Python
Learn Python fundamentals, virtual environments with pipenv, and gain practical skills through hands-on tutorials and a crash course for beginners.
Pipenv - Easily Manage Packages and Virtual Environments
Learn to efficiently manage Python packages and virtual environments with Pipenv. This tutorial covers installation, package management, environment setup, and advanced features for streamlined project development.
Deploying Machine Learning Models with Flask and Docker
Learn to deploy ML models as web services using Flask, manage environments with Pipenv, package with Docker, and deploy to AWS Beanstalk. Gain practical skills for putting models into production.
How to Make Your Python Jupyter Notebook Standalone
Learn to make Python Jupyter notebooks reproducible and standalone using a JupyterLab extension for dependency management. Explore resolution engines, handle various scenarios, and ensure project reusability in cloud environments.
Modern Python Developer's Toolkit
Learn essential tools and practices for Python development, including project setup, virtual environments, code formatting, testing, and documentation using VS Code, Docker, and popular libraries.
Zen of Python Dependency Management
Explore modern Python dependency management using pyproject.toml, comparing tools like Poetry, Hatch, and Pipenv. Learn to simplify project setup and ensure reliable, repeatable installations.
Difficulties of Python Code Development - Packages, Virtualenvs and Package Managers
Explore Python development essentials: packages, virtual environments, and package managers. Learn pros and cons, best practices, and tools for efficient code management and dependency resolution.
From Pip to Poetry - Python Ways of Packaging and Publishing
Explore Python package management evolution, from pip to poetry. Learn to create, share, and publish packages efficiently, choosing the best tool for your needs.
Setting Up a Development Environment on Steam Deck
Explore setting up a development environment on Steam Deck, including Python, Docker, and VS Code, with challenges and solutions for coding on this gaming device.