#install tkinter in python windows 10 | Explore Tumblr Posts and Blogs

bananawired · 2 years

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Windows xp minesweeper download

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A string is just a sequence of string enclosed inside single or double quotes. In our case, the print() function prints the argument (i.e "Big Python") it is given to the console. Screenshot Copy Code """ PyPortal MineSweeper Adafruit invests time and resources providing this open source code. perf_counter() measures the time in seconds from some unspecified moment in time, which means that the return value of a single call to the function isn’t useful. Let’s add a bare-bones Python timer to the example with time.perf_counter().Again, this is a performance counter that’s well-suited for timing parts of your code. It is designed to run on server as javascript game in browser or as javagame on desktop. So, here are a few Python Projects for beginners can work on. The goal of the player is to clear a rectangular board containing hidden "mines" or bombs without detonating any of them, with help from clues about the number of neighboring mines in each cell. For example, a cell normally opens when you press and release the left mouse button but "Elmar Technique" is a NF method where you change the mouse to open cells on both pressing and releasing. Today, we are sharing details about Pysa, an open source static analysis tool we’ve built to detect and prevent security and privacy issues in Python code.

WINDOWS XP MINESWEEPER DOWNLOAD SOFTWARE

Minesweeper.js is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either **version 3** of the License, or (at your option) any later version. Typing the operator in the python console and using autocomplete CrtlSpace exposes the parameters (Same as those in the UI). In order to avoid repetition, the coordinates corresponding to a block are repeatedly added to the queue, so it needs to be marked here. Game details: Minesweeper is a one player game, played on a rectangular board. You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long. The board is divided into cells, with mines randomly distributed. You’ll get a coding exercise in Python and Java for each problem, so you can get feedback on your solution right away. The python code logic and running minesweeper are not problems.

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The motivation of these minesweeper projects is to learn the tooling around python projects, how to create CI/CD pipelines for python projects, and distributing python eggs. In this blog post we will work on the classic game of Minesweeper. It is very simple as it was almost a year ago last time when I wrote a long python script. Python code for processing arrays can take many forms. You can already create, start and debug Python scripts and addons from VS Code with it.

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pip install tkinter To hack MineSweeper at the binary level. In this example, Rectangle is the superclass, and Square is the subclass.

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See chapter 14 of the org-mode manual for all of the details. Minesweeper made in Processing.py by ChrisB (Source Code) Python implementation with PyGame by Sayan Goswami (Source Code) Mine Sweeper by Bruce Chen (Source Code) MineSweeper by Po Mauguet (Source Code) Minesweeper! This Is How To Create A Simple MineSweeper Game In Python! Remember the old Minesweeper ? A much shorter example is below, but this example uses some odd parts of Python that I don't bother to explain in this book: grid = for y in range(10)] Use one of these two examples and place the code to create our array ahead of your main program loop. C++ is a general purpose, object-oriented, middle-level programming language and is an extension of C language, which makes it possible to code C++ in a “C style”. by loading them onto cloud hosted citrix xendesktop with add-ons such as Office 365 Enterprise E5 suite for enhanced team productivity. First game is being marked '? Create a tic-tac-toe game using open source code.

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I want to send 4 float numbers from Python code to an Arduino I was trying to send it via serial and I have some problems. It should be noted here, because a block may be extended to other blocks. Assume that we have to comply with the original version and count the mined neighbours of a clear cell now in 8 directions including the north-west, north-east, south-east, and south-west. Building and visualizing Sudoku Game Using Pygame. Python programming language (latest Python 3) is being used in web development, Machine Learning applications, along with all cutting edge technology in Software Industry. _mesh.off( Simply pass the filepath of an OFF file to the operator in your own code.

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kks · 3 years

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How to Install Tkinter in Python - with Example - in Windows 10 - Code Jana

How to Install Tkinter in Python – with Example – in Windows 10 – Code Jana

Hi there, wonderful coders. This article will serve as a transcript for my install tkinter in python video on Code Jana channel. It will also help you copy & paste the code directly to your code editor. If you haven’t yet subscribed to Code Jana, then please do so by following this subscribe now link. Here are the steps to Install Tkinter in Python: Tkinter is already included with Python…

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generatour1 · 4 years

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hunterwire889 · 3 years

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Python Applications

Python is known for its general-purpose nature that makes it applicable in almost every domain of software development. Python makes its presence in every emerging field. It is the fastest-growing programming language and can develop any application.

