TLWI Python #32
Welcome back, friends, to another edition of our weekly newsletter! We've got some exciting links to share with you, so hold onto your hats and get ready to dive into the world of Python.
First up, have you ever wished you could run Python code in your browser or in Node.js? Well, Pyodide might be just what you're looking for. This Python distribution is based on WebAssembly and allows you to run Python code in your browser, giving you the power of Python wherever you go. It's perfect for data science, machine learning, or just for having some fun with Python without needing to install anything on your computer.
Next, we have a fantastic article series called "Writing about Django." In this series, you'll learn all about web development with Django, from setting up your development environment to creating your first web app. If you're new to Django, or just want to brush up on your skills, then part 1 is the perfect place to start.
If you're interested in AWS Cloudfront, then you won't want to miss our "How To Guide For Windows". This AWS Cloudfront Manager Utility guide is perfect for those of you who are new to Cloudfront, or for those who want to learn more about it. With step-by-step instructions, you'll be able to manage your Cloudfront distributions like a pro in no time.
For those of you who are new to Python, we've got the ultimate introduction just for you. Our Ultimate Introduction to Python guide will take you from beginner to intermediate in no time. You'll learn all about Python syntax, data types, control structures, and more. With this guide, you'll be able to start writing Python code with confidence.
Finally, we have our third instalment of the Python Cheat Sheet series. This Python Cheat Sheet Part - 3 is perfect for those times when you need a quick reference while writing Python code. It includes everything from Python syntax to data structures and even some useful libraries. Print it out and keep it handy next time you're coding in Python.
That's it for this week's newsletter, folks! We hope you enjoyed the links and learned something new. As always, feel free to reply and let us know what you'd like to see more of in our newsletter. Until next time, happy coding!
Hot Python Articles This Week On Reddit
Our Article Picks
- Rubens Barbosa: A Bunch of Linux Commands
- Christian: Small tip to shrink your Docker images size
- Tina Huynh: 10 Exciting Beginner Machine Learning Projects of 2022
- Anita Achu: Building a contact application with Django and Appsmith
- Graham Morby: Loading styles and static files in Django
- V3N2R4: Consultas ORM Django(Parte 1):
- Tina Huynh: Introduction to PyTorch
- Dhravya: This website doesn't have an API, so I made my own, with extra features.
- Ochwada Linda: 2 Python Project Ideas for Beginners
- Harinder Seera 🇭🇲: AWS Cloudfront Manager Utility - How To Guide For Windows
- elsenorgato: 5 Reasons to Use Python for Web Development
- Pius Kariuki: Detecting Fake News with Python and Machine Learning
- Ochwada Linda: Get Started with Face Detection with Python
- Chris Greening: Connecting to a relational database using SQLAlchemy and Python
- Waylon Walker: Using Git from Python
- Shashank Shekhar: The Captain's Room | Hackerrank Problem Solution With Explanation
- Angela Araújo: [Python] Estrutura de Repetição 'for'
- daud99: Gradient Descent
- BochaberiDaisy: Detecting Fake News with Python and Machine Learning
- Joao Carlos Sousa do Vale: Estruturas de Seleção em Python - #07
- Rubens Barbosa: ETL with Spark on Azure Databricks and Azure Data Warehouse (Part 2)
- Biraj: Introduction to NumPy
- sandeepk27: Python Cheat Sheet Part - 2
- Jothin kumar: Tic Tac Toe 🎮 with Python tkinter - part 2
- KamauRuth: FAKE NEWS DETECTION.
- SOMYA RAWAT: Amazing Python Programs
- park5: for beginners OpenCV python(#1 - install)
- Karim: Parallélisation distribuée presque triviale d’applications GPU et CPU basées sur des Stencils avec Julia et ParallelStencil.jl …
- mwang-cmn: Ultimate Introduction to Python
- daud99: Linear Regression using Gradient Descent
- elsie-n: Detecting Fake News with Python and Machine Learning
- MDGF93: Writing about Django — #1
- Mangabo Kolawole: List to Dict
- sandeepk27: Python Cheat Sheet Part - 3
- Tina Huynh: Watch out for the (PyTorch) Lightning
- Dmitriy Zub ☀️: Scrape Google Scholar Publications from a particular website in Python
- Willian Antunes: RegEx, Data Classes and Type Hints with Python: Learning from tweet text
- Sleeksville Creations: Mastering Python For Web Development.
