TLWI Python #7
thelastweekin.dev
Hello happy readers! Welcome back to our weekly newsletter where we bring you the latest and greatest in the tech world. This week, we have some exciting links for our programming pals out there. For any programmers looking to up their game, we've got the TOP 3 SITES FOR PROGRAMMERS article to help you out. From coding challenges to resources for learning new languages, these sites are sure to keep you engaged and constantly improving your skills.
Now, let's dive into some technical content. Are you a Django developer looking to use Websockets in your application without Channels? Look no further! Our Websockets in Django (without Channels) article has got you covered. With this tutorial, you'll learn how to use WebSockets in your Django application without the need for third-party Channels.
We know that sometimes coding can be daunting, but it doesn't always have to be. That's why we're excited to share with you a new open access book on Matplotlib by the creator of the cheatsheets. In this book, you'll learn how to create professional-quality plots and graphics with ease using Python's leading data visualization library. Check out Open Access Book on Matplotlib by the creator of the cheatsheets (me) to get your copy today.
Next up, we've got an article for those looking to level up their testing skills. Our 10 Ways To Level Up Your Testing with Python article has got you covered. From mocking to test-driven development, this article goes through some important testing skills to help you be a more effective web developer.
And last but not least, we have an article that will be helpful for anyone looking to deploy any Python web application. Our How to deploy any Python Web Application? article covers the basics of deploying your web application on a server. From setting up a virtual environment to configuring your web server, this article has got you covered.
That's all for this week, folks! Thanks for tuning in and we hope you'll join us next time for more exciting content. Until then, happy coding!
Dennis
Updates From The Python Blog
- Python 3.9.9 hotfix release is now available - Monday, November 15, 2021
Hot Python Articles This Week On Reddit
Our Article Picks
- Why and How ❔❔: TOP 3 SITES FOR PROGRAMMERS 👩💻
- Anjali Kumawat: Python : OS Module
- webcodespace: Best Programming Languages to Learn as a Beginner
- Rounak Banik: Create Generative NFT Art with Rarities
- Ogunbiyi Ibrahim: Creating an Image Sketch with OpenCV (10 Lines of Code).
- Sharad Raj (He/Him): Tools for generating REST API docs rapidly?
- hrishikesh1990: How to concatenate lists in Python?
- Alvison Hunter Arnuero | Front-End Web Developer: Speech Recognition using Python
- Saji Wang: Create a Discord Bot in Minutes with Python
- Lorena Ciutacu: Detecting emotions from speech with neural networks in Python
- Vadim Kolobanov: Instructive Python code examples for Beginners
- Adarsh Rawat: Most Used Built-in functions in Python in
- CYBERDEVILZ: Predicting the Stock Market Using Machine Learning
- Sam Sonter: Easy use of F-Strings with Python.
- propelauthblog: Analyzing Chess Positions in Python - Building a Chess Analysis App (Part 1)
- Dhruv Rajkotia: Automation Script for the Flight Searching
- Saleh Mubashar: 3 Simple Python Exercises
- icncsx: pip stuff you might need to know
- Bek Brace: Machine Learning - Streamlit [Python]
- Ayush Agarwal: Simple Password Encryption Using Python
- Anjali Kumawat: EOL : Python Syntax Error
- Joachim Watkidog: Getting started with FastAPI and Docker
- Ajith-Klep: Websockets in Django (without Channels)
- Alex Strick van Linschoten: 10 Ways To Level Up Your Testing with Python
- Yash Makan: Generate your own favourite TV episode using python
- Bek Brace: Track the ISS in real-time with Python [NASA Project]
- Snehal Adbol: Tips to improve your django skills - part 1
- Tomasz Wegrzanowski: Electron Adventures: Episode 96: Pywebview Terminal App
- Adarsh Rawat: Learn Generators in Python with (Examples)
- jbrocher: Building The Poll App From the Django Tutorial With FastAPI and React
- danie_L: Getting Started with Fast API and Docker Part 1
- Rahul Banerjee: Gentle Introduction to Linear Programming
- kOr3s: Getting Started With Fast API and Docker
- Stan ku2ck4: How to install pip3 on mac
- Abhijith Ganesh: How to deploy any Python Web Application?
- Ali Bahaari: How to break outer ones of nested loops in Python?
