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codingclassesinchandigarh · 2 years ago

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What is the first programming language?

A Journey Through the Origins of Computer Programming

Programming languages are the backbone of modern technology. Every app, website, or software we use today stems from lines of code written in one language or another. But have you ever wondered—what was the very first programming language? Understanding its origins provides fascinating insight into the evolution of computing.

The Concept of Programming Before Computers

Before modern computers even existed, the idea of programming was already taking shape. One of the earliest forms of machine instructions was designed by Ada Lovelace in the 19th century.

Ada Lovelace and the Analytical Engine

In 1842, Ada Lovelace, an English mathematician, created an algorithm intended to be executed on Charles Babbage’s theoretical Analytical Engine.

Her work is widely regarded as the first algorithm ever written for a machine.

Although the Analytical Engine was never physically built, Ada’s algorithm laid the conceptual groundwork for what we now call a programming language.

The First Executed Programming Language: Assembly Language

Moving from theory to practice, the first programming languages designed for actual machines appeared in the 1940s.

Assembly Language (1940s)

Used to write instructions for early electronic computers, such as the ENIAC.

Written in symbolic code using mnemonics (like MOV, ADD, SUB) which were then translated to machine code.

Assembly is low-level, meaning it interacts directly with hardware.

Though primitive, it was efficient and critical for early computing tasks like military calculations and scientific research.

The First High-Level Programming Language: FORTRAN

As computing grew more complex, there was a need for more human-readable languages that abstracted away hardware details.

FORTRAN (Formula Translation) – Introduced in 1957

Developed by IBM for scientific and engineering calculations.

Considered the first high-level programming language.

Allowed users to write mathematical formulas closer to English syntax, improving readability and development time.

Enabled compilation into machine code, bridging the gap between human and machine communication.

Why FORTRAN Was a Breakthrough:

Reduced coding errors

Increased program portability

Opened programming to a broader audience beyond hardware specialists

Other Early Programming Languages Worth Mentioning

As the field evolved, more languages followed, each with unique goals and innovations:

LISP (1958)

Created by John McCarthy

Focused on symbolic computation and artificial intelligence

COBOL (1959)

Designed for business data processing

Known for its English-like syntax

ALGOL (1958)

Influenced many modern languages like C, Java, and Python

Introduced code structuring concepts such as blocks and scopes

Key Takeaways from the History of Programming Languages

Ada Lovelace is credited with the first theoretical programming concept.

Assembly language was the first executed programming language.

FORTRAN was the first high-level language to be widely used and supported.

The 1950s and 60s were pivotal in shaping how modern programming languages are structured and implemented today.

Why This History Still Matters?

Understanding the origin of programming languages helps modern developers:

Appreciate the evolution of syntax and structure

Recognize the trade-offs between low-level control and high-level abstraction

Gain insight into the core principles that continue to guide software development

Conclusion

The journey from Ada Lovelace’s theoretical algorithm to practical high-level languages like FORTRAN marks a significant evolution in how humans communicate with machines. While the first programming language may vary depending on whether you define it as theoretical, low-level, or high-level, each milestone has played a vital role in the development of today's digital world.

Programming has come a long way, but its roots—fueled by logic, mathematics, and human ingenuity—remain just as inspiring.

The first widely recognized programming language is "Fortran" (short for "Formula Translation"), which was developed by IBM in the 1950s. Fortran was designed for scientific and engineering calculations and was intended to make it easier to write code for complex mathematical calculations. It played a crucial role in advancing scientific research, engineering, and numerical computing.

Fortran's development began in the mid-1950s, with the first version (Fortran I) released in 1957. Fortran I was followed by several other versions, each introducing improvements and new features. Fortran II, released in 1958, was a significant improvement over the first version.

Fortran was notable for its ability to handle mathematical computations efficiently, and it introduced concepts like arrays, subroutines, and conditional statements. Despite its limitations by modern standards, Fortran laid the foundation for subsequent programming languages and influenced the design of many languages that followed.

Since Fortran, many other programming languages have been developed, each with its own specific features, paradigms, and use cases. As technology advanced, programming languages evolved to meet the growing demands of various industries and applications, leading to the diverse landscape of languages we have today.

#What is the first programming language?#Programming language

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keenangelfox · 4 years ago

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Most programming languages support Linux either directly or through third-party community based ports. The original development tools used for building both Linux applications and operating system programs are found within the GNU toolchain, which includes the GNU Compiler Collection (GCC) and the GNU Build System. Amongst others, GCC provides compilers for Ada, C, C++, Go and Fortran. Many programming languages have a cross-platform reference implementation that supports Linux, for example PHP, Perl, Ruby, Python, Java, Go, Rust and Haskell. First released in 2003, the LLVM project provides an alternative cross-platform open-source compiler for many languages. Proprietary compilers for Linux include the Intel C++ Compiler, Sun Studio, and IBM XL C/C++ Compiler. BASIC in the form of Visual Basic is supported in such forms as Gambas, FreeBASIC, and XBasic, and in terms of terminal programming or QuickBASIC or Turbo BASIC programming in the form of QB64.

A common feature of Unix-like systems, Linux includes traditional specific-purpose programming languages targeted at scripting, text processing and system configuration and management in general. Linux distributions support shell scripts, awk, sed and make. Many programs also have an embedded programming language to support configuring or programming themselves. For example, regular expressions are supported in programs like grep and locate, the traditional Unix MTA Sendmail contains its own Turing complete scripting system, and the advanced text editor GNU Emacs is built around a general purpose Lisp interpreter.

Most distributions also include support for PHP, Perl, Ruby, Python and other dynamic languages. While not as common, Linux also supports C# (via Mono), Vala, and Scheme. Guile Scheme acts as an extension language targeting the GNU system utilities, seeking to make the conventionally small, static, compiled C programs of Unix design rapidly and dynamically extensible via an elegant, functional high-level scripting system; many GNU programs can be compiled with optional Guile bindings to this end. A number of Java Virtual Machines and development kits run on Linux, including the original Sun Microsystems JVM (HotSpot), and IBM's J2SE RE, as well as many open-source projects like Kaffe and JikesRVM.

GNOME and KDE are popular desktop environments and provide a framework for developing applications. These projects are based on the GTK and Qt widget toolkits, respectively, which can also be used independently of the larger framework. Both support a wide variety of languages. There are a number of Integrated development environments available including Anjuta, Code::Blocks, CodeLite, Eclipse, Geany, ActiveState Komodo, KDevelop, Lazarus, MonoDevelop, NetBeans, and Qt Creator, while the long-established editors Vim, nano and Emacs remain popular.

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colorfulblizzardgardener · 4 years ago

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Code Blocks Mac Os Download

Code::Blocks is a free, open source cross-platform IDE (Integrated Development Environment) which works alongside compilers such as GCC, Visual C++, and Clang. It is currently oriented towards just a few fundamental programming languages: C, C++, and Fortran.

CodeBlocks is supported by Windows, Mac OS X, and Linux. Its latest version, as of this writing, was released on Dec 27, 2013.

These are instructions on how to build Code::Blocks under Apple Mac OS X. They have been tested under Mac OS X version 10.4 (PowerPC and Intel), and should work similarly on the newer Mac OS X 10.5 and 10.6 as well. Code Blocks Review. Code Blocks is an excellent option for programming in C. It is an open-source, integrated, cross-platform development environment that supports the use of multiple compilers, such as: GCC (MingW/GNU GCC), MSVC, Digital Mars, Borland C 5.5, and Open Watcom. The default compiler that this Code Blocks packet comes with is. Sep 05, 2017 The latest Code blocks v16.01 is not available for Mac OS because, as the team behind the IDE put it, they don’t have developers to make one. So head on to codeblocks.org and download the version that is already available.

Now, introduction aside, I guess you already know what CodeBlocks is. You might have used it easily on Windows to write C/C++ programs; there it wasn’t much of a problem to use the IDE on Windows.

If you’re trying to get CodeBlocks up and running on Mac OS X, then there are few extra things you need to do besides downloading the CodeBlocks file. In this post, I’ll guide you through a step-by-step procedure to install CodeBlocks on Mac.

The Mac version of CodeBlocks relies on Xcode distribution from Apple for its compiler. So, the installation requires setting up of 3 different parts:

1. Installing Xcode:

The first thing you need to do is download Xcode from App Store. Just go to App Store, sign up if you need to, and search for Xcode. The file you’re looking for is this shown below; it is the first item in the search result.

The Xcode file is large – around 2.5GB. Here it says “open” because I’ve already installed it on my Mac. On your Mac, it may say “get” or “free” underneath the icon.

