TLWI Python
thelastweekin.dev
Hey there, fellow tech enthusiasts! It's time for another edition of our jam-packed weekly newsletter. We've got a bunch of exciting articles and resources lined up just for you. So grab a cup of coffee, sit back, and get ready to dive into some Python fun, Object-Oriented Programming mastery, and even a little Gopher action. Let's get started!
First up, we have an informative article that demystifies the concept of public, protected, and private access modifiers in Python. Whether you're a beginner or a seasoned Python pro, this Python: Public, Protected & Private Access Modifiers article will shed light on this topic with relatable examples.
Next, we're delving into the fascinating world of Object-Oriented Programming (OOP) in Python. OOP is a powerful paradigm that allows us to structure our code in a more organized and reusable manner. Gain a better understanding of this fundamental concept with our comprehensive guide on Object-Oriented Programming in Python
For those of you who enjoy exploring different programming languages, we've got just the treat for you! Our very own Gopher Pythonista has hit the scene, sharing insights on transitioning from Python to Go in the first edition of the Gopher Pythonista series. Check out Gopher Pythonista #1: Moving From Python To Go
In the spirit of expanding our Python skills, we've also prepared a comprehensive guide on mastering CRUD operations with Python. CRUD (Create, Read, Update, Delete) is a vital set of operations in any application, and our guide promises to equip you with an extensive understanding. 🐍📝 Dive into the world of data manipulation with Mastering C.R.U.D Operations with Python: A Comprehensive Guide
Last but not least, get ready for a merry ride through a tongue-in-cheek take on list comprehensions. In a poetic twist, our article 'twas the night before list comprehensions...' tackles the confusion and complexity that sometimes surround this powerful Python feature. Unravel the mysteries and enjoy a few chuckles with our humorous piece. Click here
That's a wrap for this week's edition. We hope you find these articles and resources as entertaining and educational as we do. Stay tuned for more exciting content in the next newsletter! Happy coding, folks! 🚀
Dennis
Our Article Picks
- Karishma Shukla: Building Resilient Systems with Idempotent APIs
- Nomadev💻🔱: Twitter X Uncovered: Everything You Need to Know
- Scofield Idehen: Object-Oriented Programming in Python
- Bala Priya C: How To Code a Simple Number Guessing Game in Python
- Karine BAUCH: Why I chose Python
- Scofield Idehen: Unlocking the Power of PyScript: A Guide to Running Python Code in Your HTML
- Ashutosh Kumar: How to Write Impeccably Clean Code That Will Save Your Sanity
- Eric Hu: Working with Django Forms
- Chris White: Python Networking: Servers
- Santhosh Balasa: ExpiringLRUCache and The CLOCK Algorithm: A Fun Dive into Python Caching
- Akarshan Gandotra: Create Awaitable Constructors with AsyncMixin
- Piotr Tobiasz: Gopher Pythonista #1: Moving From Python To Go
- Abby: Powering Anomaly Detection for Industry 4.0
- Giuliano1993: API && SSH: Create and setup a server with Python and Digital Ocean
- Zoo Codes: Automate Python Linting and Code Style Enforcement with Ruff and GitHub Actions
- Kauna Hassan: Building a Slack Bot in Python
- Carlos Armando Marcano Vargas: How to Build a Application Monitoring System with FastAPI and RabbitMQ | Python
- Karine BAUCH: Asking how can I become better
- Rachit Khurana: Let's Learn Django #6: Using Database & Admin Panel
- Jay Codes: Embracing Machine Learning: Overcoming the Math Fear for Beginners
- Simon Pfeiffer: Can a chatbot help to communicate our USPs?
- Kirill Balakhonov: How to Create a Telegram Bot to Monitor Your Service Uptime in Python (Part 1: Instant Metrics)
- fergus-mk: Making a Simple Python Text Based Game
- Srinivas Kandukuri: Last week top 5 posts tagged(#python)
- BorisKlco: Media Downloader in Next.js, tailwind, Flask&sqlAlchemy
- Piotr Tobiasz: Sigma Python #1: Decorators
- Stokry: Performance Comparison between Python and Ruby
- Jessica Giraldo: “Making a list, checking it twice……cause man these are confusing”: ‘twas the night before list comprehensions....
- infosec-jobs.com: How we enhanced our jobseeker user experience on infosec-jobs.com with og:screen
- Surya: Mastering C.R.U.D Operations with Python: A Comprehensive Guide 🐍📝
- Franklin Gonzi: Python 101: A beginner's guide.
