Использование модуля collections в Python 3
Автор выбрал COVID-19 Relief Fund для получения пожертвования в рамках программы Write for DOnations. В Python 3 имеется множество встроенных структур данных, включая…
Comment convertir des types de données sous Python 3
Au cours de tutoriel sur Python 3, nous aborderons la conversion de types de données, notamment les chiffres, les chaines de caractères, les tuples et les listes et nous vous proposerons des exemples avec lesquels vous pourrez vous familiariser avec différents cas d’utilisation.
K-Nearest Neighbors (KNN) in Python
URL: https://www.progressiverobot.com/k-nearest-neighbors-knn-in-python/ K-nearest neighbors (kNN) is a [supervised machine learning](/community/tutorials/supervised-machine-learning) technique that may be used to handle both classification and regression tasks. I regard KNN as an algorithm that originates from actual life. People tend to be impacted by the people around them. The Idea Behind K-Nearest Neighbours Algorithm Our behavior is shaped by the […]
Cómo preparar aplicaciones de Flask con Gunicorn y Nginx en Ubuntu 18.04
A través de esta guía, creará una aplicación de Python utilizando el microframework de Flask en Ubuntu 18.04. En la mayor parte de este artículo se abordarán la configuración del servidor de la aplicación Gunicorn y la forma de iniciar la aplicación y…
Data Parallelism: From Basics to Advanced Distributed Training
Understand data parallelism from basic concepts to advanced distributed training strategies in deep learning. Ideal for beginners and practitioners.
Add Authentication to Flask Apps with Flask-Login
Learn how to add secure authentication to your Flask app using Flask-Login. Implement user sessions, login pages, and access control with Python.
How To Use PostgreSQL with your Django Application on CentOS 7
Django is a flexible framework for quickly creating Python applications. By default, Django applications are configured to store data into a lightweight SQLite database file. While this works well under some loads, a more traditional DBMS can improve performance in…
Create and Implement Data Secure AI Workflows
Learn how to build secure AI workflows with added protections to prevent attacks, data leaks, and meet compliance requirements like HIPAA, COPPA, and GDPR.
Data Analysis and Visualization with pandas and Jupyter Notebook in Python 3
The Python pandas package is used for data manipulation and analysis, designed to let you work with labeled or relational data in an intuitive way. The pandas package offers spreadsheet functionality, but because you’re working with Python it is much faster and…
AI Automation Guide Build Reliable AI Workflows
Build reliable AI workflows with this AI automation. Explore structured pipelines, best practices to create scalable and consistent AI systems.
