Python

The rise of Large Language Models (LLMs) has brought about a significant shift in technology, empowering developers to create applications…

Setting Python Development Environment with VScode and Docker

the data loading library for python

Benchmarks & Tips for Big Data, Hadoop, AWS, Google Cloud, PostgreSQL, Spark, Python & More...

The easiest way to build scalable LLM-powered applications, which get cheaper and faster over time. - monkeypatch/monkeypatch.py: The easiest way to build scalable LLM-powered applications, which g...

So you are interested in testing, do you? Are you not already doing it? That’s the right time to start then!

An open source technical publishing system for creating beautiful articles, websites, blogs, books, slides, and more. Supports Python, R, Julia, and JavaScript.

A next-generation Python notebook: explore data, build tools, deploy apps! - marimo-team/marimo: A next-generation Python notebook: explore data, build tools, deploy apps!

Rich is a Python library for rich text and beautiful formatting in the terminal. - Textualize/rich: Rich is a Python library for rich text and beautiful formatting in the terminal.

What are Abstract Classes? When are they useful? When should you use them? Let's take a look!

Vizro is a toolkit for creating modular data visualization applications.

An example driven guide to setting up and building a python package using Setuptools together with pyproject.toml.

A Python package for easy multiprocessing, but faster than multiprocessing - sybrenjansen/mpire: A Python package for easy multiprocessing, but faster than multiprocessing

In this how-to tutorial, you'll learn different ways of catching multiple Python exceptions. You'll review the standard way of using a tuple in the except clause, but also expand your knowledge by exploring some other techniques, such as suppressing exceptions and using exception groups.

In this tutorial, you'll find the right tools to help you download files from URLs with Python and manage the data retrieval process. You'll cover data streaming, thread pools, and asynchronous downloads.

Name a better pairing, I'll wait.

Algorithmic Trading in Python with Machine Learning - edtechre/pybroker: Algorithmic Trading in Python with Machine Learning

This article explains how to add a new item to a dictionary (dict) or update the value of an existing item in Python. It is also possible to merge multiple dictionaries.Add or update an item in the dictionary by specifying a key Merge multiple dictionaries: update(), {}, dict(), |, |= Add or update ...

In this tutorial, you'll learn what iterators and iterables are in Python. You'll learn how they differ and when to use them in your code. You'll also learn how to create your own iterators and iterables to make data processing more efficient.

PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for visual analysis - Kanaries/pygwalker: PyGWalker: Turn your pandas dataframe into a Tableau-style User Interface for vis...

Styling matplotlib made easy. Contribute to lgienapp/aquarel development by creating an account on GitHub.

Data classes are one of the new features of Python 3.7. With data classes you do not have to write boilerplate code to get proper initialization, representation and comparisons for your objects.

This tutorial provides an overview of how to split a Python list into chunks. You'll learn several ways of breaking a list into smaller pieces using the standard library, third-party libraries, and custom code. You'll also split multidimensional data to synthesize an image with parallel processing.

Python package for statistical data animations . Contribute to julkaar9/pynimate development by creating an account on GitHub.

Use documentation and asks questions directly with DocsGPT - GitHub - arc53/docsgpt: Use documentation and asks questions directly with DocsGPT

Understand your program without hurting the performance

Logging is one of the best ways to keep track of what is going on inside your code while it is running. Python comes with a very powerful logging library but with great power… things start to get a bit complicated.

Is it a copy or a view? Should I merge or join? And what the heck is MultiIndex?