Camtasia 8 studio download. Here, we are specifying application areas where Python can be applied.

1) Web Applications

` Building Modern Python Applications on AWS will explore how to build an API driven application using Amazon API Gateway for serverless API hosting, AWS Lambda for serverless computing, and Amazon Cognito for serverless authentication. Flask is a Python micro-framework used to create both simple and advanced web applications. Due to its ease-of-use and setup, we'll be using it for our demo application. If you don't have Flask already installed, it's easy to do so with a single command. Elmer - compile and run python code from C, as if it was written in C. PicklingTools is a collection of libraries for exchanging Python Dictionaries between C and Python. Weave - include C code lines in Python program (deprecated in favor of Cython) ackward exposes parts of Python's standard library as idiomatic C. Pygame is a popular Python package for writing games - encouraging students to learn programming while creating something fun. Pygame displays graphics in a new window, and so it will not work under the command-line-only approach of WSL. However, if you installed Python via the Microsoft Store as detailed in this tutorial, it will work fine.

We can use Python to develop web applications. It provides libraries to handle internet protocols such as HTML and XML, JSON, Email processing, request, beautifulSoup, Feedparser, etc. One of Python web-framework named Django is used on Instagram. Python provides many useful frameworks, and these are given below:

Django and Pyramid framework(Use for heavy applications)

Flask and Bottle (Micro-framework)

Plone and Django CMS (Advance Content management)

2) Desktop GUI Applications

The GUI stands for the Graphical User Interface, which provides a smooth interaction to any application. Python provides a Tk GUI library to develop a user interface. Some popular GUI libraries are given below.

Tkinter or Tk

wxWidgetM

Kivy (used for writing multitouch applications )

PyQt or Pyside

3) Console-based Application

Console-based applications run from the command-line or shell. These applications are computer program which are used commands to execute. This kind of application was more popular in the old generation of computers. Python can develop this kind of application very effectively. It is famous for having REPL, which means the Read-Eval-Print Loop that makes it the most suitable language for the command-line applications.

Python provides many free library or module which helps to build the command-line apps. The necessary IO libraries are used to read and write. It helps to parse argument and create console help text out-of-the-box. There are also advance libraries that can develop independent console apps.

4) Software Development

Python is useful for the software development process. It works as a support language and can be used to build control and management, testing, etc.

SCons is used to build control.

Buildbot and Apache Gumps are used for automated continuous compilation and testing.

Round or Trac for bug tracking and project management.

5) Scientific and Numeric

Python Applications In Real World

This is the era of Artificial intelligence where the machine can perform the task the same as the human. Python language is the most suitable language for Artificial intelligence or machine learning. It consists of many scientific and mathematical libraries, which makes easy to solve complex calculations.

Implementing machine learning algorithms require complex mathematical calculation. Python has many libraries for scientific and numeric such as Numpy, Pandas, Scipy, Scikit-learn, etc. If you have some basic knowledge of Python, you need to import libraries on the top of the code. Few popular frameworks of machine libraries are given below.

SciPy

Scikit-learn

NumPy

Pandas

Matplotlib

6) Business Applications

Business Applications differ from standard applications. E-commerce and ERP are an example of a business application. This kind of application requires extensively, scalability and readability, and Python provides all these features.

Oddo is an example of the all-in-one Python-based application which offers a range of business applications. Python provides a Tryton platform which is used to develop the business application.

7) Audio or Video-based Applications

Python Applications Using Pycharm

Python is flexible to perform multiple tasks and can be used to create multimedia applications. Some multimedia applications which are made by using Python are TimPlayer, cplay, Font awesome drupal 8. etc. The few multimedia libraries are given below.

Applications Of Python Programming Language

Gstreamer

Pyglet

QT Phonon

8) 3D CAD Applications

The CAD (Computer-aided design) is used to design engineering related architecture. It is used to develop the 3D representation of a part of a system. Python can create a 3D CAD application by using the following functionalities.

