Welcome back to our weekly newsletter! We have an exciting lineup of topics for you this week that are sure to pique your interest. From learning Numpy in just one week, to exploring the awesomeness of Python lambda functions, we've got it all covered! So, dust off your coding keyboard and let's dive right in!
First up, we have Day 18-22: Numpy in One Week: A Learner's Journey. If you're a beginner data scientist or curious about the wonders of data science, then this article is a must-read for you! It takes you on a journey of learning Numpy in just one week, complete with code snippets and detailed explanations.
Next on our list, we have a fascinating article on Lambda Functions in Python Explained. This article delves into the topic of lambda functions and their usefulness in Python. We bet by the end of the article, you'll be thinking of ways to include a lambda function in your next project!
Do you want to build a chatbot but don't know where to start? Fear not! Run ChatGPT-Style Questions Over Your Own Files Using the OpenAI API and LangChain! is here to help! This tutorial shows you how to run ChatGPT-style questions over your own files using the OpenAI API and LangChain. It's easier than you think!
Feature flags are a powerful tool for developers, and Getting Started with Feature Flags: A Comprehensive Guide is the perfect starting point. This guide teaches you everything you need to know about feature flags, from what they are, to how they can benefit your project, to how to implement them in your code.
Last but not least, we have an article on Using Python's exec() To Generate Code Dynamically. If you're a seasoned Python developer or someone who loves dynamic coding, this article is for you! It explores the power of using the exec() method in Python, complete with examples that are sure to blow your mind.
That's all for this week's newsletter! We hope you enjoyed reading through these articles as much as we enjoyed putting them together. Stay tuned for more exciting topics in the coming weeks!
Our Article Picks
- Varshith V Hegde: Python in the browser with Pyscript
- giveitatry: How to code a product recommendation engine in PYTHON using ChatGPT?
- Hunter Johnson: Python 101 tutorial: Write your first real program
- Andy Piper: Getting arty with a Pi
- Srinivas Kandukuri: Last week top 5 posts tagged(#python)
- Chetanam: How To Get Land Web Development Clients! 💰💰💰
- Eduardo Oliveira: Full-Text Search: Criando um Back-End de Filtro para o Django Rest-Framework
- Connor Van Etten: Lambda Functions in Python Explained
- Andrey: Dev Community Statistics Research
- CrawlMagic: Know the secrets of Netflix dataset: A guide of data scraping
- Maxime Guilbert: Comment simplifier vos tests unitaires ?
- John Paul Ada: 💪 UNBREAKABLE Code with ChatGPT!
- Aarushi Kansal: Giving your Large Language Model skills: Stoicism Meets AI
- Jared Nielsen: How to Code the Binary Search Algorithm
- Maxime Guilbert: How to simplify your unit test?
- Rain Leander: Three Common Python Interview Challenges
- Sachin: Using Python's exec() To Generate Code Dynamically
- Kwaku Duah: Build A Weather App With Django.
- Reaminated: Run ChatGPT-Style Questions Over Your Own Files Using the OpenAI API and LangChain!
- CrawlMagic: Maximising your Data collection efficiency with One click!!
- Ethan: Applying Anime Style Filters With Python
- Rain Leander: A Comprehensive 14-Week Python Study Plan to Kickstart Your Coding Journey
- Safi: Harnessing the Power of Apache AGE with Python: An Overview of the AGE Python
- Ahmed Radwan: Python for Newbies: Your Ultimate Guide to Learning Python and Best Practices
- Balogun Malik O: How To Build A Bitcoin Custodial Wallet with Python
- shimo: Create selectable PDF files with Lambda Python and ReportLab
- Rabin Dhamala: Deploying a Django Rest Framework app using PM2
- Artur Chukhrai: Get Product Data from Bing Shopping with Python and SerpApi
- Deep Singh: Builder Design Pattern Explained Easily
- CincyBC: Scraper Function to Airflow DAG
- Dinesh kumar: Embracing Early Exits: Refactoring Concepts in Programming with Real-World Examples
- Kibet Amos: Loops in python
- Saurabh Bomble: Twelve Factor app
- Aditya Mathur: Let's Dockerize your Django & React JS App.