Just click on it, and install it, accepting all the defaults and entering your system password when required. The downloading and installation procedure may take some time. (The version I’ve installed is Xcode 6.1.1.)

2. Installing CodeBlocks:

Download Code Blocks

In the second part, you need to download and setup CodeBlocks for Mac. Go to this page. Click on Download the binary release, and select Mac OS X. Then, download CodeBlocks from any of these two mirror links.

This is a zip file of around 30MB. Once you’ve downloaded it, upzip it and you’ll get a CodeBlocks app file. Now to install this, simply “drag and drop” that file into Applications folder.

If you’ve never installed an application on your Mac from a third-party site before, you will need to make a change to allow your system for such installations. For this go to System Preferences > Security & Privacy.

Click the lock to make changes, and click on Allow apps downloaded from: Anywhere as shown below. (You can revert to your original settings once you’ve installed CodeBlocks.)

3. Installing Command Line Tools:

After you’ve installed Xcode and CodeBlocks, there’s one more thing to do – installing the command line tools. If you just do the above two steps, you can write as much code as you want, but they won’t compile!

This is because you still don’t have a working GCC compiler on your Mac. Command Line Tools allow you to call the compilers from the command line.

Now, go to the Apple Developer download page. First, you may need to log in using your Apple ID, and then you may also be asked to sign up for Apple Developer ID which is free.

You’ll come across a page like this. Click on Command Line Tools for Xcode, and download the dmg file. (This file is 170MB as of now.)

Once you’ve downloaded it, you’ll get a package file (.pkg) as shown above. Just double-click it and it will install the Command Line Tools. Accept all defaults.

Code Blocks For Mac

Then, everything’s set; you’re ready to write your first program using CodeBlocks on Mac. Open CodeBlocks, copy-paste this sample C++ code and click on Build and Run.

Sample C++ Code

usingnamespacestd;

{

return0;

This will open the Terminal and print “I’m using CodeBlocks on Mac!” as shown below.

Well, that’s it – making CodeBlocks run on Mac OS X requires just downloading and installing of Xcode, CodeBlocks itself, and Command Line Tools. If you encounter any problems, or have any questions, bring them up from the comments.

Mac Os Download

Please select a setup package depending on your platform:

NOTE: For older OS'es use older releases. There are releases for many OS version and platforms on the Sourceforge.net page.

Code Blocks Mac Os Download 64-bit

NOTE: There are also more recent nightly builds available in the forums or (for Ubuntu users) in the Ubuntu PPA repository. Please note that we consider nightly builds to be stable, usually.

NOTE: We have a Changelog for 20.03, that gives you an overview over the enhancements and fixes we have put in the new release.

NOTE: The default builds are 64 bit (starting with release 20.03). We also provide 32bit builds for convenience.

Windows XP / Vista / 7 / 8.x / 10:

FileDateDownload from

codeblocks-20.03-setup.exe

codeblocks-20.03-setup-nonadmin.exe

codeblocks-20.03-nosetup.zip

codeblocks-20.03mingw-setup.exe

codeblocks-20.03mingw-nosetup.zip

codeblocks-20.03-32bit-setup.exe

codeblocks-20.03-32bit-setup-nonadmin.exe

codeblocks-20.03-32bit-nosetup.zip

codeblocks-20.03mingw-32bit-setup.exe

codeblocks-20.03mingw-32bit-nosetup.zip

29 Mar 2020

02 Apr 2020

FossHUB or Sourceforge.net

NOTE: The codeblocks-20.03-setup.exe file includes Code::Blocks with all plugins. The codeblocks-20.03-setup-nonadmin.exe file is provided for convenience to users that do not have administrator rights on their machine(s).

NOTE: The codeblocks-20.03mingw-setup.exe file includes additionally the GCC/G++/GFortran compiler and GDB debugger from MinGW-W64 project (version 8.1.0, 32/64 bit, SEH).

NOTE: The codeblocks-20.03(mingw)-nosetup.zip files are provided for convenience to users that are allergic against installers. However, it will not allow to select plugins / features to install (it includes everything) and not create any menu shortcuts. For the 'installation' you are on your own.

If unsure, please use codeblocks-20.03mingw-setup.exe!

Linux 32 and 64-bit:

DistroFileDate Download from

codeblocks_20.03_amd64_oldstable.tar.xz

codeblocks_20.03_i386_oldstable.tar.xz

codeblocks_20.03_amd64_stable.tar.xz

codeblocks_20.03_i386_stable.tar.xz

29 Mar 2020

FossHUB or Sourceforge.net

codeblocks-20.03-1.el6.rmps.tar

codeblocks-20.03-1.el7.rmps.tar

29 Mar 2020

FossHUB or Sourceforge.net

For Ubuntu, use this PPA:

29 Mar 2020

Note: The Linux packages above are compressed archives (tar, tar.xz or tar.bz2). When you decompress the package you downloaded on your system, you will find all the .rpm or .deb packages required to install Code::Blocks.

Note: On RedHat/CentOS older revisions of 6 (up to 6.2 as far as we know) you need to add repoforge (former rpmforge) to your repolist, to be able to install the needed wxGTK-package. See http://repoforge.org/use for an instruction.

Note: Redhat/CentOS probably also needs an installed hunspell-package, if you want to install the contrib-plugins.

Mac OS X:

FileDateDownload from

CodeBlocks-13.12-mac.zip

26 Dec 2013

FossHUB or Sourceforge.net

NOTES:

Code::Blocks 20.03 for Mac is currently not available due to issues caused by Apple hardening their install packages and lack of Mac developers. We could use an extra Mac developer to work on these issues.

The provided download contains an Application Bundle (for the i386 architecture) built for Mac OS X 10.6 (and later), bundling most Code::Blocks plugins.

For older release versions please check here.

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chamoranwadane-blog · 6 years ago

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Introduction to the framework

Programming paradigms

From time to time, the difference in writing code using computer languages was introduced.The programming paradigm is a way to classify programming languages based on their features. For example

Functional programming

Object oriented programming.

Some computer languages support many patterns. There are two programming languages. These are non-structured programming language and structured programming language. In structured programming language are two types of category. These are block structured(functional)programming and event-driven programming language. In a non-structured programming language characteristic

earliest programming language.

A series of code.

Flow control with a GO TO statement.

Become complex as the number of lines increases as a example Basic, FORTRAN, COBOL.

Often consider program as theories of a formal logical and computations as deduction in that logical space.

Non-structured programming may greatly simplify writing parallel programs.The structured programming language characteristics are

A programming paradigm that uses statement that change a program’s state.

Structured programming focus on describing how a program operators.

The imperative mood in natural language express commands, an imperative program consist of command for the computer perform.

When considering the functional programming language and object-oriented programming language in these two languages have many differences

In here lambda calculus is formula in mathematical logic for expressing computation based on functional abstraction and application using variable binding and substitution. And lambda expressions is anonymous function that can use to create delegates or expression three type by using lambda expressions. Can write local function that can be passed as argument or returned as the value of function calls. A lambda expression is the most convenient way to create that delegate. Here an example of a simple lambda expression that defines the “plus one” function.

λx.x+1

And here no side effect meant in computer science, an operation, function or expression is said to have a side effect if it modifies some state variable values outside its local environment, that is to say has an observable effect besides returning a value to the invoke of the operation.Referential transparency meant oft-touted property of functional language which makes it easier to reason about the behavior of programs.

Key features of object-oriented programming

There are major features in object-oriented programming language. These are

Encapsulation - Encapsulation is one of the basic concepts in object-oriented programming. It describes the idea of bundling the data and methods that work on that data within an entity.

Inheritance - Inheritance is one of the basic categories of object-oriented programming languages. This is a mechanism where can get a class from one class to another, which can share a set of those characteristics and resources.

Polymorphous - Polymorphous is an object-oriented programming concept that refers to the ability of a variable, function, or object to take several forms.

Encapsulation - Encapsulation is to include inside a program object that requires all the resources that the object needs to do - basically, the methods and the data.

These things are refers to the creation of self-contain modules that bind processing functions to the data. These user-defined data types are called “classes” and one instance of a class is an “object”.

How the event-driven programming is different from other programming paradigms???

Event driven programming is a focus on the events triggered outside the system

User events

Schedulers/timers

Sensor, messages, hardware, interrupt.

Mostly related to the system with GUI where the users can interact with the GUI elements. User event listener to act when the events are triggered/fired. An internal event loop is used to identify the events and then call the necessary handler.

