#python data type string

[codeonedigest]

YouTube Short - Quick Cheat Sheet to Python Data types for Beginners | Learn Python Datatypes in 1 minute

Hi, a short #video on #python #datatype is published on #codeonedigest #youtube channel. Learn the python #datatypes in 1 minute. #pythondatatypes #pythondatatypes #pythondatatypestring #pythondatatypedeclaration #pythondatatypeprogram

What is Data type? Python Data Types are used to define the type of a variable. Datatype defines what type of data we are going to store in a variable. The data stored in memory can be of many types. For example, a person’s age is stored as a numeric value and his address is stored as alphanumeric characters. Python has various built-in data types. 1. Numeric data types store numeric…

[proeduorganization]

Data Types in Python

Introduction Hi All. In this post, I will tell you about the data types supported in python. Python provides several built-in data types that are commonly used. Here’s an overview of some of the main data types: Numeric Types: Python provides three types of numeric types: Integer (int): Integers are whole numbers without a decimal point. They can be positive, negative, or zero. Example: 5,…

[helloworldletscode]

Programs use different data types in their work.

Python has two main data type groups:

1) Premitive data type:

Examples: String, Integer, Float, Boolean

2) Non-premitive data type:

Examples: List, Tuple, Array, File, Set

Let's start with strings 💕

Text data is called a string. Example:

"Wassup?"

But although string is usually presented as a text, it's better to consider it as a "string of characters". Examples of what is a character and how it can be presented as a string in python:

"Hi!", "19", "Hello", "A", "🐈".

Although examples above were not only letters, but also a number and an emoji, putting them inside the quotation marks makes python see and use those as strings.

" " is also a string, containing a space 🫡

In Python, you can use single ' or double " quotation marks to define a string. But! You need to stick to one format per string. If quotes aren't matching, you are in trouble :)

Examples:

✅️ "HELLO"

✅️ 'HELLO'

❌️ "Hellllllooooooo'

[trendingnow3-blog]

Day-2: Mastering Python Data Types and String Manipulation: A Comprehensive Guide for Beginners

Day-2: Python Boot Camp 2023

1. Introduction to Python Data Types Data types are an essential concept in programming languages, including Python. They define the type of data a variable can hold, which influences the operations that can be performed on it. Python is a dynamically-typed language, meaning variables can change data types during execution. Understanding data types is crucial as it helps in efficient memory…

[mr-abhishek-kumar]

Lists in python

Lists in Python are a type of sequence data type. They are mutable, meaning that they can be changed after they are created. Lists can store elements of any type, including strings, integers, floats, and even other lists.

Lists are represented by square brackets ([]) and contain elements separated by commas. For example, the following code creates a list of strings:

Python

my_list = ["apple", "banana", "cherry"]

Lists can be accessed using indices, which start at 0. For example, the following code prints the first element of the list my_list:

Python

print(my_list[0])

Output:

apple

Lists can also be sliced, which allows you to extract a subset of the list. For example, the following code prints a slice of the list my_list that contains the first two elements:

Python

print(my_list[0:2])

Output:

['apple', 'banana']

Lists can be modified by adding, removing, or changing elements. For example, the following code adds an element to the end of the list my_list:

Python

my_list.append("orange")

The following code removes the first element of the list my_list:

Python

my_list.pop(0)

The following code changes the second element of the list my_list:

Python

my_list[1] = "pear"

Lists can be used to perform a variety of tasks, such as storing data, iterating over data, and performing data analysis.

Here are some examples of how to use lists in Python:

Python

# Create a list of numbers numbers = [1, 2, 3, 4, 5] # Print the list print(numbers) # Add an element to the list numbers.append(6) # Remove an element from the list numbers.pop(0) # Sort the list numbers.sort() # Reverse the list numbers.reverse() # Iterate over the list for number in numbers:   print(numbers)

Output:

[1, 2, 3, 4, 5] [2, 3, 4, 5, 6] [3, 4, 5, 6] [6, 5, 4, 3] 3 4 5 6

Lists are a powerful tool for working with collections of data in Python. They can be used to perform a variety of tasks, such as storing data, iterating over data, and performing data analysis.

[izicodes]

Dynamically vs Statically-Typed Programming Languages

Hiya!🌍💻 I know I haven't done one of these posts in a while but now I came up with a new topic to talk about!

