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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.
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.
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.
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)
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
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.
Iterators and generators are powerful abstractions within Python that have a variety of uses. This article reviews how they are defined, how they are related, and how they can help programmers work in an elegant and flexible way with data structures and data streams of an unknown or infinite size.
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.
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.