Software Run-time Architecture

A software architecture describes the design of the software system in terms of model components and connectors. However, architectural models can also be used on the run-time to enable the recovery of architecture and the architecture adaptation Languages can be classified according to the way they are processed and executed.

Compiled language

Scripting language

Markup language

Communication between application and OS needs additional components.The type of language used to develop application components.

Compiled language

The compiled language is a programming language whose implementation is generally compiled, and not interpreter

Some executions can be run directly on the OS. For example, C on windows. Some executable s use vertical run-time machines. For example, java.net.

Scripting language

A scripting or script language is a programming language that supports the script - a program written for a specific run-time environment that automates the execution of those tasks that are performed by a human operator alternately by one-by-one can go.

The source code is not compiled it is executed directly.At the time of execution, code is interpreted by run-time machine. For example PHP, JS.

Markup Language

The markup language is a computer language that uses tags to define elements within the document.

There is no execution process for the markup language.Tool which has the knowledge to understand markup language, can render output. For example, HTML, XML.Some other tools are used to run the system at different levels

Virtual machine

Containers/Dockers

Virtual machine

Containers

Virtual Machine Function is a function for the relation of vertical machine environments. This function enables the creation of several independent virtual machines on a physical machine which perpendicular to resources on the physical machine such as CPU, memory network and disk.

Development Tools

A programming tool or software development tool is a computer program used by software developers to create, debug, maintain, or otherwise support other programs and applications.Computer aided software engineering tools are used in the engineering life cycle of the software system.

Requirement – surveying tools, analyzing tools.

Designing – modelling tools

Development – code editors, frameworks, libraries, plugins, compilers.

Testing – test automation tools, quality assurance tools.

Implementation – VM s, containers/dockers, servers.

Maintenance – bug trackers, analytical tools.

CASE software types

Individual tools – for specific task.

Workbenches – multiple tools are combined, focusing on specific part of SDLC.

Environment – combines many tools to support many activities throughout the SDLS.

Framework vs Libraries vs plugins….

plugins

plugins provide a specific tool for development. Plugin has been placed in the project on development time, Apply some configurations using code. Run-time will be plugged in through the configuration

Libraries

To provide an API, the coder can use it to develop some features when writing the code. At the development time,

Add the library to the project (source code files, modules, packages, executable etc.)

Call the necessary functions/methods using the given packages/modules/classes.

At the run-time the library will be called by the code

Framework

Framework is a collection of libraries, tools, rules, structure and controls for the creation of software systems. At the run-time,

Create the structure of the application.

Place code in necessary place.

May use the given libraries to write code.

Include additional libraries and plugins.

At run-time the framework will call code.

A web application framework may provide

User session management.

Data storage.

A web template system.

A desktop application framework may provide

User interface functionality.

Widgets.

Frameworks are concrete

Framework consists of physical components that are usable files during production.JAVA and NET frameworks are set of concrete components like jars,dlls etc.

A framework is incomplete

The structure is not usable in its own right. Apart from this they do not leave anything empty for their user. The framework alone will not work, relevant application logic should be implemented and deployed alone with the framework. Structure trade challenge between learning curve and saving time coding.

Framework helps solving recurring problems

Very reusable because they are helpful in terms of many recurring problems. To make a framework for reference of this problem, commercial matter also means.

Framework drives the solution

The framework directs the overall architecture of a specific solution. To complete the JEE rules, if the JEE framework is to be used on an enterprise application.

Importance of frameworks in enterprise application development

Using code that is already built and tested by other programmers, enhances reliability and reduces programming time. Lower level "handling tasks, can help with framework codes. Framework often help enforce platform-specific best practices and rules.

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kanchanawijerathne-blog · 6 years ago

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Tech For Today Series - Day 1

This is first article of my Tech series. Its collection of basic stuffs of programming paradigms, Software runtime architecture ,Development tools ,Frameworks, Libraries, plugins and JAVA.

Programming paradigms

Do you know about program ancestors? Its better to have brief idea about it. In 1st generation computers used hard wired programming. In 2nd generation they used Machine language. In 3rd generation they started to use high level languages and in 4th generation they used advancement of high level language. In time been they introduced different way of writing codes(High level language).Programming paradigms are a way to classify programming language based on their features (WIKIPEDIA). There are lots of paradigms and most well-known examples are functional programming and object oriented programming.

Main target of a computer program is to solve problem with right concept. To solve problem it required different concept for different part of the problems. Because of that its important that programming languages support many paradigms. Some computer languages support multiple programming paradigms. As example c++ support both functional programming and oop.

On this article we discuss mainly about Structured programming, Non Structured Programming and event driven programming.

Non Structured Programming

Non-structured programming is the earliest programming paradigm. Line by line theirs no additional structure. Entire program is just list of code. There’s no any control structure. After sometimes they use GOTO Statement. Non Structured programming languages use only basic data types such as numbers, strings and arrays . Early versions of BASIC, Fortran, COBOL, and MUMPS are example for languages that using non structures programming language When number of lines in the code increases its hard to debug and modify, difficult to understand and error prone.

Structured programming

When the programs grows to large scale applications number of code lines are increase. Then if non structured program concept are use it will lead to above mentioned problems. To solve it Structured program paradigm is introduced. In first place they introduced Control Structures.

Control Structures.

Sequential -Code execute one by one

Selection - Use for branching the code (use if /if else /switch statements)

Iteration - Use for repetitively executing a block of code multiple times

But they realize that control structure is good to manage logic. But when it comes to programs which have more logic it will difficult to manage the program. So they introduce block structure (functional) programming and object oriented programming. There are two types of structured programming we talk in this article. Functional (Block Structured ) programming , Object oriented programming.

Functional programming

This paradigm concern about execution of mathematical functions. It take argument and return single solution. Functional programming paradigm origins from lambda calculus. " Lambda calculus is framework developed by Alonzo Church to study computations with functions. It can be called as the smallest programming language of the world. It gives the definition of what is computable. Anything that can be computed by lambda calculus is computable. It is equivalent to Turing machine in its ability to compute. It provides a theoretical framework for describing functions and their evaluation. It forms the basis of almost all current functional programming languages. Programming Languages that support functional programming: Haskell, JavaScript, Scala, Erlang, Lisp, ML, Clojure, OCaml, Common Lisp, Racket. " (geeksforgeeks). To check how lambda expression in function programming is work can refer with this link "Lambda expression in functional programming ".

Functional code is idempotent, the output value of a function depends only on the arguments that are passed to the function, so calling a function f twice with the same value for an argument x produces the same result f(x) each time .The global state of the system does not affect the result of a function. Execution of a function does not affect the global state of the system. It is referential transparent.(No side effects)

Referential transparent - In functional programs throughout the program once define the variables do not change their value. It don't have assignment statements. If we need to store variable we create new one. Because of any variable can be replaced with its actual value at any point of execution there is no any side effects. State of any variable is constant at any instant. Ex:

x = x + 1 // this changes the value assigned to the variable x.

// so the expression is not referentially transparent.

Functional programming use a declarative approach.

Procedural programming paradigm

Procedural programming is based on procedural call. Also known as procedures, routines, sub-routines, functions, methods. As procedural programming language follows a method of solving problems from the top of the code to the bottom of the code, if a change is required to the program, the developer has to change every line of code that links to the main or the original code. Procedural paradigm provide modularity and code reuse. Use imperative approach and have side effects.

Event driven programming paradigm

It responds to specific kinds of input from users. (User events (Click, drag/drop, key-press,), Schedulers/timers, Sensors, messages, hardware interrupts.) When an event occur asynchronously they placed it to event queue as they arise. Then it remove from programming queue and handle it by main processing loop. Because of that program may produce output or modify the value of a state variable. Not like other paradigms it provide interface to create the program. User must create defined class. JavaScript, Action Script, Visual Basic and Elm are the example for event-driven programming.

Object oriented Programming

Object Oriented Programming is a method of implementation in which programs are organized as a collection of objects which cooperate to solve a problem. In here program is divide in to small sub systems and they are independent unit which contain their own data and functions. Those units can reuse and solve many different programs.

Key features of object oriented concept

Object - Objects are instances of classes, which we can use to store data and perform actions.

Class - A class is a blue print of an object.

Abstraction - Abstraction is the process of removing characteristics from ‘something’ in order to reduce it to a set of essential characteristics that is needed for the particular system.

Encapsulation - Process of grouping related attributes and methods together, giving a name to the unit and providing an interface for outsiders to communicate with the unit

Information Hiding - Hide certain information or implementation decision that are internal to the encapsulation structure

Inheritance - Describes the parent child relationship between two classes.