Today, we're going to dive into the world of programming languages and explore the differences between dynamically-typed and statically-typed ones. I actually got the idea from explaining the whole difference between languages such as C# and Java to Lua and Python! Also just wanted to talk about how various languages handle data types~! So, buckle up, and let's get started~! 🚀

The Main Difference

It all lies in how they handle data types:

In a dynamically-typed language, the type of a variable is determined at runtime, which means you don't have to specify the type explicitly when declaring a variable.

In a statically-typed language, the type of a variable is determined at compile-time, and you must declare the type explicitly when defining a variable.

Example Code

Not getting the picture of what I'm talking about? No worries, let's take a look at some code examples to illustrate the difference. I'll use my beloved Lua (a dynamically-typed language) and C# (a statically-typed language)~!

Lua

C#

In the Lua example, we can see that we don't need to specify the data type of the variable x. We can even change its type later in the code and it would still work!

In the C# example, we must specify the data type of x when declaring it, and attempting to change its type later will result in a compile-time error. Remember though, you can convert an int to string in C# via 'Convert.ToString()'!

Recap!

In dynamically-typed language, the type of a variable is determined at runtime.

Lua, Python, and JavaScript are programming languages that are dynamically typed.

In a statically-typed language, the type of a variable is determined at compile-time.

C#, Java, and Go are programming languages that are statically typed.

Obviously, there is more to know about each type as dynamically-typed and statically-typed languages each have their advantages and disadvantages - but I wanted to focus more on the data type declaration part~!

Here are some further reading pages:

Dynamic Typing vs Static Typing - LINK

Advantages and Disadvantages of Dynamic and Static Typing - LINK

That's all, thanks for reading, and hope you learned something new! Happy coding, folks~! 🌟💻🚀

[mr-jython]

Introduction to Python

Python is a widely used general-purpose, high level programming language. It was initially designed by Guido van Rossum in 1991 and developed by Python Software Foundation. It was mainly developed for emphasis on code readability, and its syntax (set of rules that govern the structure of a code) allows programmers to express concepts in fewer lines of code.

Python is a programming language that lets you work quickly and integrate systems more efficiently.

data types: Int(integer), float(decimal), Boolean(True or False), string, and list; variables, expressions, statements, precedence of operators, comments; modules, functions-- - function and its use, flow of execution, parameters and arguments.

Programming in python

To start programming in Python, you will need an interpreter. An interpreter is basically a software that reads, translates and executes the code line by line instead of combining the entire code into machine code as a compiler does.

Popular interpreters in python

Cpython

Jython

PyPy

IronPython

MicroPython

IDEs

Many other programmers also use IDEs(Integrated Development Environment) which are softwares that provide an extensive set of tools and features to support software development.

Examples of IDEs

Pycharm

Visual studio code (VS code)

Eclipse

Xcode

Android studio

Net beans

[mvishnukumar]

How much Python should one learn before beginning machine learning?

Before diving into machine learning, a solid understanding of Python is essential. :

Basic Python Knowledge:

Syntax and Data Types: 

Understand Python syntax, basic data types (strings, integers, floats), and operations.

Control Structures: 

Learn how to use conditionals (if statements), loops (for and while), and list comprehensions.

Data Handling Libraries:

Pandas: 

Familiarize yourself with Pandas for data manipulation and analysis. Learn how to handle DataFrames, series, and perform data cleaning and transformations.

NumPy: 

Understand NumPy for numerical operations, working with arrays, and performing mathematical computations.

Data Visualization:

Matplotlib and Seaborn: 

Learn basic plotting with Matplotlib and Seaborn for visualizing data and understanding trends and distributions.

Basic Programming Concepts:

Functions: 

Know how to define and use functions to create reusable code.

File Handling: 

Learn how to read from and write to files, which is important for handling datasets.

Basic Statistics:

Descriptive Statistics: 

Understand mean, median, mode, standard deviation, and other basic statistical concepts.

Probability: 

Basic knowledge of probability is useful for understanding concepts like distributions and statistical tests.

Libraries for Machine Learning:

Scikit-learn: 

Get familiar with Scikit-learn for basic machine learning tasks like classification, regression, and clustering. Understand how to use it for training models, evaluating performance, and making predictions.

Hands-on Practice:

Projects: 

Work on small projects or Kaggle competitions to apply your Python skills in practical scenarios. This helps in understanding how to preprocess data, train models, and interpret results.

In summary, a good grasp of Python basics, data handling, and basic statistics will prepare you well for starting with machine learning. Hands-on practice with machine learning libraries and projects will further solidify your skills.

To learn more drop the message…!

[tia003]

What is a Python variable?