- Kevin Lewis: Getting Started with APIs
- Naem Azam: How to make a GUI Password manager using Python
- Lambda Technology Inc: P-PL.com - Python Multiple Choice Quiz: Just how Well Do YOU Know Python?
- icncsx: Python Packaging: sdist vs bdist
- Adarsh Rawat: Getting Started with Decorators in Python
- luthfisauqi17: Data Structure in Python3: Stack
- Sahil: Conditional Statements and Loops in Python
- Bek Brace: [Build a Loan Calculator
- PyQT5 [Python]](https://dev.to/bekbrace/build-a-loan-calculator-pyqt5-python-2707)
- Adarsh Rawat: Getting Started with Collections Module in Python
- rrtutors: Create Notepad editor with Python using Tkinter
- Abaki12: Getting Started with Fast API and Docker
- Nobbi's Crypto: Connecting Hodloo With a 3Commas Bot (API Version)
- KeyDelivery Support: Free eCommerce Shipping & Tracking API Python Demo
- ThePylot: Migration of Categories (Collections) using Shopify API
- Yash Indane: Enable CGI in Apache2
- Vadim Kolobanov: Python features you'll want to repeat
- Salah Elhossiny: Leetcode Problem Solving: Fraction Addition and Subtraction (592)
- Adarsh Rawat: Object Serialization and Deserialzation in Python
- EMed HealthTech: Solving Healthcare Problems through Technology
- Mahmoud EL-kariouny: Python challenge_11
- B.Jothin kumar: What's the time in your friend's country?
- Dimitry Zub ☀️: Scrape Naver News Results with Python
- Vee Satayamas: Installing Python 3.10 on openSUSE Leap 15.3
- Kavindu Santhusa: Top 10 trending github repos of the week🎾.
Our Repo Picks
- Python-World/python-mini-projects (Python): A collection of simple python mini projects to enhance your python skills
- huggingface/datasets (Python): 🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
- bregman-arie/devops-exercises (Python): Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
- PyTorchLightning/pytorch-lightning (Python): The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
- aeon0/botty (Python): D2R Pixel Bot
- tensorflow/models (Python): Models and examples built with TensorFlow
- eriklindernoren/PyTorch-GAN (Python): PyTorch implementations of Generative Adversarial Networks.
- freqtrade/freqtrade (Python): Free, open source crypto trading bot
- apache/superset (Python): Apache Superset is a Data Visualization and Data Exploration Platform
- abhishekkrthakur/mlspace (Python): MLSpace: Hassle-free machine learning & deep learning development
- Mashiro2000/HeyTapTask (Python): 适配青龙面板/云函数/本地运行的欢太商城脚本
- TachibanaYoshino/AnimeGANv2 (Python): [Open Source]. The improved version of AnimeGAN. Landscape photos/videos to anime
- RasaHQ/rasa (Python): 💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants
- mingrammer/diagrams (Python): 🎨 Diagram as Code for prototyping cloud system architectures
- PaddlePaddle/PaddleSeg (Python): Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks from research to industrial applications.
- PyCQA/bandit (Python): Bandit is a tool designed to find common security issues in Python code.
- tiangolo/fastapi (Python): FastAPI framework, high performance, easy to learn, fast to code, ready for production
- open-mmlab/mmdetection (Python): OpenMMLab Detection Toolbox and Benchmark
- thu-ml/tianshou (Python): An elegant PyTorch deep reinforcement learning library.
- cupy/cupy (Python): NumPy & SciPy for GPU
- deepinsight/insightface (Python): State-of-the-art 2D and 3D Face Analysis Project
- openai/gym (Python): A toolkit for developing and comparing reinforcement learning algorithms.
- sherlock-project/sherlock (Python): 🔎 Hunt down social media accounts by username across social networks
- d2l-ai/d2l-zh (Python): 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球 200 所大学采用教学。
- fighting41love/funNLP (Python): 中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT 词库、财经词库、成语词库、地名词库、历史名人词库、诗词词库、医学词库、饮食词库、法律词库、汽车词库、动物词库、中文聊天语料、中文谣言数据、百度中文问答数据集、句子相似度匹配算法集合、bert 资源、文本生成&摘要相关工具、cocoNLP 信息抽取工具、国内电话号码正则匹配、清华大学 XLORE:中英文跨语言百科知识图谱、清华大学人工智能技术…
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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