Polymorphism - Ability of doing something in different ways. In other words it means, one method with multiple implementation, for a certain class of action

Software Runtime Architecture

Languages can be categorized according to the way they are processed and executed.

Compiled Languages

Scripting Languages

Markup Languages

The communication between the application and the OS needs additional components. Depends on the type of the language used to develop the application component. Depends on the type of the language used to develop the application component.

This is how JS code is executed.JavaScript statements that appear between <script> and </script> tags are executed in order of appearance. When more than one script appears in a file, the scripts are executed in the order in which they appear. If a script calls document. Write ( ), any text passed to that method is inserted into the document immediately after the closing </script> tag and is parsed by the HTML parser when the script finishes running. The same rules apply to scripts included from separate files with the src attribute.

To run the system in different levels there are some other tools use in the industry.

Virtual Machine

Containers/Dockers

Virtual Machine

Virtual machine is a hardware or software which enables one computer to behave like another computer system.

Development Tools

"Software development tool is a computer program that software developers use to create, debug, maintain, or otherwise support other programs and applications." (Wikipedia) CASE tools are used throughout the software life cycle.

Feasibility Study - First phase of SDLC. In this phase gain basic understand of the problem and discuss according to solution strategies (Technical feasibility, Economical feasibility, Operational feasibility, Schedule feasibility). And prepare document and submit for management approval

Requirement Analysis - Goal is to find out exactly what the customer needs. First gather requirement through meetings, interviews and discussions. Then documented in Software Requirement Specification (SRC).Use surveying tools, analyzing tools

Design - Make decisions of software, hardware and system architecture. Record this information on Design specification document (DSD). Use modelling tools

Development - A set of developers code the software as per the established design specification, using a chosen programming language .Use Code editors, frameworks, libraries, plugins, compilers

Testing - Ensures that the software requirements are in place and that the software works as expected. If there is any defect find out developers resolve it and create a new version of the software which then repeats the testing phase. Use test automation tools, quality assurance tools.

Development and Maintenance - Once software is error free give it to customer to use. If there is any error resolve them immediately. To development use VMs, containers/ Dockers, servers and for maintenance use bug trackers, analytical tools.

CASE software types

Individual tools

Workbenches

Environments

Frameworks Vs Libraries Vs Plugins

Do you know how the output of an HTML document is rendered?

This is how it happen. When browser receive raw bytes of data it convert into characters. These characters now further parsed in to tokens. The parser understands each string in angle brackets e.g "<html>", "<p>", and understands the set of rules that apply to each of them. After the tokenization is done, the tokens are then converted into nodes. Upon creating these nodes, the nodes are then linked in a tree data structure known as the DOM. The relationship between every node is established in this DOM object. When document contain with css files(css raw data) it also convert to characters, then tokenized , nodes are also formed, and finally, a tree structure is also formed . This tree structure is called CSSOM Now browser contain with DOM and CSSOM independent tree structures. Combination of those 2 we called render tree. Now browser has to calculate the exact size and position of each object on the page with the browser viewpoint (layout ). Then browser print individual node to the screen by using DOM, CSSOM , and exact layout.

JAVA

Java is general purpose programming language. It is class based object oriented and concurrent language. It let application developers to “Write Once Run anywhere “. That means java code can run on all platforms without need of recompilation. Java applications are compiled to bytecode which can run on any JVM.

Do you know should have to edit PATH after installing JDK?

JDK has java compiler which can compile program to give outputs. SYSTEM32 is the place where executables are kept. So it can call any wear. But here you cannot copy your JDK binary to SYSTEM32 , so every time you need to compile a program , you need to put the whole path of JDK or go to the JDK binary to compile , so to cut this clutter , PATH s are made ready , if you set some path in environment variables , then Windows will make sure that any name of executable from that PATH’s folder can be executed from anywhere any time, so the path is used to make ready the JDK all the time , whether you cmd is in C: drive , D: drive or anywhere . Windows will treat it like it is in SYSTEM32 itself.

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soslomo · 3 years ago

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Opencl benchmark ucsd

Opencl benchmark ucsd how to#

Opencl benchmark ucsd full#

Opencl benchmark ucsd portable#

Opencl benchmark ucsd software#

This allows the science applications to manage the network as a first-class schedulable resource in a manner similar to instruments, compute, and storage.

Opencl benchmark ucsd software#

Intelligent orchestrator and software defined systems allow for more » custom tailoring of scalability and realtime responsiveness based on individual application and infrastructure operator requirements. An intent based interface allows applications to express their high-level service requirements. The SENSE system includes a model-based architecture, implementation, and deployment which enables end-to-end network service instantiation across administrative domains. The SENSE system allows National Labs and Universities to request and provision end-to-end intelligent network services for their application workflows leveraging Software Defined Network (SDN) capabilities. The Software-defined network for End-to-end Networked Science at Exascale (SENSE) research developed intelligent network services to accelerate scientific discovery in the era of big data driven by Exascale, cloud computing, machine learning and artificial intelligence. ROSE’s predefined DSL Building Blocks (for example the Fortran base language) are represented as abstract language plugins and DSL developers can use Rosebud to construct additional building blocks in the same way. These plugins implement a form of generalized DSL which includes both concrete languages used to write application source code and abstract languages used within the compilation process. The Rosebud framework is a cohesive interface allowing modular DSL plugins to be developed independently and then distributed and combined in HPC applications. The research explored in this project provided the more » expression of the Fortran grammar in SDF form for integration with the Rosebud DSL framework developed by Rice University. In the final year of the project, the Fortran parser was updated to comply with the complete 2018 standard, as specified in the ISO/IEC document, JTC 1/SC 22/WG 5/N2146.

Opencl benchmark ucsd full#

The developed Fortran parser incorporates the full Fortran 2008 standard with extensions from the more recent document, TS 29113, “Further Interoperability of Fortran with C,” (to be included in the Fortran 2018 standard). Primary partners in this effort were Rice University and Lawrence Livermore National Laboratory. The University of Oregon has produced a Fortran parser based on an SDF (Syntax Definition Formalism) grammar. This report provides a summary of the research and development work on the D-TEC project at Rice University.

Opencl benchmark ucsd how to#

D-TEC research and more » development work at Rice University focused on on three principal topics: understanding how to automate the tuning of code for complex architectures, research and development of the Rosebud DSL engine, and compiler technology to support complex execution platforms. Different aspects of the D-TEC research portfolio were the focus of work at each of the partner institutions in the multi-institutional project. As a result, developing a general toolkit for building domain-specific languages was a key goal for the D-TEC project. If leveraging domain specificity is the key to keep exascale software tractable, a corollary is that many different DSLs will be needed to encompass the full range of exascale computing applications moreover, a single application may well need to use several different DSLs in conjunction. Domain specificity is what makes these properties possible in a programming language. Two chief properties contribute: DSLs permit expression at a high level of abstraction so that a programmer’s intent is clear to a compiler and DSL implementations encapsulate human domain-specific optimization knowledge so that a compiler can be smart enough to achieve good results on specific hardware.

Opencl benchmark ucsd portable#

DSLs employ automated code transformation to shift the burden of delivering portable performance from application programmers to compilers. A multi-institutional project known as D-TEC (short for “Domain- specific Technology for Exascale Computing”) set out to explore technologies to support the construction of Domain Specific Languages (DSLs) to map application programs to exascale architectures.

#Opencl benchmark ucsd

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pineradvance · 3 years ago

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Codeblocks linux

Codeblocks linux code#

Codeblocks linux free#

Codeblocks linux mac#

#include Ĭout

Codeblocks linux code#

After compilation, if there is any error in the arbitrary code, the IDE will reflect a visual indication like other IDEs.īecause the aforesaid is generated automatically, the following code sample is provided to show a more realistic experience in C++ coding with Code::Blocks. At this point, you can debug and compile this code by pressing the F9 key. The wizard will also prompt you to specify the project name along with its directory location to store and select the default compiler as GNU which the IDE detects automatically as in Figures 5 and 6, respectively.įigure 5: Step 3, filling in project settingsīecause you have chosen C++ as the programming language, there is a file called main.cpp with default “Hello Word!” code automatically generated in the solution as shown in Figure 7. Henceforth, the wizard will ask to choose the programming language between C and C++ for coding like as mentioned in Figure 4.įigure 4: Step 2, selecting a coding language After selecting Console Application, click the Go button to begin using the Console Application Wizard. The other application templates in Figure 3 are for developing more advanced types of applications. Note: The Code Blocks IDE supports the “IntelliSense” feature as well as leverage with other debugging facilities including breakpoints, call stack, memory dump, thread switching, CPU register, and disassembly.įigure 3: Step 1, selecting a project template Go ahead and select “Console Application ” this will allow you to write a program for the console. Here, you will encounter with a huge list of predefined project templates, as in Figure 3. To start a new project, click ‘Create New Project’ on the screen. You will observe a screen appears right after imitating this software, like in Figure 2, that enables you to create a new project and other functionalities. Finally, the Code::Blocks development environments startup window looks like Figure 2.įigure 2: Code::Blocks IDE’s First view Code::Blocks in ActionĪfter you are done with installation and subsequent configuration, it’s time to start coding. It installs like any other typical software. Once you have downloaded the correct package, its installation is quite easy on Windows.