A Python variable is a symbolic name that references or points to a value stored in memory. Variables are used to store data that can be manipulated and referenced throughout a program. In Python, you don't need to declare the type of variable explicitly; instead, you simply assign a value to it using the equals (=) sign. For example, x = 10 creates a variable x that holds the value 10. Variables can store various data types, such as integers, strings, or lists.

[reversedumbrella]

your colour seperating program, I made something basically identical a few years ago in Python, would love to hear an in depth everything about it, especially how you made the spinning gif

Sorry for the delay I've been kinda busy. I also had various reasons I didn't want to share my code, but I've thought about a better/different way so here it goes (but for the time being I'm as far away from my computer as I possibly could)

I used processing, which is, as far as I remember, based on java but focused on visual media

Starting with the gif part, processing has the save() and saveFrame() methods that save the image displayed, and it also has the "movie maker" that allows you to make GIFs (and others but I don't remember)

I don't know about other languages but processing runs setup() when it starts and draw() every frame

In setup() I load an image as a PImage (processing's image data type like an array or string) and access it's pixel list. Using that I fill a 256x256x256 int array where every color corresponds to a place in the array. This 3d int array is filled with the amount of times each color appears

Lastly I use a log function to convert those numbers into the dot size

During draw() I run through this array and use the point() method to draw every dot (I can define a dot's color using stroke() and it's size using stroke weight() )

There are some optimisations I don't have the patience to explain at the moment

Processing has various render modes. I've made 3d images using the 2d render but I didn't want to repeat the feat (pov: you make 3d in 2d and then your teacher explains the existence of 3d to you). It also has the translate() that moves the origin and rotate(), rotateX() rotateY() and rotateZ() that allows you to rotate the image

I don't know how much you know about processing so sorry if you don't understand or if I'm explaining things you already know

[tsreviews]

AvatoAI Review: Unleashing the Power of AI in One Dashboard

Here's what Avato Ai can do for you

Data Analysis:

Analyze CV, Excel, or JSON files using Python and libraries like pandas or matplotlib.

Clean data, calculate statistical information and visualize data through charts or plots.

Document Processing:

Extract and manipulate text from text files or PDFs.

​Perform tasks such as searching for specific strings, replacing content, and converting text to different formats.

Image Processing:

Upload image files for manipulation using libraries like OpenCV.

​Perform operations like converting images to grayscale, resizing, and detecting shapes or

Machine Learning:

Utilize Python's machine learning libraries for predictions, clustering, natural language processing, and image recognition by uploading

Versatile & Broad Use Cases:

An incredibly diverse range of applications. From creating inspirational art to modeling scientific scenarios, to designing novel game elements, and more.

User-Friendly API Interface:

Access and control the power of this advanced Al technology through a user-friendly API.

​Even if you're not a machine learning expert, using the API is easy and quick.

Customizable Outputs:

Lets you create custom visual content by inputting a simple text prompt.

​The Al will generate an image based on your provided description, enhancing the creativity and efficiency of your work.

Stable Diffusion API:

Enrich Your Image Generation to Unprecedented Heights.

Stable diffusion API provides a fine balance of quality and speed for the diffusion process, ensuring faster and more reliable results.

Multi-Lingual Support:

Generate captivating visuals based on prompts in multiple languages.

Set the panorama parameter to 'yes' and watch as our API stitches together images to create breathtaking wide-angle views.

Variation for Creative Freedom:

Embrace creative diversity with the Variation parameter. Introduce controlled randomness to your generated images, allowing for a spectrum of unique outputs.

Efficient Image Analysis:

Save time and resources with automated image analysis. The feature allows the Al to sift through bulk volumes of images and sort out vital details or tags that are valuable to your context.

Advance Recognition:

The Vision API integration recognizes prominent elements in images - objects, faces, text, and even emotions or actions.

Interactive "Image within Chat' Feature:

Say goodbye to going back and forth between screens and focus only on productive tasks.

​Here's what you can do with it:

Visualize Data:

Create colorful, informative, and accessible graphs and charts from your data right within the chat.

​Interpret complex data with visual aids, making data analysis a breeze!

Manipulate Images:

Want to demonstrate the raw power of image manipulation? Upload an image, and watch as our Al performs transformations, like resizing, filtering, rotating, and much more, live in the chat.

Generate Visual Content:

Creating and viewing visual content has never been easier. Generate images, simple or complex, right within your conversation

Preview Data Transformation:

If you're working with image data, you can demonstrate live how certain transformations or operations will change your images.