Fandango (Popular )

CAMVOX

HeeksCNC

AnyCAD

RCAM

9) Enterprise Applications

Python can be used to create applications that can be used within an Enterprise or an Organization. Some real-time applications are OpenERP, Tryton, Picalo, etc.

10) Image Processing Application

Python contains many libraries that are used to work with the image. The image can be manipulated according to our requirements. Some libraries of image processing are given below.

OpenCV

Pillow

SimpleITK

In this topic, we have described all types of applications where Python plays an essential role in the development of these applications. In the next tutorial, we will learn more concepts about Python.

Next TopicHow To Install Python

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abubakrjajja · 3 years

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1 note · View note

cybersuccessmarketing · 4 years

Text

Top 10 Reasons to Learn Python in 2020

What Are the Reasons To Learn Python in 2020?

First appeared in 1990, nearly thirty years ago, python is still a popular choice for programming for many organizations and developers. If you are not convinced that learning Python is useful to learn or just need another go at the reasons to learn, read on.

Top 10 Reasons To Learn Python Programming

Python’s simplicity still stands out

Python’s notable syntax with indentation defining a block instead of curly braces, its loose typing coupled with a lot of other features, makes python very simple to write and read code in. These features of simplicity together with elegance make python stand out within the group of other programming languages.

High Extensibility of Python

Python is built with extensibility in mind. That is, Python would have a small core language with a large library of modules coming with an easily extendible interpreter. Python can be easily extended with C/C++/Java and can be embedded in applications.

Python is Portable

Portability is a very important aspect in any high-level language. A Code written in python can run many platforms including Windows and most Unix-like systems. Python’s portability is almost the same as that of C due to its implementation of CPython. However with a java implementation — Jython developed, Python can be executed within the comfort of JVM.

Vast Community of python

A bustling community is a sign of life for a language. The community is a great source of knowledge where millions of developers around the globe help people at any level for their problems. It is also a source of great inspiration where people share their success stories with everyone.

Python is Highly useful for DataScience

Python is one of the most popular choices of programming languages for usage in DataScience applications. Python can be used in all phases of DataScience applications including data scraping, data visualization, and more. Some of the popular libraries and Frameworks of Python that are useful in DataScience include NumPy, SciPy, Matplotlib, Pandas, and more

Python is a great choice for Artificial Intelligence & Machine Learning

Hugely popular libraries like TensorFlow, PyTorch, Scikit-learn each provide powerful tools, making python a great choice for implementation of machine learning where the computer learns for the data without explicitly being programmed. Python is also suitable for Artificial Intelligence as a whole because of the libraries like Keras.

High Usability of Python in Web Development

With libraries and frameworks like Django, Web2Py, Flask, Pyramid, CherryPy, etc, python is highly usable for Web development. These frameworks have a lot of features and help developers in writing stable code faster as they automate standard solutions. By doing this, Python can help you to just focus on the main application logic instead of worrying about in-depth details.

Python has numerous testing frameworks

Testing is an important and indispensable phase in every software project. Python has many inbuilt testing frameworks that greatly help in debugging the code. With Frameworks like PyTest and Robot, python can support cross-platform as well as cross-browser testing. One can also use Selenium and Splinter with Python.

Python is useful for building GUI

Tkinter is the standard Python GUI Library which helps developers to build graphical user interface applications. It is included with the Mac OS X, Linux and Windows installations of Python. GUI toolkits like PyQt, wxPython, Kivy are also great.

Python developers are high in demand with great pay

With the reasons above and many others, Python’s popularity will be high and opportunities are plenty. Many leading companies employ people skillful in python with a high degree of pay. Python will enjoy this popularity for many years to come and this forms the crux of the reasons to learn python language.

Learn Python Programming with ease and get 100% job assistance

Our Software training institute provides python training in Pune which trains you with all the theoretical and practical aspects of the language. You can learn python programming from any level, you may be a beginner and start from absolute basics or maybe at the intermediate level and start on from required modules.

#DataScience applications #python training in Pune

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shopifythemer · 5 years

Video

youtube

In this video, I demonstrate the process of downloading, installing, and verifying Python 3.7, pip, and tkinter on Microsoft Windows 10 Please like and share this video https://youtu.be/GwCZ2KElNdw by TubeMint

#wordpress #shopify #code #ruby #python

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meghasonakiya23 · 4 years

Link

In this video, you'll learn how to install Tkinter in Python. I've also included an example to test whether our installation of Tkinter was successful or not.

