
Create and host a Python Discord bot on AWS Lambda for free. Learn to use Discord's Interaction HTTP endpoints, Flask, and AWS CDK for a scalable and cost-effective solution.

Learn to create a web application visualizing SpaceX launch data using Python, Flask, HTML, and CSS. Covers API integration, data display, and deployment for global access.

Learn to deploy a Flask application on Ubuntu 18 VPS using a virtual environment, covering setup, configuration, and hosting best practices for Python web applications.

Learn to create and use anonymous Lambda functions in Python, exploring their syntax, arguments, and comparison with standard functions.

Learn to define search patterns and manipulate text using Python's regular expressions module, enhancing your ability to extract and process information from various data sources.

Discover Beets, a CLI tool for effortlessly identifying and tagging music with accurate metadata. Learn installation methods, troubleshooting tips, and how to use Beets to organize your music library.

Discover AWS CloudShell: a virtualized environment with pre-installed tools like AWS CLI, PowerShell, Python, and Node.js. Explore its features and learn how it inherits your AWS Console permissions.

Learn to implement AWS Step Functions using Lambda and PowerShell, covering task states, activity tasks, and various state types for efficient workflow management in cloud environments.

Integrate self-hosted Windmill and Baserow using Python to build applications with low-code tools and database storage, leveraging REST APIs for data management.

Learn to build a secure "Where Have I Been" map application using Python and Auth0, covering API endpoints, data handling, and deployment in this step-by-step tutorial.

Learn to import CSV data into SQLite databases efficiently using Python, with practical examples for financial data management in banking contexts.

Learn to implement and utilize Python 3.7's dataclasses feature, enhancing code efficiency with automatic special method generation for user-defined classes.

Extract company names from PDFs and automate research using Python, regex, and web browsing. Ideal for beginners looking to streamline data extraction and analysis tasks.

Explore Python's @cache and lru_cache decorators to optimize performance, reduce computations, and save resources with practical examples and comparisons.

Optimize Python code by replacing for-loops with vectorization techniques, improving efficiency and speed while maintaining readability and functionality.

Learn to automate developer workflows using Python's subprocess module. Build a CLI tool to create directories, initialize Git, set up virtual environments, and manage tasks efficiently.

Learn Python unit testing techniques, mock print outputs, and update PyPI packages to enhance your development skills and package management abilities.

Learn to implement weekly rolling sums using Python's standard library, exploring itertools' groupby, enumerate, and isocalendar. Enhance your data manipulation skills without relying on external libraries like pandas.

Explore techniques for refactoring monolithic Python functions into smaller, modular, and testable units. Learn mental models for writing maintainable and predictable code.

Learn to create, structure, and publish a Python package on PyPI, covering setup.py, distribution types, and the upload process in under 15 minutes.

Build a CLI productivity scoreboard for TaskWarrior using Python's standard libraries. Learn data manipulation techniques without external dependencies like pandas or numpy.