Tag: Python

Free Download Bayesian Analysis with Python – Third Edition: A practical guide to probabilistic modeling by Osvaldo Martin, Christopher Fonnesbeck, Thomas Wiecki
English | January 31, 2024 | ISBN: 1805127160 | 394 pages | PDF, EPUB | 74 Mb
Learn the fundamentals of Bayesian modeling using state-of-the-art Python libraries, such as PyMC, ArviZ, Bambi, and more, guided by an experienced Bayesian modeler who contributes to these librariesKey Features

Free Download 410+ Python Interview Questions and Answers: MCQ Format Questions | Freshers to Experienced | Detailed Explanations by Manish Salunke
English | January 8, 2024 | ISBN: N/A | ASIN: B0CRVYFJYC | 415 pages | EPUB | 0.34 Mb
"410+ Python Interview Questions and Answers MCQ Format Questions Freshers to Experienced Detailed Explanations" is an essential guide for anyone aspiring to excel in Python interviews. Whether you’re a beginner, an intermediate learner, or an experienced professional, this book is tailored to enhance your understanding of Python in a practical and interactive way.

Free Download 390+ Python Interview Questions and Answers: MCQ Format Questions | Freshers to Experienced | Detailed Explanations by Manish Salunke
English | January 11, 2024 | ISBN: N/A | ASIN: B0CS67ZCXT | 401 pages | EPUB | 0.33 Mb
Are you gearing up for a Python programming interview? Or are you simply looking to test and expand your Python knowledge? Look no further! "390+ Python Interview Questions and Answers MCQ Format Questions Freshers to Experienced Detailed Explanations" is your go-to guide for preparing yourself for a wide range of Python-related questions.

Free Download Hands-On Machine Learning with Python – Real Projects
Published 9/2024
Created by TechJedi LLP
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 39 Lectures ( 3h 4m ) | Size: 2.2 GB

Free Download Python Programming: A Step-by-Step Guide to Learning the Language by C. K. Dhaliwal, Poonam Rana, T. P. S. Brar
English | August 2, 2024 | ISBN: 1032646551 | 234 pages | EPUB | 1.98 Mb
This book explores Python’s rich history, dynamic features, and its wide-ranging applications in web development, data science, and machine learning. From its installation process to interactive help, readers embark on a journey through Python’s unique characteristics and its distinctions from other programming languages. It lays a solid foundation for beginners and seasoned programmers alike.

Free Download Python Data Science. Niezbędne narzędzia do pracy z danymi, 2nd Edition by
Polish | 2022 | ISBN: 1098121211 | 588 pages | EPUB | 28 Mb
Python udostępnia pierwszorzędne narzędzia i biblioteki przeznaczone specjalnie do pracy z danymi. Zdobyły one uznanie wielu naukowców i ekspertów, ceniących ten język za wysoką jakość rozwiązań służących do wydobywania wiedzy z danych. Aby uzyskać najlepsze możliwe efekty, trzeba dobrze poznać zarówno poszczególne biblioteki Pythona, jak i zasady pracy z nimi.

Free Download Python Data Cleaning and Preparation Best Practices:
A practical guide to organizing and handling data from various sources and formats using Python
English | 2024 | ISBN: 1837634742 | 744 Pages | EPUB (True) | 13 MB

Free Download Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and MatDescriptionlib
English | 2024 | ASIN : B0D2CHYKQR | 485 Pages | PDF | 24 MB
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matDescriptionlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.

Free Download Introduction to Python Programming
English | 2019 | ISBN: 0815394373 | 461 Pages | EPUB (True) | 16 MB
Introduction to Python Programming is written for students who are beginners in the field of computer programming. This book presents an intuitive approach to the concepts of Python Programming for students. This book differs from traditional texts not only in its philosophy but also in its overall focus, level of activities, development of topics, and attention to programming details. The contents of the book are chosen with utmost care after analyzing the syllabus for Python course prescribed by various top universities in USA, Europe, and Asia. Since the prerequisite know-how varies significantly from student to student, the book’s overall overture addresses the challenges of teaching and learning of students which is fine-tuned by the authors’ experience with large sections of students. This book uses natural language expressions instead of the traditional shortened words of the programming world. This book has been written with the goal to provide students with a textbook that can be easily understood and to make a connection between what students are learning and how they may apply that knowledge.

Free Download Clean Code Principles And Patterns: Python Edition by Petri Silén
English | January 18, 2024 | ISBN: B0CSTKVLCY | 1260 pages | PDF | 11 Mb
Clean Code Principles and Patterns is one of the most comprehensive no-fluff guides for software developers to help them write clean code every day. The author, Petri Silén, has almost 30 years of industry experience in designing and implementing software, and now he puts all his knowledge gained during the years into this book. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code. The principles and patterns presented in the book are accompanied by realistic yet straightforward examples to help the reader understand them better. Examples are written in Python. Most of the examples are directly applicable to other programming languages, too. The reader should have basic knowledge of Python to get the full benefit from this book. The source code for all major examples presented in the book is available in a public GitHub repository.