This can be particularly useful for fields like data augmentation in machine learning or image editing in digital graphics.

Effortless Communication:

Say goodbye to static text as our innovative technology crafts natural-sounding voices. Choose from a variety of male and female voice types to tailor the auditory experience, adding a dynamic layer to your content and making communication more effortless and enjoyable.

Enhanced Accessibility:

Break barriers and reach a wider audience. Our Text-to-Speech feature enhances accessibility by converting written content into audio, ensuring inclusivity and understanding for all users.

Customization Options:

Tailor the audio output to suit your brand or project needs.

​From tone and pitch to language preferences, our Text-to-Speech feature offers customizable options for the truest personalized experience.

>>>Get More Info<<<

[this-week-in-rust]

This Week in Rust 533

Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @ThisWeekInRust on Twitter or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

Updates from Rust Community

Official

crates.io: API status code changes

Foundation

Google Contributes $1M to Rust Foundation to Support C++/Rust "Interop Initiative"

Project/Tooling Updates

Announcing the Tauri v2 Beta Release

Polars — Why we have rewritten the string data type

rust-analyzer changelog #219

Ratatui 0.26.0 - a Rust library for cooking up terminal user interfaces

Observations/Thoughts

Will it block?

Embedded Rust in Production ..?

Let futures be futures

Compiling Rust is testing

Rust web frameworks have subpar error reporting

[video] Proving Performance - FOSDEM 2024 - Rust Dev Room

[video] Stefan Baumgartner - Trials, Traits, and Tribulations

[video] Rainer Stropek - Memory Management in Rust

[video] Shachar Langbeheim - Async & FFI - not exactly a love story

[video] Massimiliano Mantione - Object Oriented Programming, and Rust

[audio] Unlocking Rust's power through mentorship and knowledge spreading, with Tim McNamara

[audio] Asciinema with Marcin Kulik

Non-Affine Types, ManuallyDrop and Invariant Lifetimes in Rust - Part One

Nine Rules for Accessing Cloud Files from Your Rust Code: Practical lessons from upgrading Bed-Reader, a bioinformatics library

Rust Walkthroughs

AsyncWrite and a Tale of Four Implementations

Garbage Collection Without Unsafe Code

Fragment specifiers in Rust Macros

Writing a REST API in Rust

[video] Traits and operators

Write a simple netcat client and server in Rust

Miscellaneous

RustFest 2024 Announcement

Preprocessing trillions of tokens with Rust (case study)

All EuroRust 2023 talks ordered by the view count

Crate of the Week

This week's crate is embedded-cli-rs, a library that makes it easy to create CLIs on embedded devices.

Thanks to Sviatoslav Kokurin for the self-suggestion!

Please submit your suggestions and votes for next week!

Call for Participation; projects and speakers

CFP - Projects

Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

Some of these tasks may also have mentors available, visit the task page for more information.

Fluvio - Build a new python wrapping for the fluvio client crate

Fluvio - MQTT Connector: Prefix auto generated Client ID to prevent connection drops

Ockam - Implement events in SqlxDatabase

Ockam - Output for both ockam project ticket and ockam project enroll is improved, with support for --output json

Ockam - Output for ockam project ticket is improved and information is not opaque 

Hyperswitch - [FEATURE]: Setup code coverage for local tests & CI

Hyperswitch - [FEATURE]: Have get_required_value to use ValidationError in OptionExt

If you are a Rust project owner and are looking for contributors, please submit tasks here.

CFP - Speakers

Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

RustNL 2024 CFP closes 2024-02-19 | Delft, The Netherlands | Event date: 2024-05-07 & 2024-05-08

NDC Techtown CFP closes 2024-04-14 | Kongsberg, Norway | Event date: 2024-09-09 to 2024-09-12

If you are an event organizer hoping to expand the reach of your event, please submit a link to the submission website through a PR to TWiR.

