Discover the possibilities of Python programming — from machine learning and ethical hacking to web scraping and automation. Learn how to set up your environment, deploy to a server, and turn scripts into real-world software.
Learn how to programmatically track your brand's AI visibility across ChatGPT, Gemini, Claude, Perplexity, and Google AI using Python and the RankBits API. Full code included.
Learn how to automate Excel reports with Python using openpyxl. Create professional spreadsheets with charts, formulas, conditional formatting, and styled dashboards — all from Python. Complete real-world sales report project included.
Learn how to build a cross-platform website blocker in Python that modifies the hosts file to block distracting sites. Includes scheduling with cron and Task Scheduler. Pure standard library — no pip install needed.
Learn how to build a Python tool that scans job postings, detects in-demand tech skills using regex, ranks them by demand, and visualizes the results with matplotlib. Practical, extensible, and ready for real datasets.
Learn how to build a Python tool that scans directories, finds duplicate files by SHA256 hash, and calculates reclaimable disk space. Features Rich progress bars, tables, and a clean CLI experience.
Build a real MCP server and client in Python using FastMCP. Implement a Todo Manager with tools, resources, and prompts, test it programmatically, then wire it into Claude Desktop, VS Code, and Cursor. Includes simple production deployment tips.
Explore the top 3 AI code generators—CodeConvert, ZZZ Code AI, and CodingFleet. Compare their features, pros, and cons to find the best tool for your coding needs, with CodingFleet leading for its advanced features and versatility.
Learn to build your own Python-based grep tool in this concise guide, perfect for bug hunting and pen-testing. Master text pattern searches within files and streams, saving time and effort in your development tasks.
Master Python's Faker library to generate and manage fake user data. Ideal for privacy protection and software testing, this tutorial covers creating a versatile program for realistic data generation, including saving options in CSV or TXT formats.
Learn how to secure your Python applications with TLS/SSL certificates. Understand the importance of these cryptographic protocols, and grasp how to integrate SSL certificates into Python code using requests library.
Learn how to make plots with Python and matplotlib by checking texts for their word frequency distributions.
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