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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 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.

Python Asynchronous Web Development with asyncio, Millie K., 2024.
    
   Unleash the Power of Asynchronous Web Development: Build Blazing-Fast, Responsive Web Apps with Python and asyncio.
In today's fast-paced digital world, users expect web applications to be instantaneous and engaging. Traditional web development approaches often struggle to keep up, leading to sluggish performance and frustrated users. But there's a solution: Python Asynchronous Web Development with asyncio.
This book is your passport to building next-generation web applications that can handle heavy traffic with ease. We'll equip you with the knowledge and skills to leverage asyncio, a revolutionary library that allows your applications to process multiple requests concurrently. The result? Web applications that feel lightning-fast, keeping users engaged and coming back for more.

Python для сетевых инженеров, Samoylenko N., 2023.
    
   В книге рассматриваются основы Python с примерами и заданиями построенными на сетевой тематике.
С одной стороны, книга достаточно базовая, чтобы её мог одолеть любой желающий, а с другой стороны, в книге рассматриваются все основные темы, которые позволят дальше расти самостоятельно. Книга не ставит своей целью глубокое рассмотрение Python. Задача книги - объяснить понятным языком основы Python и дать понимание необходимых инструментов для его практического использования. Всё, что рассматривается в книге, ориентировано на сетевое оборудование и работу с ним. Это даёт возможность сразу использовать в работе сетевого инженера то, что было изучено на курсе. Все примеры показываются на примере оборудования Cisco, но, конечно же, они применимы и для любого другого оборудования.

Prototyping Python Dashboards for Scientists and Engineers, Houlahan P., 2024.
    
   This book is intended for those who work with data and also have the need to share insights regarding data. An essential aspect is a desire to help their end user “lift the veil" and understand underlying data features such as trends and patterns. Large organizations can have teams of developers and experts to achieve these goals, but many who could benefit from such capability (e.g., college faculty and graduate students) work with minimal resources and need to take a jack-of-all-trades approach to building applications; they need to solve the data access, data importation, data display, analytical tool build, server operating system management, and deployment problems (if your dashboard is wildly successful, you will need a scalable solution!). All these must be done in a realistic manner. Some corners can be cut - there are fewer deployment concerns if the project is behind a firewall or if the users are all experts, and primitive graphics can work if there are deadline constraints. Regardless, there is a daunting task and skillset list the graduate or faculty member must master.