Updates from the Rust Project

309 pull requests were merged in the last week

add avx512fp16 to x86 target features

riscv only supports split_debuginfo=off for now

target: default to the medium code model on LoongArch targets

#![feature(inline_const_pat)] is no longer incomplete

actually abort in -Zpanic-abort-tests

add missing potential_query_instability for keys and values in hashmap

avoid ICE when is_val_statically_known is not of a supported type

be more careful about interpreting a label/lifetime as a mistyped char literal

check RUST_BOOTSTRAP_CONFIG in profile_user_dist test

correctly check never_type feature gating

coverage: improve handling of function/closure spans

coverage: use normal edition: headers in coverage tests

deduplicate more sized errors on call exprs

pattern_analysis: Gracefully abort on type incompatibility

pattern_analysis: cleanup manual impls

pattern_analysis: cleanup the contexts

fix BufReader unsoundness by adding a check in default_read_buf

fix ICE on field access on a tainted type after const-eval failure

hir: refactor getters for owner nodes

hir: remove the generic type parameter from MaybeOwned

improve the diagnostics for unused generic parameters

introduce support for async bound modifier on Fn* traits

make matching on NaN a hard error, and remove the rest of illegal_floating_point_literal_pattern

make the coroutine def id of an async closure the child of the closure def id

miscellaneous diagnostics cleanups

move UI issue tests to subdirectories

move predicate, region, and const stuff into their own modules in middle

never patterns: It is correct to lower ! to _

normalize region obligation in lexical region resolution with next-gen solver

only suggest removal of as_* and to_ conversion methods on E0308

provide more context on derived obligation error primary label

suggest changing type to const parameters if we encounter a type in the trait bound position

suppress unhelpful diagnostics for unresolved top level attributes

miri: normalize struct tail in ABI compat check

miri: moving out sched_getaffinity interception from linux'shim, FreeBSD su…

miri: switch over to rustc's tracing crate instead of using our own log crate

revert unsound libcore changes

fix some Arc allocator leaks

use <T, U> for array/slice equality impls

improve io::Read::read_buf_exact error case

reject infinitely-sized reads from io::Repeat

thread_local::register_dtor fix proposal for FreeBSD

add LocalWaker and ContextBuilder types to core, and LocalWake trait to alloc

codegen_gcc: improve iterator for files suppression

cargo: Don't panic on empty spans

cargo: Improve map/sequence error message

cargo: apply -Zpanic-abort-tests to doctests too

cargo: don't print rustdoc command lines on failure by default

cargo: stabilize lockfile v4

cargo: fix markdown line break in cargo-add

cargo: use spec id instead of name to match package

rustdoc: fix footnote handling

rustdoc: correctly handle attribute merge if this is a glob reexport

rustdoc: prevent JS injection from localStorage

rustdoc: trait.impl, type.impl: sort impls to make it not depend on serialization order

clippy: redundant_locals: take by-value closure captures into account

clippy: new lint: manual_c_str_literals

clippy: add lint_groups_priority lint

clippy: add new lint: ref_as_ptr

clippy: add configuration for wildcard_imports to ignore certain imports

clippy: avoid deleting labeled blocks

clippy: fixed FP in unused_io_amount for Ok(lit), unrachable! and unwrap de…

rust-analyzer: "Normalize import" assist and utilities for normalizing use trees

rust-analyzer: enable excluding refs search results in test

rust-analyzer: support for GOTO def from inside files included with include! macro

rust-analyzer: emit parser error for missing argument list

rust-analyzer: swap Subtree::token_trees from Vec to boxed slice

Rust Compiler Performance Triage

Rust's CI was down most of the week, leading to a much smaller collection of commits than usual. Results are mostly neutral for the week.

Triage done by @simulacrum. Revision range: 5c9c3c78..0984bec

0 Regressions, 2 Improvements, 1 Mixed; 1 of them in rollups 17 artifact comparisons made in total

Full report here

Approved RFCs

Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

No RFCs were approved this week.

Final Comment Period

Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

RFCs

No RFCs entered Final Comment Period this week.

Tracking Issues & PRs

[disposition: merge] Consider principal trait ref's auto-trait super-traits in dyn upcasting

[disposition: merge] remove sub_relations from the InferCtxt

[disposition: merge] Optimize away poison guards when std is built with panic=abort

[disposition: merge] Check normalized call signature for WF in mir typeck

Language Reference

No Language Reference RFCs entered Final Comment Period this week.

Unsafe Code Guidelines

No Unsafe Code Guideline RFCs entered Final Comment Period this week.

New and Updated RFCs

Nested function scoped type parameters

Call for Testing

An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization. The following RFCs would benefit from user testing before moving forward:

No RFCs issued a call for testing this week.

