Learn the basics of Python. These tutorials are for Python beginners. so even if you have no prior knowledge of Python, you won’t face any difficulty understanding these tutorials.

Python Tutorial - learn Python from scratch with 270+ Python tutorials for beginners & experienced. Explore Python features, syntax, python applications, python use-cases, python architecture, python projects and many more.

Python students in humanities, NRU HSE, 2018-2019

This article is a step-by-step guide to assembling and publishing a small, open-source Python package; topics covered include directory structure, basic unit tests, basic continuous integration setup, and publication to a repository.

Python's built-in libraries include powerful tools for retrieving and operating over abstract syntax trees. This article provides an overview of how to use these features to analyze and transform Python code programmatically.

IT employee management application. The project uses almost all the knowledge from the 2 semesters of the bootcamp introducing to Python programming. Project done independently. I only helped myself with the OFFICIAL PYTHON 3.12.6 DOCUMENTATION.

Python Basic to Core

An application that simulates the future of the PlayStation PS store for gamers. The application was written in Python

In this repo, there are lecture notes of Global AI Hub - Python Training.

Solutions to the practice exercises, coding challenges, and other problems on HackerRank! www.hackerrank.com

Native syntactic support for type annotations was introduced in Python 3. This article provides an overview of this feature, reviews how it can be used to document information about expressions and functions in a structured way, and illustrates some of the advantages of leveraging it for applicable use cases.

Multiprocessing can be an effective way to speed up a time-consuming workflow via parallelization. This article illustrates how multiprocessing can be utilized in a concise way when implementing MapReduce-like workflows.

This repository consist sample programs to learn and understand core concepts

A brief course intended to introduce non-programmers to python and data wrangling. Also, demonstration of network optimization, pdf creation in Python, and a simple Monte Carlo simulation.

While built-in string methods and regular expressions have limitations, they can be leveraged in creative ways to implement scalable workflows that process and analyze text data. This article explores these tools and introduces a few useful peripheral techniques within the context of a use case involving a large text data corpus.

Landing/redirect page for python.supply, where you can use Python as a platform to learn foundational concepts and practical techniques in computer science, programming, and software engineering.

🐍 Kurze Einführung zu Python für die Vorlesung Nonlinear Optimization (Universität Mannheim, FSS 2020)

Python comprehensions are a powerful language feature that can greatly improve the productivity of a programmer and the readability of code. This article explores how comprehensions can be used to build concise solutions for problems that require generating various kinds of combinations of all the elements from a finite (or infinite) set.

This repository contains a collection of Python exercises I've completed for the first part of a course on Data Science and Artifical Intelligence ('Diplomatura en Ciencias de Datos e Inteligencia Artificial' de la Universidad de San Martín)