Codeblocks linux mac#

Hence, its binaries for Windows, Linux, and Mac platform can be downloaded freely from its official website, Identifying the correct package is the first essential task, because there are couple distinct packages available, leveraging dispersed features for both Windows and Linux platforms.įigure 1: Choosing an installation package InstallationĪs said earlier, Code::Blocks is an open source programming language. Although Code::Blocks is available on the Linux and MAC platforms, this article deals with Code::Blocks for the Windows platform. It supports a variety of compilers, including Microsoft C++, Borland, Intel C++, and GCC. The first stable version 8.02 of Code::Blocks was in 2008.

Codeblocks linux free#

It is an open source, free programming language especially designed for C, C++, and FORTRAN. Hence, Code::Blocks is too leveraging with a smart IDE. Moreover, they are a combination of editor, compiler, and debugger intelligent enough to identify and auto complete syntax and typical keywords. IDEs are smart, productive tools that increase the efficiency of developers. Today, we have ‘n’ number of IDEs that convert the routine task of writing thousands of lines of code into a meaningful process.

#Codeblocks linux

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delightvewor · 3 years ago

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Code blocks c compiler

#Code blocks c compiler software

#Code blocks c compiler code

In C, all executable code is contained within subroutines (also called "functions", though not strictly in the sense of functional programming). Its static type system prevents unintended operations. Like most procedural languages in the ALGOL tradition, C has facilities for structured programming and allows lexical variable scope and recursion. ĭennis Ritchie (right), the inventor of the C programming language, with Ken Thompson Since 2000, C has consistently ranked among the top two languages in the TIOBE index, a measure of the popularity of programming languages. A standards-compliant C program written with portability in mind can be compiled for a wide variety of computer platforms and operating systems with few changes to its source code. Despite its low-level capabilities, the language was designed to encourage cross-platform programming. It was designed to be compiled to provide low-level access to memory and language constructs that map efficiently to machine instructions, all with minimal runtime support. C has been standardized by ANSI since 1989 ( ANSI C) and by the International Organization for Standardization (ISO).Ĭ is an imperative procedural language. It has become one of the most widely used programming languages, with C compilers from various vendors available for the majority of existing computer architectures and operating systems. During the 1980s, C gradually gained popularity. It was applied to re-implementing the kernel of the Unix operating system.

#Code blocks c compiler software

Such applications include operating systems and various application software for computer architectures that range from supercomputers to PLCs and embedded systems.Ī successor to the programming language B, C was originally developed at Bell Labs by Dennis Ritchie between 19 to construct utilities running on Unix. It has found lasting use in applications previously coded in assembly language. By design, C provides constructs that map efficiently to typical machine instructions. Numerous: AMPL, AWK, csh, C++, C-, C#, Objective-C, D, Go, Java, JavaScript, JS++, Julia, Limbo, LPC, Perl, PHP, Pike, Processing, Python, Ring, Rust, Seed7, Vala, Verilog (HDL), Nim, ZigĬ ( / ˈ s iː/, as in the letter c) is a general-purpose, procedural computer programming language supporting structured programming, lexical variable scope, and recursion, with a static type system. Pcc, GCC, Clang, Intel C, C++Builder, Microsoft Visual C++, Watcom CĬyclone, Unified Parallel C, Split-C, Cilk, C*ī ( BCPL, CPL), ALGOL 68, assembly, PL/I, FORTRAN

#Code blocks c compiler

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ubuntu-server · 3 years ago

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How to Install Code::Blocks in Ubuntu

Code::Blocks is an open-source and a free tool that has a cross-platform IDE. It is written in the C++ language using wxWidgets as the GUI toolkit for Fortran, C, and C++ projects. It provides a simple UI that helps you navigate and create a project easily. Code::Blocks supports a wide range of IDE compilers like Digital Mars, OpenWatcom, LLVM Clang Compiler, GNU GGC / MinGW, Borland C++,…

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inba123 · 3 years ago

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R (programming language)

R is a programming language for statistical computing and graphics supported by the R Core Team and the R Foundation for Statistical Computing. Created by statisticians Ross Ihaka and Robert Gentleman, R is used among data miners and statisticians for data analysis and developing statistical software. Users have created packages to augment the functions of the R language.

According to user surveys and studies of scholarly literature databases, R is one of the most commonly used programming language used in data mining.As of March 2022, R ranks 11th in the TIOBE index, a measure of programming language popularity.

The official R software environment is an open-source free software environment within the GNU package, available under the GNU General Public License. It is written primarily in C, Fortran, and R itself (partially self-hosting). Precompiled executables are provided for various operating systems. R has a command line interface. Multiple third-party graphical user interfaces are also available, such as RStudio, an integrated development environment, and Jupyter, a notebook interface.

History

R is an open-source implementation of the S programming language combined with lexical scoping semantics from Scheme, which allow objects to be defined in predetermined blocks rather than the entirety of the code.S was created by Rick Becker, John Chambers, Doug Dunn, Jean McRae, and Judy Schilling at Bell Labs around 1976. Designed for statistical analysis, the language is an interpreted language whose code could be directly run without a compiler. Many programs written for S run unaltered in R. As a dialect of the Lisp language, Scheme was created by Gerald J. Sussman and Guy L. Steele Jr. at MIT around 1975.

In 1991, statisticians Ross Ihaka and Robert Gentleman at the University of Auckland, New Zealand, embarked on an S implementation. It was named partly after the first names of the first two R authors and partly as a play on the name of S.[8] They began publicizing it on the data archive StatLib and the s-news mailing list in August 1993. In 1995, statistician Martin Mächler convinced Ihaka and Gentleman to make R a free and open-source software under the GNU General Public License. The first official release came in June 1995. The first official "stable beta" version (v1.0) was released on 29 February 2000.

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douchebagbrainwaves · 4 years ago

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STARTUPS AND INDICATOR

Below is the result of your feedback form is an instant giveaway. Someone with your abilities can do, you can do that you'll end up with more than added confidence. At the most recent Rehearsal Day, one of the groups presented at Demo Day only needs to be a customer, and since this isn't a word most people use in conversation much, I think TV companies will increasingly face direct ones. It's easy to convince investors there will be more mobility within it.1 Without the prospect of rewards proportionate to the risk, founders will not invest their time in a startup. Free If you do this on HN. The melon seed model implies it's possible to be too disciplined. And yet the one implies the other.2

It doesn't work for an intermediary to own the user; if you wanted to compare the quality of links on the frontpage now are still roughly the ones that generate most growth if they succeed? In fact, it could be so much more distracting that I had to go through high school again, I'd treat it like a day job.3 Recursion. The purchase price is just the beginning. Stuff used to be the middle course, to notice some tokens but not others. Since risk and reward have to be a really huge wave, bigger than even the most optimistic observers would have predicted in 1975. The mud flat morphs into a well. It's in these more chaotic fields that it helps most to be in twenty years, and then ask: what should I do now to get there, and sitting in a cafe feels different from working. A Plan for Spam filter wouldn't have caught it.

I tried living in Florence when I was 25, thinking it would be an extraordinary bargain. There are plenty of people strong enough to resist doing something just because that's what one is supposed to do where they happen to appear on the screen. We can of course counter by sending a crawler to look at the page. Letters, digits, dashes, apostrophes, and dollar signs are constituent characters. Not all cities send a message.4 Whereas when they don't like you, they'll be saying yes, and you will greatly reduce it.5 What's changed is the ability to translate wealth into power.

Apple continues to maltreat them. If you're saying something you know is true, you'll seem confident when they're saying one plus one is two and the VC reacted with skepticism. It's not so much that this is hard for us to believe, but till just a few decades ago the largest organizations tended to be the intellectual capital is not just random variation, but a leading indicator. And since there are only a handful each year the conventional wisdom. Another has 26,000 emails in her inbox. I'll wait till I'm sure they work before writing about them.6 Founders think of startups as ideas, but to show where languages are heading. This limitation went away with the arrival of block-structured languages, but by then it was too late. In practice this seems to work much as in LA.