If you are a feature implementer and would like your RFC to appear on the above list, add the new call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

Upcoming Events

Rusty Events between 2024-02-07 - 2024-03-06 🦀

Virtual

2024-02-07 | Virtual (Indianapolis, IN, US) | Indy Rust

Indy.rs - Ezra Singh - How Rust Saved My Eyes

2024-02-08 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

2024-02-08 | Virtual (Nürnberg, DE) | Rust Nüremberg

Rust Nürnberg online

2024-02-10 | Virtual (Krakow, PL) | Stacja IT Kraków

Rust – budowanie narzędzi działających w linii komend

2024-02-10 | Virtual (Wrocław, PL) | Stacja IT Wrocław

Rust – budowanie narzędzi działających w linii komend

2024-02-13 | Virtual (Dallas, TX, US) | Dallas Rust

Second Tuesday

2024-02-15 | Virtual (Berlin, DE) | OpenTechSchool Berlin + Rust Berlin

Rust Hack n Learn | Mirror: Rust Hack n Learn

2024-02-15 | Virtual + In person (Praha, CZ) | Rust Czech Republic

Introduction and Rust in production

2024-02-19 | Virtual (Melbourne, VIC, AU) | Rust Melbourne

February 2024 Rust Melbourne Meetup

2024-02-20 | Virtual | Rust for Lunch

Lunch

2024-02-21 | Virtual (Cardiff, UK) | Rust and C++ Cardiff

Rust for Rustaceans Book Club: Chapter 2 - Types

2024-02-21 | Virtual (Vancouver, BC, CA) | Vancouver Rust

Rust Study/Hack/Hang-out

2024-02-22 | Virtual (Charlottesville, NC, US) | Charlottesville Rust Meetup

Crafting Interpreters in Rust Collaboratively

Asia

2024-02-10 | Hyderabad, IN | Rust Language Hyderabad

Rust Language Develope BootCamp

Europe

2024-02-07 | Cologne, DE | Rust Cologne

Embedded Abstractions | Event page

2024-02-07 | London, UK | Rust London User Group

Rust for the Web — Mainmatter x Shuttle Takeover

2024-02-08 | Bern, CH | Rust Bern

Rust Bern Meetup #1 2024 🦀

2024-02-08 | Oslo, NO | Rust Oslo

Rust-based banter

2024-02-13 | Trondheim, NO | Rust Trondheim

Building Games with Rust: Dive into the Bevy Framework

2024-02-15 | Praha, CZ - Virtual + In-person | Rust Czech Republic

Introduction and Rust in production

2024-02-21 | Lyon, FR | Rust Lyon

Rust Lyon Meetup #8

2024-02-22 | Aarhus, DK | Rust Aarhus

Rust and Talk at Partisia

North America

2024-02-07 | Brookline, MA, US | Boston Rust Meetup

Coolidge Corner Brookline Rust Lunch, Feb 7

2024-02-08 | Lehi, UT, US | Utah Rust

BEAST: Recreating a classic DOS terminal game in Rust

2024-02-12 | Minneapolis, MN, US | Minneapolis Rust Meetup

Minneapolis Rust: Open Source Contrib Hackathon & Happy Hour

2024-02-13 | New York, NY, US | Rust NYC

Rust NYC Monthly Mixer

2024-02-13 | Seattle, WA, US | Cap Hill Rust Coding/Hacking/Learning

Rusty Coding/Hacking/Learning Night

2024-02-15 | Boston, MA, US | Boston Rust Meetup

Back Bay Rust Lunch, Feb 15

2024-02-15 | Seattle, WA, US | Seattle Rust User Group

Seattle Rust User Group Meetup

2024-02-20 | San Francisco, CA, US | San Francisco Rust Study Group

Rust Hacking in Person

2024-02-22 | Mountain View, CA, US | Mountain View Rust Meetup

Rust Meetup at Hacker Dojo

2024-02-28 | Austin, TX, US | Rust ATX

Rust Lunch - Fareground

Oceania

2024-02-19 | Melbourne, VIC, AU + Virtual | Rust Melbourne

February 2024 Rust Melbourne Meetup

2024-02-27 | Canberra, ACT, AU | Canberra Rust User Group

February Meetup

2024-02-27 | Sydney, NSW, AU | Rust Sydney

🦀 spire ⚡ & Quick

If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

Jobs

Please see the latest Who's Hiring thread on r/rust

Quote of the Week

My take on this is that you cannot use async Rust correctly and fluently without understanding Arc, Mutex, the mutability of variables/references, and how async and await syntax compiles in the end. Rust forces you to understand how and why things are the way they are. It gives you minimal abstraction to do things that could’ve been tedious to do yourself.

