Python Tutorial

Discover how frozensets bring immutability and hashability to Python collections. Learn when to choose frozensets over regular sets.

Accuracy isn't enough. Learn the difference between precision and recall, understand the trade-off, and choose the right metric for your model.

Master Python shebangs to build executable scripts, maintain environment portability, and apply industry-standard best practices.

Master Gurobi optimization from setup to real-world applications. Learn to build models, configure solvers, and tackle linear, integer, and nonlinear programming problems efficiently.

Master Python's map() function with practical examples. Learn syntax, lazy evaluation, and when to use map() vs. list comprehensions for memory-efficient code.

Learn how Python’s REPL lets you run code interactively for testing, debugging, and learning. Discover essential commands, customization options, and advanced alternatives.

Speed up your code with Python async programming. A step-by-step guide to asyncio, concurrency, efficient HTTP requests, and database integration.

Learn how to use Polars in Python in this beginner tutorial.

Learn how Python’s None object represents the absence of a value. Discover its internal design, common use cases, best practices, and how it compares with null in other languages.

Learn how to perform algebra, calculus, equation solving, and even code generation using exact symbolic computation instead of numerical approximations.

Learn how linear programming transforms complex decision-making into solvable mathematical problems. Discover optimization techniques, solution algorithms, and practical Python implementations for resource allocation, scheduling, and planning challenges.

Learn when and how to use Python's reduce(). Includes practical examples and best practices.