- Akinnimi Stefan Emmanuel: Python Installation Guide For Windows 11
- maucap20: Your CLI really is that guy
- Higor Diego: Desvendando a criptografia do Firefox e resgatando senhas salvas!
- Piotr Tobiasz: Patterns and Practices for using SQLAlchemy 2.0 with FastAPI
- techwriterjohn: Creating a virtual environment in Python
- Robert Nemet: Learning eBPF: Maps, Ring Buffers and Output
- Higor Diego: Cracking Firefox Encryption and Rescuing Saved Passwords!
- Aqsa81: 7 Best Python Libraries For Machine Learning
- Abdulmumin yaqeen: How to containerize a Python web app
- kamavadhani: Azure Functions: V2 Python Programming Model Example
- Chen Zhang: QuickSelect Algorithm - Find the Kth Smallest Element in an Array
- 豌豆花下猫: Python Trending Weekly #12
- gitshanleycaswell: Lamb-Duh
- Alex M. Schapelle: Learn Redis Or How DevOps Had To Do Back-End Work
- bkmalan: How to add pg_embedding extension to PostgreSQL
- Alex Milenkovic: Building a simple but advanced Jsonic language using Python
- Sachin: Python: Public, Protected & Private Access Modifiers - Explained With Examples
- Jay Codes: Mastering Data Preprocessing for Machine Learning in Python: A Comprehensive Guide
- Piotr Tobiasz: Sigma Python #2: Generators
- vidvatek: Convert HTML to PDF in Python: Step-by-Step Guide
- Piotr Tobiasz: Debugging Python Apps in VSCode
- Nepolean Rameswaran: Notes on Deep Learning: 1
- Madhav Jha: Pytest Quick Refresher
- Francisco Júnior: Introdução ao método
apply()
e lambda no Pandas: Um Guia Completo - Sebby235: The Power Of List Comprehension
- Jawdat Tayfour: Django Dev Journey #3
- codethepotato: Imperative vs Declarative Programming
- Galopin: For my fellow beginners in python
- Pritam-Guha: Automation(Part - 1): A Beginner's Guide to Streamlining Tasks and Saving Time.
Our Repo Picks
- PromtEngineer/localGPT (Python): Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
- facebookresearch/llama (Python): Inference code for LLaMA models
- FlagAlpha/Llama2-Chinese (Python): Llama 中文社区,最好的中文 Llama 大模型,完全开源可商用
- RayVentura/ShortGPT (Python): 🚀🎬 ShortGPT - Experimental AI framework for automated short/video content creation.
- Stability-AI/generative-models (Python): Generative Models by Stability AI
- facebookresearch/llama-recipes (Python): Examples and recipes for Llama 2 model
- dabeaz-course/python-mastery (Python): Advanced Python Mastery (course by @dabeaz)
- comfyanonymous/ComfyUI (Python): A powerful and modular stable diffusion GUI with a graph/nodes interface.
- oobabooga/text-generation-webui (Python): A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, OPT, and GALACTICA.
- haotian-liu/LLaVA (Python): Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
- minimaxir/simpleaichat (Python): Python package for easily interfacing with chat apps, with robust features and minimal code complexity.
- shroominic/codeinterpreter-api (Python): Open source implementation of the ChatGPT Code Interpreter 👾
- a16z-infra/llama2-chatbot (Python): LLaMA v2 Chatbot
- Codium-ai/pr-agent (Python): 🚀CodiumAI PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
- ShishirPatil/gorilla (Python): Gorilla: An API store for LLMs
- mlc-ai/mlc-llm (Python): Enable everyone to develop, optimize and deploy AI models natively on everyone's devices.
- Melelery/c-binance-futures-quant (Python): low-cost, high-efficiency, easy-to-implement
- 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
- lvwerra/trl (Python): Train transformer language models with reinforcement learning.
- michael-wzhu/Chinese-LlaMA2 (Python): Repo for adapting Meta LlaMA2 in Chinese! META 最新发布的 LlaMA2 的汉化版! (完全开源可商用)
- SergeyPirogov/webdriver_manager (Python): undefined
- bigscience-workshop/petals (Python): 🌸 Run large language models at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
- jxxghp/MoviePilot (Python): undefined
- karpathy/nanoGPT (Python): The simplest, fastest repository for training/finetuning medium-sized GPTs.
- facebookresearch/co-tracker (Python): CoTracker is a model for tracking any point (pixel) on a video.
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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