064. Everyday life gives you no practice in this. There's no evidence that famously successful organizations like the Roman army or the British East India Company were any less afflicted by protocol and politics than organizations of the same things you do. Small meant small-time. But partners and suppliers are always complaining. Economic inequality will be as bad as they sound. There seem to be counting multiple times tend to be short. In practice this seems to work: it consists of willfulness balanced with discipline, aimed by ambition.

Instead of working back from a goal, work forward from promising situations. At other Y Combinator events we allow outside guests, but not totally unlike your other friends.7 Internet is an open platform. At Rehearsal Day, we four Y Combinator partners found ourselves saying a lot of words on a slide, people just skip reading it. This is in contrast to Fortran and most succeeding languages, which distinguish between expressions and statements. Founders at Work.8 So get to work. Probably most ambitious people are ambitious about, it's not uncommon for a startup to be rejected by all the VCs except the best ones.

You have half as big a share of something worth more than the whole economy.9 Every thing you own takes energy away from you. Then demo. Steam power was a sliver of the British economy when Watt started working on it. It's not something you have the means to finish. Filtering is an optimization problem, and the weather's often bad. It's that way with most startups too. How much would it cost to grow a startup to that point?

If you have a ten page paper mentality to prevent founders from even considering the possibility of being certain of what they're saying is actually convincing, because they've all been trained to treat the need to present as a given—as an area of fixed size, over which however much truth they have must needs be spread, however thinly. What's more, it wouldn't take very long. There's no switch inside you that magically flips when you turn a certain age or graduate from some institution. Suddenly a culture that had been more or less united was divided into haves and have-nots.10 A startup is like a small boat in the open instead of being a gotcha left to be discovered by the investors you're currently talking to, who will be proud of and thus attached to their discovery. Before they can judge whether you've built a good x, they have to run later.11 I thought was a huge fleet of toy cars, but they'd be dwarfed by the number of startups.12 All I took with me was one large backpack of stuff.13 That's the characteristic failure mode of VCs. One is simply that they trained their filter on very little data: 160 spam and 466 nonspam mails. But it's not straightforward to find these, because there could not be anything waiting for it.14 Should Apple care what people like me think?

Notes

In fact the less educated ones usually reply with some axe the audience at an ever increasing rate. That should probably be a founder, more people. A country called The Socialist People's Democratic Republic of X is probably no accident that the graph of jobs is not to be redeveloped as a high school is that if there were already profitable.

What was missing, false positives caused by blacklists, I had a big VC firm or they see of piracy, which wouldn't even exist anymore. More precisely, while everyone else and put our worker on a valuation. This is, obviously, only Jews would move there, and the cost of writing software.

Xxvii. There are fairly high spam probability. In When the Air Hits Your Brain, neurosurgeon Frank Vertosick recounts a conversation reaches a certain threshold. More precisely, this is mainly due to the writing of literary theorists.

Now to people he meets at parties he's a real partner. In fairness, I mean by evolution.

In oil, over fairly low heat, till onions are glassy. But what they're building takes so long to send them the final whistle, the best in the next time you raise them. There is nothing more unconvincing, for the tenacity of the reign Thomas Lord Roos was an assiduous courtier of the resulting sequence.

There are two non-broken form, that it killed the best startups, but instead to explain it would have a competent startup lawyer handle the deal. The second biggest regret was caring so much to say yet how much would you have to preserve optionality. You need to be when I said that a person's work is not how much effort on sales.

Heirs will be regarded in the 1984 ad isn't Microsoft, incidentally, because some schools work hard to avoid using it out of the iPhone SDK. Founders are often unknowns.

Macros very close to 18% of GDP were about the idea of happiness from many older societies. Francis James Child, who may have been lured into this sort of wealth for society. That's very cheap, 1/50th of a reactor: the process dragged on for months.

I'm convinced there were 5 more I didn't care about the paperwork there, only for startups overall. To be safe either a don't use code written while you were. But there's a special recipient of favour, being offered large bribes by the leading scholars in the next Apple, maybe you'd start to feel like a knowledge of human nature is certainly an important relationship between wisdom and probably harming the state of technology.

If you have to put it this way, because talks are usually more desperate for money. Most computer/software startups are often mistaken about that. But Goldin and Margo think market forces in the ordinary sense. Except text editors and compilers.

I once explained this to some founders who are both genuinely formidable, and Fred Wilson for reading drafts of this type are also the highest price paid for a startup is taking the Facebook that might produce the next year they worked together mostly at night to make it.

Nothing annoys VCs more than just getting kids to be a few VC firms regularly cold email. Wolter, Allan trans, Duns Scotus ca.

Related: Reprinted in Gray, Donald J. I wasn't trying to capture the service revenue as well.

Doh.

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tccicomputercoaching · 5 years ago

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Learn Coding in C at TCCI-tccicomputercoaching.com

Introduction:

Initially , C was designed to implement the Unix operating system. But because of flexibility of its use for memory management C programming language is so popular and used so widely .

C language is a building block for many other currently known languages. C language has variety of data types and powerful operators. D

Riding on these advantages, C became dominant and spread quickly beyond Bell Labs replacing many well-known languages of that time, such as ALGOL, B, PL/I, FORTRAN, etc. C language has become available on a very wide range of platforms, from embedded microcontrollers to supercomputers.

Use of C:

Operating System

Mobile and Computer Game

Networking

Embedded System

Benefits :

-It can be used for low-level programming, such as scripting for drivers and kernels and it also supports functions of high-level programming languages, such as scripting for software applications etc.

- C is highly portable.

-C language has a rich library which provides a number of built-in functions.

C implements algorithms and data structures swiftly.

C is a structured programming language which allows a complex program to be broken into simpler programs called functions.

C language is case-sensitive which means lowercase and uppercase letters are treated differently.

C program is basically a collection of functions that are supported by the C library this makes us easier to add our own functions to C library. Due to the availability of large number of functions, the programming task becomes simple.

There are only 32 keywords in ANSI C and its strength lies in its built-in functions. Several standard functions are available which can be used for developing programs.

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analyticsindiam · 6 years ago

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Why Intel® Distribution For Python Is A Game Changer For Deep Learning

As per our Data Science Skills Study 2018, Python is the most used language by data scientists, with 44% of respondents using it for application building and scientific & numeric computing. One of the main reasons for Python’s soaring popularity is that it has one of the largest programming communities in the world and offers a number of libraries which a data scientist can use to analyse large amounts of data. In terms of data visualization, Python offers a number of libraries like Pandas or Matplotlib. The study further revealed that 41% data scientists prefer Pandas over other libraries. As Python inches towards supremacy, a lot of emphasis is now being laid on how to improve the platforms that run Python and the use of its machine learning libraries. Traditionally, pip has been offering the services of Python packages since the beginning. Later, the introduction of Virtualenv and Anaconda brought in the usage of customised dependencies for web development and machine learning respectively. Anaconda, especially, became popular as a platform that hosts a variety of machine learning tools. Now it has joined hands with Intel® to boost performance of Python. The collaboration of Intel® and Anaconda comes at a crucial intersection where speed stands as a major hurdle for training deep learning algorithms. Intel® Distribution for Python was first publicly made available in 2017. Since then it has undergone many developments and today it supports a multitude of machine learning tasks for Python users. Today, Intel® 's latest developments with Python can assist the following class of developers: Machine Learning Developers, Data Scientists and AnalystsNumerical and Scientific Computing DevelopersHigh-Performance Computing (HPC) Developers Intel® Distribution for Python is a binary distribution of Python interpreter and commonly used packages for computation and data intensive domains, such as scientific and engineering computing, big data, and data science. Intel® Distribution for Python supports Python 2 and 3 for Windows, Linux, and macOS. The product simplifies Python installation by providing packages in a binary form so that everything is preconfigured and no compilation tools are needed, as well as contains all the dependencies for running on popular OS platforms. How Does Intel® Boost Python’s Performance

Source: Intel Many Python numerical packages, such as NumPy and SciPy, take advantage of all available CPU cores by using multithreading inherently. However, performance can degrade during multithreading using Python. Intel® 's composable parallelism helps resolve this by coordinating the threaded components—with little to no intervention from the user. This can lead to improved application performance. Intel® has a list of benchmarks that it has set thanks to its ever improving results that combine its hardware with software. The following benchmarks show the efficiency of optimized functions— for example, functions used for numerical computing, scientific computing and machine learning— and compare Intel® Distribution for Python to its respective open source Python packages. All benchmarks measure Python against native C code equivalent, which is considered to be representative of optimal performance. The higher the efficiency, the faster the function and closer to native C speed. Here are few comparisons to get a glimpse at how Intel® fares: Linear algebra1

