Kategoria BISAC: Computers >> Languages - Python

This book is designed to help you master API development using the Django REST Framework (DRF). Written for seasoned developers, this book offers practical, hands-on guidance to becoming an expert in using DRF, providing in-depth coverage of the framework's features and best practices and their application in API development.

The book will introduce you to and enable you to grasp advanced DRF topics such as authentication, permissions, throttling, caching, API versioning, and schema generation. Each chapter of the book focuses on a specific topic and introduces a standalone Django...

The book is a gentle introduction to Python using arithmetic, and vice versa, with a historical perspective encompassing programming languages within the wider process of development of mathematical notation. The revisitation of typical algorithms that are the core of elementary mathematical knowledge helps to grasp their essence and to clarify some assumptions that are often taken for granted but are very profound and of a very general nature.

The first mathematician to define a systematic system for generating numbers was Archimedes of Syracuse in the third century B.C. The...

Advanced Forecasting with Python, Second Edition, is a comprehensive and practical guide to mastering modern forecasting techniques using Python. Designed for data scientists, analysts, and machine learning practitioners, this updated edition bridges the gap between classical forecasting models and cutting-edge, AI-powered techniques that are reshaping the field.

The book begins with foundational models like AR, MA, ARIMA, and SARIMA, offering intuitive and mathematical explanations alongside hands-on Python implementations. It then expands into multivariate models (VAR, VARMAX),...

Dive into computer vision, natural language processing, and recommender systems by building end-to-end projects in PyTorch — one of the most widely used deep learning frameworks among researchers and engineers worldwide. This book takes you from the fundamentals to complete, hands-on projects, giving you the confidence to start creating your own AI solutions.
The book begins with a chapter on the fundamentals of machine learning, laying the groundwork by introducing key aspects of an ML project such as data preprocessing, feature engineering, model training, and evaluation, along...