I got a chance to work on two projects that drastically forced me to understand how async/await works. The first one is to transform a library that is completely sync and only requires a sync trait to talk to the outside service. This all sounds fine, right? Well, this becomes a problem when we try to port it into browsers. The browser is single-threaded and cannot block the JavaScript runtime at all! It is arguably the most weird environment for Rust users. It is simply impossible to rewrite the whole library, as it has already been shipped to production on other platforms.

What we did instead was rewrite the network part using async syntax, but using our own generator. The idea is simple: the generator produces a future when called, and the produced future can be awaited. But! The produced future contains an arc pointer to the generator. That means we can feed the generator the value we are waiting for, then the caller who holds the reference to the generator can feed the result back to the function and resume it. For the browser, we use the native browser API to derive the network communications; for other platforms, we just use regular blocking network calls. The external interface remains unchanged for other platforms.

Honestly, I don’t think any other language out there could possibly do this. Maybe C or C++, but which will never have the same development speed and developer experience.

I believe people have already mentioned it, but the current asynchronous model of Rust is the most reasonable choice. It does create pain for developers, but on the other hand, there is no better asynchronous model for Embedded or WebAssembly.

– /u/Top_Outlandishness78 on /r/rust

Thanks to Brian Kung for the suggestion!

Please submit quotes and vote for next week!

This Week in Rust is edited by: nellshamrell, llogiq, cdmistman, ericseppanen, extrawurst, andrewpollack, U007D, kolharsam, joelmarcey, mariannegoldin, bennyvasquez.

Email list hosting is sponsored by The Rust Foundation

Discuss on r/rust

[appwebcoders]

What is array_diff() Function in PHP and How to Use.

Introduction

array_diff — Computes the difference of arrays

Supported Versions: — (PHP 4 >= 4.0.1, PHP 5, PHP 7, PHP 8)

In Today’s Blog, We are going to discuss about array_diff() function in php. When it comes to working with arrays in PHP, developers often encounter situations where they need to compare arrays and find the differences between them. This is where the array_diff() function comes to the rescue. In this comprehensive guide, we will delve into the intricacies of the array_diff() function, understanding its syntax, functionality, and usage with real-world examples.

Understanding the array_diff() Function:

When working with arrays in PHP, the array_diff function emerges as a powerful tool for array comparison and manipulation. array_diff function enables developers to identify the disparities between arrays effortlessly, facilitating streamlined data processing and analysis.

The array_diff function allows you to compare arrays, pinpointing differences across elements while efficiently managing array operations. By leveraging this function, developers can identify unique values present in one array but absent in another, paving the way for comprehensive data management and validation.

One remarkable feature of array_diff is its ability to perform comparisons based on the string representation of elements. For instance, values like 1 and ‘1’ are considered equivalent during the comparison process. This flexibility empowers developers to handle diverse data types seamlessly.

Moreover, array_diff simplifies array comparisons regardless of element repetition. Whether an element is repeated several times in one array or occurs only once in another, the function ensures accurate differentiation, contributing to consistent and reliable results.

For more intricate data structures, such as multi-dimensional arrays, array_diff proves its versatility by facilitating dimension-specific comparisons. Developers can effortlessly compare elements across various dimensions, ensuring precise analysis within complex arrays.

Incorporating the array_diff function into your PHP arsenal enhances your array management capabilities, streamlining the identification of differences and enabling efficient data manipulation. By seamlessly integrating array_diff into your codebase, you unlock a world of possibilities for effective array handling and optimization.

The array_diff function in PHP is a powerful tool that allows developers to compare two or more arrays and return the values that exist in the first array but not in the subsequent arrays. It effectively finds the differences between arrays, making it an essential function for tasks like data validation, data synchronization, and more.

Note

VersionDescription8.0.0This function can now be called with only one parameter. Formerly, at least two parameters have been required.Source: https://www.php.net/

Syntax:

array_diff(array $array1, array $array2 [, array $... ])

Parameters:

array1: The base array for comparison.

array2: The array to compare against array1.

…: Additional arrays to compare against array1.