- shiningamour: Getting Started with Feature Flags: A Comprehensive Guide
- Wayne S: Building a headless e-commerce app using OceanBase and Python
- Mario García: PostgreSQL: Query Optimization With Python and PgBouncer
- Adrian Brown: LLMs using a single API
- Camila John: NetSuite Integration with Salesforce
- John Enad: Day 18-22: Numpy in One Week: A Learner's Journey
- van: Who else can match such speed? A performance leap prompted by a single issue
- ConnectiveCode: Exploring the dynamics of mobility through the power of heat maps & python
- CincyBC: Abstract Configurations
- Jatin Naik: What should some who is 18yrs old now, start learning first, Java or Python or both together????
- Otavio Monteagudo: Supercharged Studying with Anki, ChatGPT and Python
- Kibet Amos: Strings in Python
- Avinash Vagh: Installing Python & Jupyter Notebook on Windows11
- van: Github: A High-Performance Library for Audio Analysis
- es404020: Data splitting using sklearn
- Abu Hurayra: Python Input/Output for Competitive Programming
- Juan Miguel Rodriguez Ceron: Developing with ChatGPT
- Mikołaj Buchwald: Running Bash commands with Python
- abbyesmith: Password hashing using Bcrypt in Python
- Simon Green: Sorting Routes
- Jeff Dwyer: How many log levels are there?
- Kent: Reading Python Documentation the right way
- Divyanshu Shekhar: The Power of Google Cloud Text to Speech API
- lívia alves: Python Project - Map of Subway of São Paulo
- Eden AI: How to use Face Detection API with Python in 5 minutes?
Our Repo Picks
- xtekky/gpt4free (Python): decentralising the Ai Industry, just some language model api's...
- suno-ai/bark (Python): 🔊 Text-Prompted Generative Audio Model
- Vision-CAIR/MiniGPT-4 (Python): MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
- haotian-liu/LLaVA (Python): Large Language-and-Vision Assistant built towards multimodal GPT-4 level capabilities.
- OpenBMB/BMTools (Python): Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins
- pengzhile/pandora (Python): 潘多拉，一个让你呼吸顺畅的 ChatGPT。Pandora, a ChatGPT that helps you breathe smoothly.
- imClumsyPanda/langchain-ChatGLM (Python): langchain-ChatGLM, local knowledge based ChatGLM with langchain ｜ 基于本地知识的 ChatGLM 问答
- togethercomputer/RedPajama-Data (Python): The RedPajama-Data repository contains code for preparing large datasets for training large language models.
- zilliztech/GPTCache (Python): GPTCache is a library for creating semantic cache to store responses from LLM queries.
- jina-ai/gptdeploy (Python): One line to create them all
- lllyasviel/ControlNet-v1-1-nightly (Python): Nightly release of ControlNet 1.1
- facebookresearch/dinov2 (Python): PyTorch code and models for the DINOv2 self-supervised learning method.
- jackfrued/Python-100-Days (Python): Python - 100 天从新手到大师
- pyscript/pyscript (Python): Home Page: https://pyscript.net Examples: https://pyscript.net/examples
- chidiwilliams/buzz (Python): Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
- FreedomIntelligence/LLMZoo (Python): ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡
- ashawkey/stable-dreamfusion (Python): A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
- OpenBB-finance/OpenBBTerminal (Python): Investment Research for Everyone, Everywhere.
- guillaumekln/faster-whisper (Python): Faster Whisper transcription with CTranslate2
- kaqijiang/Auto-GPT-ZH (Python): Auto-GPT 中文版本及爱好者组织 同步更新原项目 AI 领域创业 自媒体组织 用 AI 工作学习创作变现
- bhaskatripathi/pdfGPT (Python): PDF GPT allows you to chat with the contents of your PDF file by using GPT capabilities. The only open source solution to turn your pdf files in a chatbot!
- danielgross/LlamaAcademy (Python): A school for camelids
- h2oai/h2o-llmstudio (Python): H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs
- Significant-Gravitas/Auto-GPT-Plugin-Template (Python): A starting point for developing your own plug-in for Auto-GPT
- Significant-Gravitas/Auto-GPT-Plugins (Python): Plugins for Auto-GPT
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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