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.

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

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.

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.

Python Basic to Core

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 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.

Python-Beginners training sessions for the students of PSA (Pakistan Students Association) Koblenz, Germany.

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)

This article covers some background on higher-order functions in Python, presents an overview of how Python decorators are defined and used, and illustrates their utility via a few use cases.

Python's extensive support for operator overloading can help you greatly reduce the conceptual complexity of your library or framework, allowing programmers who must use it to leverage the extensive knowledge and skills they already possess.

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

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.

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