Все для школьников, студентов, учащихся, преподавателей и родителей - Обучалка - Obuchalka.org

Python Programming, Handbook For Robotics Development, Greeny T.

   In the rapidly evolving landscape of robotics, one programming language has emerged as a dominant force: Python. Python's rise to prominence in robotics can be attributed to a confluence of factors that make it exceptionally well-suited for the challenges and complexities of robot programming. Let's delve into the reasons why Python has become the lingua franca of modern robotics.

Python Programming for Mathematics, Guillod J., 2025.

   Python Programming for Mathematics focuses on the practical use of the Python language in a range of different areas of mathematics. Through 55 exercises of increasing difficulty, the book provides an expansive overview of the power of using programming to solve complex mathematical problems.
This book is intended for undergraduate and graduate students who already have learned the basics of Python programming and would like to learn how to apply that programming skills in mathematics.

Python Polars, The Definitive Guide, Janssens J., Nieuwdorp T., 2024.

   Polars is a high-performance data processing package designed for efficient handling of large-scale datasets. What started as a side project by Ritchie Vink to learn Rust and to better understand data processing has now grown into a popular package. Data scientists, data engineers, and software developers use it to perform data analysis, create data visualizations, and build data-intensive applications used in production.

Python Machine Learning By Example, Fourth Edition, Yuxi (Hayden) Liu, 2024.

   The fourth edition of Python Machine Learning by Example is a comprehensive guide for beginners, and experienced Machine Learning (ML) practitioners who want to learn more advanced techniques like multimodal modeling. This edition emphasizes best practices, providing invaluable insights for ML engineers, data scientists, and analysts.

Python Games from Zero to Proficiency, Intermediate, Felicia P., 2022.

   This book will show you how you can very quickly code in Python and create games. Python is a powerful programming language used in a wide range of industries and that you can use even if you have (or you are teaching with) computers with very low technical specifications.

Python for Large Language Models.
    
   Large Language Models (LLMs) have become a cornerstone of modern artificial intelligence (AI), offering unprecedented capabilities in understanding, generating, and interacting with human language. These models, powered by advanced machine learning techniques, have revolutionized industries ranging from customer service to software development, and from education to creative writing.
In this article, we will explore the fundamental aspects of LLMs, delving into their definition, their applications in development, and an overview of some of the most popular models, including GPT and BERT. By the end, you’ll have a comprehensive understanding of why LLMs are so impactful and how they are shaping the future of AI.

Python for Computer Vision, Unlocking Image Processing and Machine Learning with Python, Jackson M.
    
Фрагмент из книги.
I mage segmentation is a crucial process in computer vision and image analysis that involves dividing an image into distinct, meaningful regions or segments. This technique is fundamental for simplifying and analyzing complex visual data, allowing for the extraction of valuable information from images. By segmenting an image, one can isolate and identify objects, boundaries, and features, which is essential for various applications such as object recognition, medical imaging, autonomous driving, and scene understanding.

Python Cookbook, Everyone can cook delicious recipes, Abella H.
    
   Learn to cook delicious and fun recipes in Python, codes that will help you grow in the programming environment using this wonderful language.
Some of the recipes you will create will be related to: Algorithms, classes, flow control, functions, design patterns, regular expressions, working with databases, and many more things.
Learning these recipes will give you a lot of confidence when you are creating great programs, and you will have more understanding when reading live code.