#How to Install Tkinter in Python - with Example - in Windows 10

0 notes

loadtotal270 · 3 years

Text

Django Download Mac

Django Download File From Server

Django Download Multiple Files

Django Download Zip File

Download Django For Windows 10

Python comes pre installed in Mac as it is a UNIX based system. So, you will not need to install it. However to install Django, below are the steps to be executed from the terminal. Check the “Add Python 3.8 to PATH” box before installing. Once Python is installed, restart Windows.

Python for Mac OS X

Python comes pre-installed on Mac OS X so it is easy to startusing. However, to take advantage of the latest versions ofPython, you will need to download and install newer versionsalongside the system ones. The easiest way to do that is toinstall one of the binary installers for OS X from thePython Download page. Installers areavailable for the latest Python 3 and Python 2 releases thatwill work on all Macs that run Mac OS X 10.5 and later.

Python releases include IDLE, Python's built-in interactivedevelopment environment. If you download and install Pythonfrom the release page, you may also need to download and installa newer version of Tcl/Tk for OS X. See theIDLE and Tkinter on OS X page formore information.

You can run a Python interpreter by double-clicking onApplications / Utilities / Terminal and typing python3 (if you'veinstalled a version of Python 3) or python (to use Python 2) inthe window that opens up. You can also launch IDLE for the Pythonversion you have installed by double-clicking its icon inthe appropriate Python version folder in the Applications folderor you can also just type idle3 or idle in a terminal window.

There are many thousands of additional Python software packagesavailable through PyPI, the PythonPackage Index. We recommend you use thepip tool to simplifyinstalling and managing additional packages. pip is includedwith Python 3.4 releases; for earlier releases, follow the pipinstall instructions.

Among the packages available through PyPI are some that arespecifically for OS X environments. Among these are:

pyobjc which providesa bridge between Python and Objective-C, allowing you to writefull-featured native Cocoa applications in pure Python.

py2app which allowsyou to make standalone OS X double-clickable application bundlesand plugins from Python scripts.

For more information about Python on OS X, see the mailing list and archivesfor thePython-Macintosh Special Interest Group.

Alternative Packages for Mac OS X.

ActiveState ActivePython(commercial and community versions, including scientific computing modules).

Enthought Python DistributionThe Enthought Python Distribution provides scientists with a comprehensive setof tools to perform rigorous data analysis and visualization.

Python and a comprehensive set of third-party packages and libraries are alsoavailable from several open source package manager projects for OS X,including:

This chapter covers how to properly configure your computer to work on Django projects. We start with an overview of the command line and how to install the latest version of Django and Python. Then we discuss virtual environments, git, and working with a text editor. By the end of this chapter you’ll be ready to create and modify new Django projects in just a few keystrokes.

The Command Line

The command line is a powerful, text-only view of your computer. As developers we will use it extensively throughout this book to install and configure each Django project.

On a Mac, the command line is found in a program called Terminal. To find it, open a new Finder window, open the Applications directory, scroll down to open the Utilities directory, and double-click the application called Terminal.

On Windows machines there are actually two built-in command shells: the Command shell and PowerShell. You should use PowerShell, which is the more powerful of the two.

Going forward when the book refers to the “command line” it means to open a new console on your computer, using either Terminal or PowerShell.

While there are many possible commands we can use, in practice there are six used most frequently in Django development:

cd (change down a directory)

cd . (change up a directory)

ls (list files in your current directory on Mac)

dir (list files in your current directory on Windows)

pwd (print working directory)

mkdir (make directory)

touch (create a new file on Mac)

Open your command line and try them out. The dollar sign ($) is our command line prompt: all commands in this book are intended to be typed after the $ prompt.

For example, assuming you’re on a Mac, let’s change into our Desktop directory.

Note that our current location, ~/Desktop, is automatically added before our command line prompt. To confirm we’re in the proper location we can use pwd which will print out the path of our current directory.

On my Mac computer this shows that I’m using the user wsv and on the desktop for that account.

