Coding with Python

I wrote a book! Learn how to use AI to code better Python!!

✨ "A Quick Guide to Coding with AI" ✨ is your guide to harnessing the full potential of Generative AI in software development. Check it out now at 40% off

Projects

Building Powerful Command-Line Tools with Python

Learn how to build efficient and user-friendly command-line applications using Python. This tutorial will guide you through every step, from understanding basic concepts to writing practical scripts. …

Building Powerful Data Analysis Scripts with Python

Learn how to transform raw data into actionable insights using Python. This comprehensive guide walks you through building a basic data analysis script, covering everything from importing libraries to …

Building Your First GUI Application with Tkinter

This tutorial will guide you through the process of building a simple graphical user interface (GUI) application using Python’s Tkinter library. You’ll learn how to create windows, buttons, and labels …

Building Your First Web App with Python

This tutorial will guide you through the process of building a simple web application using Python, Flask, and HTML. You’ll learn about the core components, how they work together, and practical steps …

Creating Powerful Data Analysis Tools with Python

Learn how to build your own custom data analysis tools using Python, empowering you to uncover hidden patterns and make informed decisions. …

Mastering Python

Learn how a capstone project can solidify your Python knowledge and build a portfolio-worthy application. …

Web Scraping with Python

This tutorial introduces web scraping, a powerful technique for automatically collecting data from websites. We’ll explore its applications, essential libraries, and build a simple scraper to demonstr …

Coding with AI

AI Is Changing Software Development. This Is How Pros Use It.

Written for working developers, Coding with AI goes beyond hype to show how AI fits into real production workflows. Learn how to integrate AI into Python projects, avoid hallucinations, refactor safely, generate tests and docs, and reclaim hours of development time—using techniques tested in real-world projects.

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