- Dave: Python Debugging Exercises
- Dmitriy Zub ☀️: Scrape Google Scholar Publications within a certain website using Python
- Simon Egersand 🎈: How I Built My Own List Type in Python With a String
- balt1794: Generate NFT Metadata (JSON) using Python - Much Exclusive Doge Yacht Club Collection - Part IV
- Graham Morby: Python in the Browser? Ok let's do it!
- Maxim Danilov: How to solve the singleton problem in Django ModelAdmin.
- Nilay Jayswal: "But it works on my machine"?
- elsie-n: Mastering Python for Web Development.
- Mahmoud EL-kariouny: Python challenge_19🐍💪
- Softhunt: Python Map Function
- Laysa Uchoa: PyCamp 2022 - Going camping without bugs
- Ethan: Creating Various Filters With OpenCV/Python
- Isabelle M.: Code Anatomy - Writing high performance Python code
- Yash Makan: Whatsapp Clone for Android & IOS using Flutter & Python - Part 2 (Complete Tutorial)
- Piotr Maliński: Scripting LCD on Wio Terminal with ArduPy
- shiahalan: Project Three: Sudoku Solver
- Eda: Solving the Problem Sets of CS50's Introduction to Programming with Python — One at a Time: Problem Set 4
- Suhem Parack: Understanding the entire conversation around a Tweet with the Twitter API v2
- Brantley Harris: What if there was a CLI called "py" that got you working right away?
- Tai Kedzierski: Argument parsing and subparsers in Python
- Medea: Music game
- Ahmad Khan: HELP!!!! Python Error
Our Repo Picks
- lucidrains/DALLE2-pytorch (Python): Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
- programthink/zhao (Python): 【编程随想】整理的《太子党关系网络》，专门揭露赵国的权贵
- mvt-project/mvt (Python): MVT (Mobile Verification Toolkit) helps with conducting forensics of mobile devices in order to find signs of a potential compromise.
- Vonng/ddia (Python): 《Designing Data-Intensive Application》DDIA 中文翻译
- gradio-app/gradio (Python): Create UIs for your machine learning model in Python in 3 minutes
- ml-tooling/best-of-ml-python (Python): 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
- pyodide/pyodide (Python): Pyodide is a Python distribution for the browser and Node.js based on WebAssembly
- neonbjb/tortoise-tts (Python): A multi-voice TTS system trained with an emphasis on quality
- dataabc/weiboSpider (Python): 新浪微博爬虫，用 python 爬取新浪微博数据
- BandaiNamcoResearchInc/Bandai-Namco-Research-Motiondataset (Python): This repository provides motion datasets collected by Bandai Namco Research Inc
- apache/airflow (Python): Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
- SecureAuthCorp/impacket (Python): Impacket is a collection of Python classes for working with network protocols.
- StevenBlack/hosts (Python): 🔒 Consolidating and extending hosts files from several well-curated sources. Optionally pick extensions for porn, social media, and other categories.
- anasty17/mirror-leech-telegram-bot (Python): Aria/qBittorrent Telegram mirror/leech bot
- mhamilton723/STEGO (Python): Unsupervised Semantic Segmentation by Distilling Feature Correspondences
- borisdayma/dalle-mini (Python): DALL·E Mini - Generate images from a text prompt
- diego-vicente/som-tsp (Python): Solving the Traveling Salesman Problem using Self-Organizing Maps
- swisskyrepo/PayloadsAllTheThings (Python): A list of useful payloads and bypass for Web Application Security and Pentest/CTF
- Asabeneh/30-Days-Of-Python (Python): 30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.
- commaai/openpilot (Python): openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for over 150 supported car makes and models.
- archlinux/archinstall (Python): Arch Linux installer - guided, templates etc.
- python/cpython (Python): The Python programming language
- help-iq2/telethon (Python): undefined
- lucidrains/vit-pytorch (Python): Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
The Last Week In Python is a weekly roundup for all things Python! Follow me on Twitter for more projects @dennisokeeffe92.
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