Now let’s create a new directory with mkdir, cd into it, and add a new file index.html with the touch command. Note that Windows machines unfortunately do not support a native touch command. In future chapters when instructed to create a new file, do so within your text editor of choice.

Now use ls to list all current files in our directory. You’ll see there’s just the newly created index.html.

As a final step, return to the Desktop directory with cd . and use pwd to confirm the location.

Advanced developers can use their keyboard and command line to navigate through their computer with ease. With practice this approach is much faster than using a mouse.

In this book I’ll give you the exact instructions to run–you don’t need to be an expert on the command line–but over time it’s a good skill for any professional software developer to develop. A good free resource for further study is the Command Line Crash Course.

Install Python 3

It takes some configuration to properly install Python 3 on a Mac, Windows, Linux, or Chromebook computer and there are multiple approaches. Many developers–especially beginners–follow the advice on the official Python website to download distinct versions of Python directly onto their computer and then adjust the PATH variable accordingly.

The problem with this approach is that updating the PATH variable correctly is tricky, by downloading Python directly updates are harder to maintain, and there are now much easier ways to install and start using Python quickly.

I host a dedicated website, InstallPython3.com, with up-to-date guides for installing Python 3 on Mac, Windows, or Linux computers. Please refer there to install Python correctly on your local machine.

Virtual Environments

Virtual environments are an indispensable part of Python programming. They are an isolated container containing all the software dependencies for a given project. This is important because by default software like Python and Django is installed in the same directory. This causes a problem when you want to work on multiple projects on the same computer. What if ProjectA uses Django 3.1 but ProjectB from last year is still on Django 2.2? Without virtual environments this becomes very difficult; with virtual environments it’s no problem at all.

There are many areas of software development that are hotly debated, but using virtual environments for Python development is not one. You should use a dedicated virtual environment for each new Python project.

In this book we will use Pipenv to manage virtual environments. Pipenv is similar to npm and yarn from the JavaScript/Node ecosystem: it creates a Pipfile containing software dependencies and a Pipfile.lock for ensuring deterministic builds. “Determinism” means that each and every time you download the software in a new virtual environment, you will have exactly the same configuration.

Sebastian McKenzie, the creator of Yarn which first introduced this concept to JavaScript packaging, has a concise blog post explaining what determinism is and why it matters. The end result is that we will create a new virtual environment with Pipenv for each new Django Project.

To install Pipenv we can use pip3 which Homebrew automatically installed for us alongside Python 3.

Install Django

To see Pipenv in action, let’s create a new directory and install Django. First navigate to the Desktop, create a new directory django, and enter it with cd.

Now use Pipenv to install Django. Note the use of ~= which will ensure security updates for Django, such as 3.1.1, 3.1.2, and so on.

If you look within our directory there are now two new files: Pipfile and Pipfile.lock. We have the information we need for a new virtual environment but we have not activated it yet. Let’s do that with pipenv shell.

If you are on a Mac you should now see parentheses around the name of your current directory on your command line which indicates the virtual environment is activated. Since we’re in a django directory that means we should see (django) at the beginning of the command line prompt. Windows users will not see the shell prompt. If you can run django-admin startproject in the next section then you know your virtual environment has Django installed properly.

This means it’s working! Create a new Django project called config with the following command. Don’t forget that period . at the end.

It’s worth pausing here to explain why you should add a period (.) to the command. If you just run django-admin startproject config then by default Django will create this directory structure:

See how it creates a new directory config and then within it a manage.py file and a config directory? That feels redundant to me since we already created and navigated into a django directory on our Desktop. By running django-admin startproject config . with the period at the end–which says, install in the current directory–the result is instead this:

The takeaway is that it doesn’t really matter if you include the period or not at the end of the command, but I prefer to include the period and so that’s how we’ll do it in this book.

As you progress in your journey learning Django, you’ll start to bump up more and more into similar situations where there are different opinions within the Django community on the correct best practice. Django is eminently customizable, which is a great strength, however the tradeoff is that this flexibility comes at the cost of seeming complexity. Generally speaking it’s a good idea to research any such issues that arise, make a decision, and then stick with it!

Now let’s confirm everything is working by running Django’s local web server.