Example 1: Basic Usage:

$array1 = [1, 2, 3, 4, 5]; $array2 = [3, 4, 5, 6, 7]; $differences = array_diff($array1, $array2); print_r($differences);

Output

Array ( [0] => 1 [1] => 2 )

Example 2: Associative Arrays:

$fruits1 = ["apple" => 1, "banana" => 2, "orange" => 3]; $fruits2 = ["banana" => 2, "kiwi" => 4, "orange" => 3]; $differences = array_diff_assoc($fruits1, $fruits2); print_r($differences);

Output

Array ( [apple] => 1 )

Example 3: Multi-dimensional Arrays:

$books1 = [ ["title" => "PHP Basics", "author" => "John Doe"], ["title" => "JavaScript Mastery", "author" => "Jane Smith"] ]; $books2 = [ ["title" => "PHP Basics", "author" => "John Doe"], ["title" => "Python Fundamentals", "author" => "Michael Johnson"] ]; $differences = array_udiff($books1, $books2, function($a, $b) { return strcmp($a["title"], $b["title"]); }); print_r($differences);

Output

Array ( [1] => Array ( [title] => JavaScript Mastery [author] => Jane Smith ) )

Important Points

It performs a comparison based on the string representation of elements. In other words, both 1 and ‘1’ are considered equal when using the array_diff function.

The frequency of element repetition in the initial array is not a determining factor. For instance, if an element appears 3 times in $array1 but only once in other arrays, all 3 occurrences of that element in the first array will be excluded from the output.

In the case of multi-dimensional arrays, a separate comparison is needed for each dimension. For instance, comparisons should be made between $array1[2], $array2[2], and so on.

Conclusion

The array_diff() function in PHP proves to be an invaluable tool for comparing arrays and extracting their differences. From simple one-dimensional arrays to complex multi-dimensional structures, the function is versatile and easy to use. By understanding its syntax and exploring real-world examples, developers can harness the power of array_diff() to streamline their array manipulation tasks and ensure data accuracy. Incorporating this function into your PHP toolkit can significantly enhance your coding efficiency and productivity.

Remember, mastering the array_diff() function is just the beginning of your journey into PHP’s array manipulation capabilities. With this knowledge, you’re better equipped to tackle diverse programming challenges and create more robust and efficient applications.

[beetlejuiceearrings]

Webcore themed neopronouns

A bit of a self-indulgent one, I'll probably make more later but we are collectively fine with any of these

.web/http/.exe/tech/cy/ber/cyber/.com/cursor/pop-up/byte/computer/key/board/memory/card/CPU/bit/cache/binary/AI/software/virus/analog/app/buffer/browser/co/code/program/j/jpeg/gif/file/bug/data/digi/digital/fire/wall/disk/hack/hacker/hyper/link/html/log/macro/drive/portal/RAM/router/spy/spyware/widget/.zip/mal/malware/robot/cloud/domain/python/java/function/script/syntax/net/work/wire/mother/board/site/error/404/machine/power/mal/function/android/nano/net/work/Wi/Fi/droid/whirr/pix/pixel/click/clack/bot/web/site/website/type/beep/boop/search/radio/input/output/;/script/source/string/C++/\n/value/doc/png/txt/💻/📱/💿/🖥/⌨️/💾/💽

Ve/vir/virtual

Algo/rithm

Bit/map

Ve/vir/virus

Com/comp/computer

Ve/vir/version

Ce/cir/circuit

Gli/glitch

Syn/tax/syntax

Co/code

[tccicomputercoaching]

Python Features at TCCI

Python is a popular programming language. It is easy and also a great choice for beginners. It can be downloaded for free from its official website. It is a dynamic, free, open-source, high-level, and interpreted programming language known as object-oriented programming (OOP).

Computer technology has had a deep impact on the education sector. Thanks to computers, imparting education has become easier and much more interesting than before. that the role of computers in education has been given a lot of importance in recent years.

Python is a powerful, versatile, and easy-to-learn programming language that offers a range of features, including extensive libraries, simplicity, cross-platform compatibility, dynamic typing, object-oriented programming, and strong community support.

What is Python used for?

Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it's relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances.

Python Language contains following topics at TCCI:

Introduction, Basic Syntax, Variables, Data types, List, String, Number, Tuple, Directory, Basic Operators, Decision making, Loop, Module, Exception Handling, Files, Function, Object-Oriented Concepts

TCCI-Tririd computer coaching Institute offers  various computer course like C,C++,HTML, CSS, Data Structure ,Database Management System, Compiler Design,Python,Java,.Net .,Word,Excel,Power Point …..etc.…….All computer courses for BCA, MCA, BSC-MSc. IT, Diploma-Degree Engineering, school-students (any standard), and any person are taught at the institute by highly qualified and experienced faculties.

TCCI Computer classes provide the best training in all computer courses online and offline through different learning methods/media located in Bopal Ahmedabad and ISCON Ambli Road in Ahmedabad.

For More Information:

Call us @ +91 98256 18292

Visit us @ http://tccicomputercoaching.com/