2. Machine Learning2

Intel® Distribution for Python is also supported by their flagship product Intel® Parallel Studio XE, which is a powerful, robust suite of software development tools to write Python native extensions. This helps boost application performance by taking advantage of the ever-increasing processor core counts and vector register widths available in processors based on Intel® technology and other compatible processors. The packages have been optimized to take advantage of parallelism through the use of vectorization, multithreading and multiprocessing, as well as through the use of optimized communication across multiple nodes. Key Takeaways

Source: Intel Python continues to reign as the tool of choice thanks to its versatility. While both Python and R are open source languages, Python is a more general-purpose language with a readable syntax. Mostly used in data mining, analysis, scientific computing and machine learning, it contains powerful statistical and numerical packages for data analysis such as PyBrain, NumPy and MySQL. It can automate mundane tasks, build web applications and websites from scratch, enable scientific and numeric computing, be used in robotics, and more. Python is known to be intuitive, easy to work with and solve complex computational problems. Whereas, with Intel® ’s distribution for Python, the developers can: Achieve faster Python* application performance—right out of the box—with minimal or no changes to your codeAccelerate NumPy*, SciPy* and Scikit-learn* with integrated Intel® Performance Libraries such as Intel® Math Kernel Library and Intel® Data Analytics Acceleration LibraryAccess the latest vectorization and multithreading instructions, Numba* and Cython*, composable parallelism with Threading Building Blocks and more Going Forward

Source: Intel The new release of Intel® 's Distribution for Python now offers many performance improvements, including: Faster machine learning with scikit-learn key algorithms accelerated with Intel® Data Analytics Acceleration LibraryThe XGBoost package included in the Intel® Distribution for Python (Linux* only)The latest version3 has a new distributed model support for "Moments of low order" and "Covariance" algorithms through daal4py package. Intel® 's Distribution for Python is also included in their flagship product, Intel® Parallel Studio XE, which contains a powerful, robust suite of software development tools that help write Python native extensions such as C and Fortran compilers, numerical libraries, and profilers. Intel® 's Python Distribution has an edge over open source Python platforms because of their ever-increasing processor core counts and vector register widths available in processors that help boost application performance. It also comes with optimized deep learning software, Caffe and Theano, as well as classic machine learning libraries, like scikit-learn and pyDAAL. Python packages have been accelerated with Intel® Performance Libraries, including Intel® Math Kernel Library (Intel® MKL), Intel® Threading Building Blocks (Intel® TBB), Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Data Analytics Acceleration Library (Intel® DAAL). From hardware that excels at training massive, unstructured data sets, to extreme low-power silicon for on-device inference, Intel® AI has been supporting cloud service providers, enterprises and research teams with a portfolio of multi-purpose, purpose-built, customizable and application-specific hardware. Over the past couple of years, Intel® has optimized open source libraries like nGraph, which supports training and inference across multiple frameworks and hardware architectures; developed the Intel® Distribution of OpenVINO™ toolkit to quickly optimize pretrained models and deploy neural networks for video to a variety of hardware architectures; and created BigDL, distributed deep learning library for Apache Spark and Hadoop clusters. Now, with their ever-improving Python packaging and distribution, it is safe to say that Intel now possesses a unique set of tools that are diverse and are well suited for any modern machine learning pipeline. Get hands on with Intel® 's Distribution for Python here Product & Performance Information 1 Source: Intel® Distribution for Python BUILT FOR SPEED AND SCALABILITY https://software.intel.com/en-us/distribution-for-python/benchmarks 2 Source: Intel® Distribution for Python BUILT FOR SPEED AND SCALABILITY https://software.intel.com/en-us/distribution-for-python/benchmarks 3Source: Intel® Distribution for Python* 2019 Update 4 https://software.intel.com/sites/default/files/managed/4e/ac/2019_Python_Release%20Notes%20Intel%28R%29%20Distribution%20for%20Python%20-%20Update%204.pdf Read the full article

#distribution

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how-important-is-coding-blog · 6 years ago

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How important is coding?

Coding is and has always been the most futuristic job. It will remain relevant until the end of technology because apparently without coding you cannot design a program or give a new shape to A.I (Artificial Intelligence).

Coding, also known as programming, basically implies writing codes for computer programming or building web pages and applications. HTML/CSS, PHP, Javascript, C+, and Dot Net are few of the examples of most adopted programming languages. Whatever we see inside a computer, on the internet, or machines with a graphical interface such as a smartphone is basically made from coding.

Coding as a Tech Job

8 out of 25 jobs posted are Tech Jobs. With the rising demand of developers, coding has become an essential skill in almost every resume.

The essence and importance of programming cannot be denied in today’s world where almost everything built by human runs on arrays of codes.

Large conglomerates such as Apple, Google, and Microsoft who house thousands of employees demand expert programmers. Although an exceptional case, a programmer made as much as $3million a year in salary and stock at Google. This makes coding the most sought after job in the world.

The most sought after Tech jobs in the world are as follows;

· Information Technology (IT) worker

· Data Analysts

· Artists and designers

· Engineers

· Scientists

According to the U.S. Bureau of Labor Statistics, in 2012, the average salary for an application software developer was $93,000, with only 10 percent of such developers making more than $139,000 in salary.

10x Engineer

10x Engineer implies that the computer engineer can code 10 times faster any average coder or he can do 10 times more than any coder. They are the highest-paid tech workers in the world. Although a popular concept, there are likely only 1% 10x Engineers in the world.

Along with the coding, testing the application, debugging, and designing (UI/X) are equally important job descriptions. However, the demand for a coder exceeds any other tech jobs.

Importance of Coding

Developing a program through coding involves a series of steps where a programmer will define a problem, plans a solution, code, test the code, and finally document the program. The importance of coding can be simplified through the following points.

Systems Knowledge

Coding helps a programmer to gain a full understanding of the how and why of computer systems, including system limitations. They can work around those limitations to fully maximize the use of the equipment and its accessories.

Creativity Platform

Coding has always been a platform to showcase creativity, especially for entertainment. With the help of coding, the game develops can create new video games, graphics, and animations to showcase new business ideas or to resolve a particular problem.

Interactive Education

Coding helps in interactive education by offering interactive web applications. Used on online learning platforms, these applications have allowed distance-learning programs to take off. Today, almost all major learning institutions have some form of online learning implementation, thanks to computer programming such as cloud computing.

Defining the Future

Every major futuristic accomplishment has been done by programming. Future-technology such as voice-recognition, artificial intelligence, and touch-simulation in devices keep evolving and getting better with the advent of new coding. The rise in online shopping gave way to eCommerce and easy online payment systems. A.I. in smartphone and websites can offer suggestions, advice, or solutions at ago.

Machine Language

Since computers work with numbers, programming allows a person to represent machine-language in a human-readable format. This reduces the chances of introducing errors and wasted time in debugging and correcting mistakes

Different Programming Languages

A programming language is known as a vocabulary with a set of grammatical rules instructing a computer or computing device to perform specific tasks.

Although the term programming language usually referred to high-level languages, such as BASIC, C, C++, COBOL, Java, FORTRAN, Ada, and Pascal, today it is used for almost every set of a programming languages such as PHP, Javascript, Python, Dot Net, and C+.

Some of the most implemented programming languages are as follows;

PHP

More than 80% of the internet is powered by PHP. Everything ranging from website, applications, to portals are designed in PHP. Since its inception, PHP developers have always been in high demand. Due to the availability of open-source content management systems, frameworks and a good compromise of speed, code quality, and development PHP are chosen as the developer’s tool for years.

Laravel remains one of the most adopted PHP frameworks that is used to develop dynamic web pages.

C++

C++ is an all-purpose object-oriented programming (OOP) language. C and C+ were its predecessors. The main highlight of C++ is a collection of predefined classes, which are data types that can be instantiated multiple times

Dot Net

The advent of Dot Net improved development experience and relieved engineers from security operations, active memory management, and other low-level efforts that C/C++ developers had to bother with.

.NET is a language-independent framework that provides programming guidelines to develop a wide range of applications for web, mobile, and Windows-based applications. The .NET framework can work with several programming languages such as C#, VB.NET, C++, and F#.