Don’t worry about the text in red about “18 unapplied migrations.” We’ll get to that shortly but the important part, for now, is to visit http://127.0.0.1:8000/ and make sure the following image is visible:

Django Download File From Server

To stop our local server type Control+c. Then exit our virtual environment using the command exit.

We can always reactivate the virtual environment again using pipenv shell at any time.

We’ll get lots of practice with virtual environments in this book so don’t worry if it’s a little confusing right now. The basic pattern is to install new packages with pipenv, activate them with pipenv shell, and then exit when done.

It’s worth noting that only one virtual environment can be active in a command line tab at a time. In future chapters we will be creating a brand new virtual environment for each new project so either make sure to exit your current environment or open up a new tab for new projects.

Install Git

Git is an indispensable part of modern software development. It is a version control system which can be thought of as an extremely powerful version of track changes in Microsoft Word or Google Docs. With git, you can collaborate with other developers, track all your work via commits, and revert to any previous version of your code even if you accidentally delete something important!

On a Mac, because HomeBrew is already installed we can simply type brew install git on the command line:

Avira free download mac. On Windows you should download Git from Git for Windows. Click the “Download” button and follow the prompts for installation.

Once installed, we need to do a one-time system set up to configure it by declaring the name and email address you want associated with all your Git commits. Within the command line console type the following two lines. Make sure to update them your name and email address.

You can always change these configs later if you desire by retyping the same commands with a new name or email address.

Text Editors

The final step is our text editor. While the command line is where we execute commands for our programs, a text editor is where the actual code is written. The computer doesn’t care what text editor you use–the end result is just code–but a good text editor can provide helpful hints and catch typos for you.

Experienced developers often prefer using either Vim or Emacs, both decades-old, text-only editors with loyal followings. However each has a steep learning curve and requires memorizing many different keystroke combinations. I don’t recommend them for newcomers.

Modern text editors combine the same powerful features with an appealing visual interface. My current favorite is Visual Studio Code which is free, easy to install, and enjoys widespread popularity. If you’re not already using a text editor, download and install Visual Studio Code now.

Django Download Multiple Files

Conclusion

Django Download Zip File

Phew! Nobody really likes configuring a local development environment but fortunately it’s a one-time pain. We have now learned how to work with virtual environments and installed the latest version of Python and git. Everything is ready for our first Django app.

Download Django For Windows 10

Continue on to Chapter 2: Hello World app.

0 notes

kks · 4 years

Link

In this video, you'll learn how to install Tkinter in Python. I've also included an example to test whether our installation of Tkinter was successful or not.

#how to install tkinter in python

0 notes

rafi1228 · 4 years

Link

This Python For Beginners Course Teaches You The Python Language Fast. Includes Python Online Training With Python 3

What you’ll learn

Have a fundamental understanding of the Python programming language.

Have the skills and understanding of Python to confidently apply for Python programming jobs.

Acquire the pre-requisite Python skills to move into specific branches – Machine Learning, Data Science, etc..

Add the Python Object-Oriented Programming (OOP) skills to your résumé.

Understand how to create your own Python programs.

Learn Python from experienced professional software developers.

Understand both Python 2 and Python 3.

Requirements

You’ve either already got it or it’s FREE. Here’s the checklist:

A computer – Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.

Your enthusiasm to learn this go-to programming language. It’s a valuable lifetime skill which you can’t un-learn!

Everything else needed to start programming in Python is already included in the course.

Description

Whether you want to:

– build the skills you need to get your first Python programming job

– move to a more senior software developer position

– get started with Machine Learning, Data Science, Django or other hot areas that Python specialises in

– or just learn Python to be able to create your own Python apps quickly.

…then you need a solid foundation in Python programming. And this course is designed to give you those core skills, fast.

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search.

And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course.

By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.

Here’s what a few students have told us about the course after going through it.

