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.

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.

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.

Proyectos realizados en la materia de Fundamentos de Programación Orientada a Objetos, del 5to cuatrimestre de la carrera de Ingeniería en Sistemas Computacionales de la Universidad Politécnica de Querétaro | ENERO-ABRIL 2023

Python & Machine Learning introduction for interns & MIASHS students.

My codes from Introduction to Computer Science and Programming Using Python edX course

Python Basic to Core

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)

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

This repository contains a collection of Python exercises which I've done for the 4-month UNSAM course on Python Programming. These exercises cover a range of topics and difficulty levels, from basic syntax and data structures to more advanced concepts like algorithmic problem solving.

Python students in humanities, NRU HSE, 2018-2019

🐍 Kurze Einführung zu Python3 für die Vorlesung Nonlinear Optimization (Universität Mannheim, FSS 2020)

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.

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.

Both built-in and user-defined data structures in Python can be either mutable or immutable. This article explains why Python makes this distinction for built-in data structures and reviews some use cases within which you may want to define an immutable data structure of your own.

Python offers a rich set of APIs that make it possible to build wrappers for foreign functions written in another language (such as C/C++) and compiled into shared libraries. This article introduces some basic techniques that will allow you to start using shared libraries in your projects.

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 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 metaclasses are how classes are created, and by defining your own metaclasses you can guide and constrain code contributors in a complex codebase. This article reviews how metaclasses can be employed to implement static checking of user-defined derived classes.