Programming Tutorials

Revisit Python modules, packages, the import system, pip, uv, and READMEs in this wrap-up quiz for the Modules and Packages path.

Test what you've learned in the Exceptions, Logging, and Debugging path. Practice handling errors, raising exceptions, and using logging.

Practice creating statistical plots in Python with seaborn. Compare the classic functional interface with the newer objects interface.

Test your understanding of Python's built-in data structures: strings, lists, tuples, dictionaries, sets, sorting, and bytes in 20 questions.

Test your understanding of Pythonic code: the Zen of Python, PEP 8, code quality, type checking, and documentation in 20 questions.

Test your Python OOP skills with this wrap-up quiz covering classes, inheritance, magic methods, properties, mixins, and SOLID design principles.

Test your skills on Python virtual environments, pyenv version management, and choosing a great programming font for your dev setup.

Test what you learned about Python file handling, pathlib, context managers, and reading or writing WAV files in this learning path wrap-up quiz.

Test your understanding of Python functions and scopes: parameters, arguments, return values, inner functions, namespaces, and the LEGB rule.

Test your understanding of Python I/O and string formatting: input(), print(), stripping methods, the format mini-language, and f-strings.

Test your understanding of Python testing with unittest, pytest, mock, code quality tools, and CI with GitHub Actions in 20 questions.

Test what you know about the Model Context Protocol by reviewing MCP servers, clients, tools, resources, and prompts in Python.

Test your DevOps with Python skills: running scripts, managing pip dependencies, GitHub Actions CI/CD, and logging in 16 questions.

Test your understanding of Python control flow: conditional statements, Boolean operators, for and while loops, break, continue, and nested loops.

Test your data science core skills in Python, including CSV and JSON file handling, pandas DataFrames, and NumPy arrays.

Revisit Requests, Beautiful Soup, Scrapy, and Selenium in this wrap-up quiz covering the Python Web Scraping learning path.

How I Built a Bot That Earns Money by Answering Other Bots I discovered something wild: what if bots could pay each other for services? I b

Google search results are useful for many products and workflows: SEO tools, keyword research, content monitoring, market research, AI agents, and ran

I've been building SHARD — an open-source autonomous AI SIEM — for the past few months. After 25 security audits and 250+ bug fixes, here's what I lea

Picture this: you wire up an LLM to query your database. It works great. Then your product team asks you to also pull data from Slack. Another custom