“I had very limited programming experience before I started this course, so I have really learned a lot from the first few sections. It has taken me from essentially zero programming skill to a level where I’m comfortable using Python to analyze data for my lab reports, and I’m not even halfway done the course yet. There are other courses out there which focus on data analysis, but those courses are usually targeted at people who already know how to program which is why I chose this course instead. “ – Christian DiMaria

“I have been puttering through your Python course . In that time, though, and without finishing it yet I’ve been able to automate quite a bit at my work. I work in a school system and unifying data from our various student information systems can be incredibly frustrating, time consuming, and at times challenging. Using your course, I’ve learned enough to write applications that turn massive text files into dictionaries that get “stitched” together like a database and output to properly formatted CSV files and then uploaded via SFTP to various systems for secure processing. Our teachers, students, and the tech department have greatly benefitted from this automation. I just wanted to drop you a note thanking you for helping me learn this skill.” – Keith Medlin

“This course was great. Within 3 weeks I was able to write my own database related applications.” – Theo Coenen

And there are many more students who love the course – check out all the reviews for yourself.

Will this course give you core python skills?

Yes it will. There are a range of exciting opportunities for Python developers. All of them require a solid understanding of Python, and that’s what you will learn in this course.

Will the course teach me data science, machine learning and artificial intelligence?

No, it won’t do that – All of these topics are branches of Python programming. And all of them require a solid understanding of the Python language.

Nearly all courses on these topics assume that you understand Python, and without it you will quickly become lost and confused.

This course will give you that core, solid understanding of the Python programming language.

By the end of the course you will be ready to apply for Python programming positions as well as move on to specific areas of Python, as listed above.

Why should you take this course?

There are a lot of Python courses on Udemy – Your instructors, Tim and Jean-Paul are pretty unique in that between them they have around 70 years of professional programming experience. That’s more than a lifetime of skills you get to learn Python from.

You can enrol in the course safe in the knowledge that they are not just teachers, but professional programmers with real commercial programming experience, having worked with big companies like IBM, Mitsubishi, Fujitsu and Saab in the past.

As such you will not only be learning Python, but you will be learning industry best practices for Python programming that real employers demand.

And if that’s not enough take a read of some of the many reviews from happy students – there are around 100,000 students who have left around 19,000 reviews.

This is one of the most popular courses on Python programming on Udemy.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

· All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why – making programming easy to grasp and less frustrating

· You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

· Complete chapters on object-oriented programming and many other aspects of Python, including tKInter (for building GUI Interfaces) and using databases with Python.

· Although this is primarily a Python 3 course, a python developer will need to work with Python 2 projects from time to time – We’ll show the difference in both versions to make sure you understand how things work differently in each version.

· How to develop powerful Python applications using one of the most powerful Integrated Development Environments on the market, IntelliJ IDEA! – Meaning you can code functional programs easier. IntelliJ has both a FREE and PAID version, and you can use either in this course. PyCharm will also work just fine.

(Don’t worry if you want to use another IDE. You’re free to use any IDE and still get the most out of this course).

Does the course get updated?

It’s no secret how technology is advancing at a rapid rate. New, more powerful hardware and software are being released every day, meaning it’s crucial to stay on top with the latest knowledge.

A lot of other courses on Udemy get released once, and never get updated. Learning from an outdated course and/or an outdated version of Python can be counter productive and even worse it could teach you the wrong way to do things.

For example if you apply some parts of Python 2 to Python 3 code, you will get completely different results.

We cover differences like this in the course and also continually update the course as well.

What if you have questions?

As if this course wasn’t complete enough, we offer full support, answering any questions you have 7 days a week (whereas many instructors answer just once per week, or not at all).

This means you’ll never find yourself stuck on one lesson for days on end. With our hand-holding guidance, you’ll progress smoothly through this course without any major roadblocks.

That’s just one reason why Tim was voted top 10 in the Udemy instructor awards (out of a whopping 18,000 instructors), and quickly became a top-rated, bestselling instructor on the Udemy site.

Student Quote: “Tim and JP are excellent teachers and are constantly answering questions and surveying students on new topics they will like to learn. This isn’t a Python course it’s THE Python course you need.” – Sean Burger

There’s no risk either!

This course comes with a full 30 day money-back guarantee. Meaning if you are not completely satisfied with the course or your progress, simply let Tim or J-P know and they will refund you 100%, every last penny no questions asked.

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Enrol now using the “Add to Cart” button on the right, and get started on your way to creative, advanced Python brilliance. Or, take this course for a free spin using the preview feature, so you know you’re 100% certain this course is for you.

See you on the inside (hurry, your Python class is waiting!)

