Tag: Python

Mastering Game Development with Python Practical AI for Game Developers Design Intelligent Games with Python!


Free Download Mastering Game Development with Python : Practical AI for Game Developers: Design Intelligent Games with Python! No Programming Experience Necessary. Build Smart Game Characters by Andrew M. Jones
English | September 2, 2024 | ISBN: N/A | ASIN: B0DFZ4G9BB | 105 pages | EPUB | 0.35 Mb
Unleash the Power of AI in Your Games: A Python Guide

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Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis


Free Download Machine Learning and Python for Human Behavior, Emotion, and Health Status Analysis by Md Zia Uddin
English | August 30, 2024 | ISBN: 1032544783 | True EPUB | 250 pages | 27.6 MB
This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field.

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Introduction to Python for Humanists


Free Download Introduction to Python for Humanists
English | 2023 | ISBN: 1032378379 | 362 Pages | EPUB (True) | 20 MB
This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose.

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Introduction to Python With Applications in Optimization, Image and Video Processing, and Machine Learning


Free Download Introduction to Python: With Applications in Optimization, Image and Video Processing, and Machine Learning (Chapman & Hall/CRC The Python Series) by David Báez-López, David Alfredo Báez Villegas
English | July 2, 2024 | ISBN: 1032117672, 1032119101 | True EPUB | 436 pages | 5.5 MB
Introduction to Python: with Applications in Optimization, Image and Video Processing, and Machine Learning is intended primarily for advanced undergraduate and graduate students in quantitative sciences such as mathematics, computer science, and engineering. In addition to this, the book is written in such a way that it can also serve as a self-contained handbook for professionals working in quantitative fields including finance, IT, and many other industries where programming is a useful or essential tool.

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Hypermodern Python Tooling, 8th Early Release


Free Download Hypermodern Python Tooling, 8th Early Release
English | 2024 | ISBN: 9781098139575 | 276 pages | MOBI | 2.10 Mb
Keeping up with the Python ecosystem can be daunting. Its developer tooling doesn’t provide the out-of-the-box experience native to languages like Rust and Go. When it comes to long-term project maintenance or collaborating with others, every Python project faces the same problem: how to build reliable workflows beyond local development while staying in sync with the evolving ecosystem.

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Foundations of Data Science with Python


Free Download Foundations of Data Science with Python (Chapman & Hall/CRC The Python Series) by John M. Shea
English | February 22, 2024 | ISBN: 1032346744, 1032350423 | True EPUB | 496 pages | 11.5 MB
Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.

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Ethics, Machine Learning, and Python in Geospatial Analysis


Free Download Ethics, Machine Learning, and Python in Geospatial Analysis by Mohammad Gouse Galety, Arul Kumar Natarajan, Tesfaye Fufa Gedefa
English | April 29, 2024 | ISBN: 8369363822 | 364 pages | MOBI | 4.66 Mb
In geospatial analysis, navigating the complexities of data interpretation and analysis presents a formidable challenge. Traditional methods often need to efficiently handle vast volumes of geospatial data while providing insightful and actionable results. Scholars and practitioners grapple with manual or rule-based approaches, hindering progress in understanding and addressing pressing issues such as climate change, urbanization, and resource management. Ethics, Machine Learning, and Python in Geospatial Analysis offers a solution to the challenges faced by leveraging the extensive library support and user-friendly interface of Python and machine learning. The book’s meticulously crafted chapters guide readers through the intricacies of Python programming and its application in geospatial analysis, from fundamental concepts to advanced techniques.

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Electrodynamics Tutorials with Python Simulations


Free Download Electrodynamics Tutorials with Python Simulations
English | 2024 | ISBN: 1032502312 | 295 Pages | EPUB (True) | 6 MB
This book provides an accessible introduction to intermediate-level electrodynamics with computa- tional approaches to complement a traditional mathematical treatment of the subject. It covers key topics in electrodynamics, such as electromagnetic fields, forces, potentials, and waves as well as Special Theory of Relativity.

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Data Science A First Introduction with Python


Free Download Data Science: A First Introduction with Python
English | 2024 | ISBN: 103257223X | 452 Pages | EPUB (True) | 17 MB
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.

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