Python Tutorial

Explore Python's match-case: a guide on its syntax, applications in data science, ML, and a comparative analysis with traditional switch-case.

Discover what hashmaps are and how they are implemented in Python through dictionaries.

Follow our step-by-step guide on how to integrate Slack with Python, and unlock the ability to automatically send Slack messages that drive insight!

Find out how to create a histogram chart using the Seaborn library in Python.

Learn how to connect and analyze MongoDB databases in Python.

Explore the basics of Shiny for Python so you can start making interactive dashboards and web applications with this new library quickly!

Learn how to use the ydata-profiling library in Python to generate detailed reports for datasets with many features.

Learn coding best practices to improve your programming skills. Explore coding guidelines for collaboration, code structure, efficiency, and more.

Explore various types of data plots—from the most common to advanced and unconventional ones—what they show, when to use them, when to avoid them, and how to create and customize them in Python.

Discover how Textacy, a Python library, simplifies text data preprocessing for machine learning. Learn about its unique features like character normalization and data masking, and see how it compares to other libraries like NLTK and spaCy.

This tutorial provides an introduction to causal AI using the DoWhy library in Python. It discusses fundamental principles and offers code examples.

Learn how OpenAI's new Function Calling capability enables GPT models to generate structured JSON output, resolving common dev issues caused by irregular outputs.