freeCodeCamp·2yLearn Machine Learning in 2024
Learn machine learning in 2024 with a comprehensive course on the freeCodeCamp.org YouTube channel. The course covers machine learning basics, practical algorithms, and includes an end-to-end project in Python. It provides a clear roadmap for beginners and offers guidance for further learning.
Hacker News·2yWeb Scraping in Python - The Complete Guide
This post provides a comprehensive guide to web scraping in Python, including the advantages of using Python for web scraping, the best Python libraries for web scraping, and some tips and best practices for handling challenges in web scraping. It also includes code examples and recommendations for alternative libraries and tools for web scraping.
Medium·2yBuild an AI-powered LinkedIn profile reviewer: OpenAI Assistants API and Gpt-4-vision
This post discusses how to build an AI-powered LinkedIn profile reviewer using OpenAI Assistants API and Gpt-4-vision. It covers the user experience, code breakdown, and the process of creating the Assistant. The article also provides information on scraping LinkedIn profiles and handling custom function calls. The final part of the article showcases the user interface and the main interaction logic of the application.
DevBlogs·2yPython in Visual Studio Code
March 2024 release of Python and Jupyter extensions for Visual Studio Code includes new features, improved 'Add Import' Quick Fix, automatic browser start for debugging Django or Flask apps, shell integration for Python REPL, and language support for locally running Jupyter servers.
freeCodeCamp·2yHow to Build a Job Board Scraper with Python
Learn how to build a job board scraper with Python using the Pyppeteer framework. This tutorial covers the basics of web scraping and provides step-by-step instructions for extracting job listings from websites like Indeed.com. You'll also learn how to store the scraped data and clean and organize it for analysis.
ThePrimeTime·2yEvery programming language explained in 15 minutes | Prime Reacts
A post discussing various programming languages, including Assembly, Fortran, Cobol, Lisp, Python, and more. It provides brief insights into the history and uses of each language without explicitly mentioning the article.
Medium·2yBuilding an Investment Portfolio Management App with Python
Learn how to build an investment portfolio management app with Python and Streamlit. The app helps track investment performance, analyze portfolio allocation, and evaluate the historical performance of individual securities. It provides interactive visualizations and insights to guide decision-making.
Community Picks·2yResearchers say generative AI isn't replacing devs any time soon
A study suggests that generative AI is unlikely to replace humans in software development anytime soon. Researchers found that current large language models (LLMs) could only solve a small percentage of common software engineering problems. Developers expressed concerns about AI threatening their jobs, but the study indicates that the fear might not be justified.
Pointer·2ygptscript-ai/gptscript: Develop LLM Apps in Natural Language
GPTScript is a scripting language that allows developers to automate their interactions with OpenAI's Large Language Model (LLM). It offers a natural language programming experience and supports mixing natural language prompts with traditional scripts. GPTScript can be used for various tasks like planning a vacation, editing files, running SQL queries, and building applications.
Community Picks·2yCrafting Maintainable Python Applications with Domain-Driven Design and Clean Architecture
Explore the intricacies of crafting maintainable Python applications using Domain-Driven Design (DDD) and Clean Architecture. Learn about the core principles of DDD and the concentric circles of Clean Architecture. Implement practical techniques like dependency injection, layered structure, value objects and entities, domain events, repositories, and testing strategies. Build robust and maintainable Python applications that are easy to understand, maintain, and test.
TestDriven.io·2yDjango REST Framework: Pros and Cons
Django REST Framework is a powerful open-source framework for building RESTful APIs with features like routing, request/response handling, authorization/authentication, serialization, and more. Pros include ease of use, maturity, security, and a huge ecosystem, while cons include a learning curve, potential performance issues, separation of concerns, and lack of new features. Alternatives like Django Ninja, Django Tastypie, FastAPI, and Flask are also suggested.
freeCodeCamp·2yEntering into the World of Concurrency with Python
This tutorial explains the concepts of concurrency, multi-threading, multi-processing, and asynchronous programming in Python. It covers the differences between threads and processes, the benefits of multi-threading and multi-processing, and how asynchronous programming allows tasks to be executed separately from the main program flow.
