13 Ways To Speedup Python Loops | Nirmalya Ghosh
Create a Copilot inside your notebooks that can chat with graphs, Mastering Pydantic - A Guide for Python Developers, Getting Started with Requests and with some more interesting articles
13 Ways To Speedup Python Loops
The right tool for the right job always helps you a lot and speeds up things. We can use the right tool if we know if that exists and where to use it. Nirmalya Ghosh covered some ways like where to use map & etc to speed up Python loops.
# Nirmalya Ghosh
Create a Copilot inside your notebooks that can chat with graphs, write code, and more
If you want to create your own Copilot inside your notebooks then you should check this amazing article by Fareed Khan. It's made using Google’s Gemini MultiModel.
# Fareed Khan
Mastering Pydantic - A Guide for Python Developers
For small applications, data types are not that important but as application scale data types and validation help a lot. Pydantic is the best shot for that in Python. In this article, Nuno Bispo gave a good starting point for it.
# Nuno Bispo
10 Hard Python Projects For Intermediates To Boost Your Python Skills & Portfolio
As a fresher, it’s good to build projects not just your assignment projects that will give you ideas. If you are looking for some ideas Alexander Obidiegwu shared some here. Check them out.
# Alexander Obidiegwu
Getting Started with Requests
This article is a good place to get an idea about Requests which is a popular and user-friendly library for making HTTP requests.
# Aman Clement
Python — Using reduce() Method
Python has a lot of useful built-in libraries that offer a wide range of functionalities. It is important to have a basic understanding of these standard libraries and what they can do. In this article, Ihor Lukianov explained reduce method with great examples.