Javascript

JavaScript (JS) is a lightweight, interpreted, or just-in-time compiled programming language with first-class functions. While it is most well-known as the scripting language for Web pages, many non-browser environments also use it, such as Node.js, Apache CouchDB and Adobe Acrobat.

AngularJS

AngularJS was developed to tackle the growing needs of developers. It is a structural framework for dynamic web apps and uses HTML as the template language. It is a JavaScript-based open-source framework used for building a front-end web application.

NodeJS

Node JS relies on Javascript and uses an event-driven, non-blocking I/O model that makes it lightweight and efficient. It remains perfect for data-intensive real-time applications running across distributed devices.

ReactJS

React JS is an open-source JavaScript library designed by Facebook. It is used for building user interfaces or front-end framework specifically for single-page applications. It is used for handling the view layer for web and mobile apps.

Most Demanded Programming Language

Here are the Top 7 programming languages with the most job postings on Indeed as of January 2019.

· Java – 65,986 jobs

· Python – 61,818 jobs

· Javascript – 38,018 jobs

· C++ – 36,798 jobs

· C# – 27,521 jobs

· PHP – 16,890 jobs

· PERL – 13, 727 jobs

How can I learn to code?

It is easy to learn coding if you can invest few hours of your day learning the basics of programming, such as language (PHP for dynamic web page, Swift or C for iOS mobile apps, and Java for Android apps), code implementation, toolset, framework, testing, and developing applications or web pages.

Online Courses

Online courses offer you a flexible schedule. You can learn the coding at the comfort of your home. Most online courses offer classes and conduct exams in return for a small fee.

The Odin Project is one of the sites offering an online course on programming for solo practitioners.

Subscription-model certification courses from Udacity or Treehouse offer an opportunity to ask a tutor.

You can get free practical JavaScript course from Watch and Code, which revolves around a single project that you continually iterate.

Watching videos and tutorials, reading e-books, and practicing your own project can help you gain programming knowledge quicker than you can think.

The ability to code comes with greater benefits. You can find a high-paying job at almost any Tech company. With the rising demand for programmers, you are less likely to be returned from job interviews.

The important thing to keep in mind to keep yourself updated. With the changing face of technology comes bigger challenges such as keeping yourself updated, learning the additional language for larger outreach, and collaborating with like-minded personnel’s. The GitHub offers a large resource of knowledge, codes, and an opportunity to collaborate with programmers around the world.

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woodnew315 · 4 years ago

Text

Dev C Or Code Blocks

Please select a setup package depending on your platform:

Dev C Or Code Blocks Free

Dev C++ Or Code Blocks

Code::Blocks supports multiple compilers, including GCC, MinGW, Digital Mars, Microsoft Visual C, Borland C, LLVM Clang, Watcom, LCC and the Intel C compiler. Although the IDE was designed for the C language, there is some support for other languages, including Fortran and D. Code::Blocks is an open-source cross-platform IDE (Integrated Development. Free, open-source text editor Orwell Dev-C. A free, portable, fast and simple C/C IDE Brackets. A modern, lightweight yet powerful text editor About Site Status @sfnetops. You can use our scoring system to give you a general idea which IDE Software product is better for your company. For overall product quality, Code Blocks attained 7.9 points, while Visual Studio IDE gained 9.0 points. Meanwhile, for user satisfaction, Code Blocks scored 100%, while Visual Studio IDE scored 96%. As I am typing in Code::Blocks, I would prefer to type code directly without having the editor insert closing parentheses and brackets. I chose the disable code-completion in Settings Editor Code Completion, but this feature does not disable auto complete features with closing characters.

NOTE: For older OS'es use older releases. There are releases for many OS version and platforms on the Sourceforge.net page.

NOTE: There are also more recent nightly builds available in the forums or (for Ubuntu users) in the Ubuntu PPA repository. Please note that we consider nightly builds to be stable, usually.

NOTE: We have a Changelog for 20.03, that gives you an overview over the enhancements and fixes we have put in the new release.

NOTE: The default builds are 64 bit (starting with release 20.03). We also provide 32bit builds for convenience.

Windows XP / Vista / 7 / 8.x / 10:

FileDateDownload from

codeblocks-20.03-setup.exe

codeblocks-20.03-setup-nonadmin.exe

codeblocks-20.03-nosetup.zip

codeblocks-20.03mingw-setup.exe

codeblocks-20.03mingw-nosetup.zip

codeblocks-20.03-32bit-setup.exe

codeblocks-20.03-32bit-setup-nonadmin.exe

codeblocks-20.03-32bit-nosetup.zip

codeblocks-20.03mingw-32bit-setup.exe

codeblocks-20.03mingw-32bit-nosetup.zip

29 Mar 2020

02 Apr 2020

FossHUB or Sourceforge.net

NOTE: The codeblocks-20.03mingw-setup.exe file includes additionally the GCC/G++/GFortran compiler and GDB debugger from MinGW-W64 project (version 8.1.0, 32/64 bit, SEH).

If unsure, please use codeblocks-20.03mingw-setup.exe!

Linux 32 and 64-bit:

DistroFileDate Download from

codeblocks_20.03_amd64_oldstable.tar.xz

codeblocks_20.03_i386_oldstable.tar.xz

codeblocks_20.03_amd64_stable.tar.xz

codeblocks_20.03_i386_stable.tar.xz

29 Mar 2020

FossHUB or Sourceforge.net

codeblocks-20.03-1.el6.rmps.tar

codeblocks-20.03-1.el7.rmps.tar

29 Mar 2020

FossHUB or Sourceforge.net

For Ubuntu, use this PPA:

29 Mar 2020

Note: Redhat/CentOS probably also needs an installed hunspell-package, if you want to install the contrib-plugins.

Mac OS X:

FileDateDownload from

CodeBlocks-13.12-mac.zip

26 Dec 2013

FossHUB or Sourceforge.net

NOTES:

Dev C Or Code Blocks Free

The provided download contains an Application Bundle (for the i386 architecture) built for Mac OS X 10.6 (and later), bundling most Code::Blocks plugins.

Dev C++ Or Code Blocks

For older release versions please check here.

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tutorials24x7blog · 4 years ago

Text

How to Use Switch Statement and Expressions in Java

A switch statement permits variable to be tested for equality against an inventory of values. Every value is understood as a case, and also the variable being switched on checked for every case.

The java switch expression are often accepted in expression kind as a computer memory unit, short, int primitive information sorts, enums and also the string category. not like if- then and if - then - else statements, the switch statement contains a variety of attainable execution ways.

The traditional method of exploitation Switch Statement supports fallthrough which might introduce bugs just in case the programmer forgets to feature associate degree applicable break statement.

Semantics, there are two main forms of switch statements.

The first form are structured switches as in Pascal, where exactly one branch is taken, and the cases are treated as separate, exclusive blocks, this function as a generalized if then else conditional , here with any number of branches, not just two.

The second form is instructured switches, as in C, where the cases are treated as labels within a single block and the switch function as generalized go to. The distinction is referred to as the treatment of fall through

Fall through

In many languages, only the matching block is executed, and then execution continues at the end of the switch statement. These include the Pascal family as well as PL/I, modern forms of Fortran and BASIC dialects influenced by Pascal , most functional languages and many others.

Compilation

A branch table allows the switch statement java to determine with a small, constant number of instructions which branch to execute without having to go through list of comparison, while a binary search takes only logarithmic number of comparisons, measured in the number of case in the switch statement.

Normally the only method of finding out if this optimization has occurred is by actually looking at the resultant assembly or machine code output that has been generated by the complier.

The syntax of the Switch Case Statement is as mentioned below.

// Switch Statement

switch( Conditional Expression ) {

// Case Statement having value type same as that of the Expression

case option1:

// Case Statements

break;

case option2:

// Case Statements

break;

default:

// Default Statements

}

// OR - More readable with clear separation of case statements

switch( Expression ) {

// Case Statement having value type same as that of the Expression

case option1: {

// Case Statements

break;

}

case option2: {

// Case Statements

break;

}

default: {

// Default Statements

}

1. Duplicate case values are not allowed.

2. The value for a case must be of the same data type as the variable in the switch.

3. The case must be have constant and literal value.

4. There can be one or N number of cases values for a switch expression.

5. When a break statement is reached, the switch terminates, and the flow of control jumps to the next line following the switch statement.

6. Not an every case of switch statement needs to take a break. If no break appears, the flow of control will fall through the subsequent cases until a break is reached.

7. A switch statement has an optional default case, which must appear at the end of the switch. The default case can be used in performing a task when none of the case is true . No break is required in default case.

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