Who this course is for:

Beginners with no previous programming experience looking to obtain the skills to get their first programming job.

Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, and artificial intelligence.

Existing programmers who want to improve their career options by learning the Python programming language.

If you are an expert Python programmer with extensive knowledge, and many years’ experience, then this course is probably not for you.

Created by Tim Buchalka, Jean-Paul Roberts, Tim Buchalka’s Learn Programming Academy Last updated 12/2018 English English

Size: 5.66 GB

Download Now

https://ift.tt/1VqDv5m.

The post Learn Python Programming Masterclass appeared first on Free Course Lab.

#IFTTT #Blogger

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prohamid · 4 years

Text

Python: Simple Password Generator

Python: Simple Password Generator ******************************************************* FOR MORE INFO visit our Partners Page : download link : https://mega4up.com/gjdaplvdvtpy ******************************************************* In this tutorial we will create A Simple Password Generator Using Python. Python has a design philosophy which emphasizes code readability. Python is very easy to learn the syntax emphasizes readability and it can reduces time consuming in developing. You can use this application for getting your random password to a certain account So let's now do the coding.

Getting started First you will have to download & install the Python IDLE's, here's the link for the Integrated Development And Learning Environment for Python https://www.python.org/downloads/.

Importing Modules After setting up the installation and the database, run the IDLE and click file and then new file. After that a new window will appear containing a black file this will be the text editor for the python.

Then copy code that I provided below and paste it inside the IDLE text editor

from tkinter import * import random Setting up the Main Frame After importing the modules, we will now then create the main frame for the application. To do that just copy the code below and paste it inside the IDLE text editor.

root = Tk() root.title("Sourcecodester") width = 400 height = 200 screen_width = root.winfo_screenwidth() screen_height = root.winfo_screenheight() x = (screen_width/2) - (width/2) y = (screen_height/2) - (height/2) root.geometry("%dx%d+%d+%d" % (width, height, x, y)) Designing the Layout After creating the Main Frame we will now add some layout to the application. Just kindly copy the code below and paste it inside the IDLE text editor.

#====================================VARIABLES================================== PASSWORD = StringVar()

#====================================FRAME====================================== Top = Frame(root, width=width) Top.pack(side=TOP) Form = Frame(root, width=width) Form.pack(side=TOP)

#====================================LABEL WIDGET=============================== lbl_title = Label(Top, width=width, font=('arial', 16), text="Python:Password Generator", bd=1, relief=SOLID) lbl_title.pack(fill=X) lbl_password = Label(Form, font=('arial', 18), text="Password", bd=10) lbl_password.grid(row=0, pady=15)

#====================================ENTRY WIDGET=============================== password = Entry(Form, textvariable=PASSWORD, font=(18), width=16) password.grid(row=0, column=1)

#====================================BUTTON WIDGET============================== btn_generate = Button(Form, text="Generate", width=20, command=Random) btn_generate.grid(row=1, columnspan=2) Creating the Main Function This is the main function where the Entry generate a random character when button is cliked. To do that just simply copy the code below then paste it inside the IDLE text editor

#=====================================METHODS=================================== def Random(): alphabet = "abcdefghijklmnopqrstuvwxyz" length = 8 new_password = ""

for i in range(length): next_index = random.randrange(len(alphabet)) new_password = new_password + alphabet[next_index]

for i in range(random.randrange(1,3)): replace_index = random.randrange(len(new_password)//2) new_password = new_password[0:replace_index] + str(random.randrange(10)) + new_password[replace_index+1:]

for i in range(random.randrange(1,3)): replace_index = random.randrange(len(new_password)//2,len(new_password)) new_password = new_password[0:replace_index] + new_password[replace_index].upper() + new_password[replace_index+1:]

PASSWORD.set(new_password); There you have it we created a Simple Password Generator Using Python. I hope that this simple tutorial help you for what you are looking for. For more updates and tutorials just kindly visit this site. Enjoy Coding!! ****************************************************** tags: password generator,password,random password generator,generator,random password generator (literature subject),password generator app,python password generator,password generator python,password manager,generate password,js password generator,c# password generator,easy password generator,password generaator,custom password generator,online password generator,secure password generator,password generator online

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rafi1228 · 5 years