Tag: HallCRC

Free Download Python Packages (Chapman & Hall/CRC The Python Series) by Tomas Beuzen, Tiffany Timbers
English | April 21, 2022 | ISBN: 1032029447 | 222 pages | EPUB | 18 Mb
Python Packages introduces Python packaging at an introductory and practical level that’s suitable for those with no previous packaging experience. Despite this, the text builds up to advanced topics such as automated testing, creating documentation, versioning and updating a package, and implementing continuous integration and deployment. Covering the entire Python packaging life cycle, this essential guide takes readers from package creation all the way to effective maintenance and updating.

Free Download Introduction to Python for Humanists (Chapman & Hall/CRC The Python Series) by William Mattingly
English | July 26, 2023 | ISBN: 1032378379 | 362 pages | PDF | 34 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.

Free Download Data Science (Chapman & Hall/CRC Data Science Series) by Tiffany Timbers, Trevor Campbell, Melissa Lee
English | August 22, 2024 | ISBN: 103257223X | 452 pages | MOBI | 23 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.

Free Download A Simple Introduction to Python (Chapman & Hall/CRC The Python Series) by Stephen Lynch
English | June 11, 2024 | ISBN: 1032750294 | 92 pages | MOBI | 5.71 Mb
A Simple Introduction to Python is aimed at pre-university students and complete novices to programming. The whole book has been created using Jupyter notebooks. After introducing Python as a powerful calculator, simple programming constructs are covered, and the NumPy, MatDescriptionLib and SymPy modules (libraries) are introduced. Python is then used for Mathematics, Cryptography, Artificial Intelligence, Data Science and Object Oriented Programming.

Free Download Tidy Finance with Python (Chapman & Hall/CRC The Python Series) by Christoph Scheuch, Stefan Voigt, Christoph Frey
English | June 22, 2024 | ISBN: 1032676418 | 262 pages | MOBI | 3.90 Mb
This textbook shows how to bring theoretical concepts from finance and econometrics to the data. Focusing on coding and data analysis with Python, we show how to conduct research in empirical finance from scratch. We start by introducing the concepts of tidy data and coding principles using pandas, numpy, and Descriptionnine. Code is provided to prepare common open-source and proprietary financial data sources (CRSP, Compustat, Mergent FISD, TRACE) and organize them in a database. We reuse these data in all the subsequent chapters, which we keep as self-contained as possible. The empirical applications range from key concepts of empirical asset pricing (beta estimation, portfolio sorts, performance analysis, Fama-French factors) to modeling and machine learning applications (fixed effects estimation, clustering standard errors, difference-in-difference estimators, ridge regression, Lasso, Elastic net, random forests, neural networks) and portfolio optimization techniques.

Free Download Introduction to Python (Chapman & Hall/CRC The Python Series) by David Báez-López, David Alfredo Báez Villegas
English | July 2, 2024 | ISBN: 1032119101 | 452 pages | MOBI | 8.00 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.

Free Download Data Mining with Python (Chapman & Hall/CRC The Python Series) by Di Wu
English | April 10, 2024 | ISBN: 1032598905 | 414 pages | MOBI | 13 Mb
Data is everywhere and it’s growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.

Free Download Bayesian Networks (Chapman & Hall/CRC Texts in Statistical Science) by Marco Scutari, Jean-Baptiste Denis
English | July 29, 2021 | ISBN: 0367366517 | 274 pages | MOBI | 19 Mb
Bayesian Networks: With Examples in R, Second Edition introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples illustrate each step of the modelling process and discuss side by side the underlying theory and its application using R code. The examples start from the simplest notions and gradually increase in complexity. In particular, this new edition contains significant new material on topics from modern machine-learning practice: dynamic networks, networks with heterogeneous variables, and model validation.

Free Download Big Data Analytics (Chapman & Hall/CRC Data Science Series) by Ulrich Matter
English | September 4, 2023 | ISBN: 1032458143 | 328 pages | PDF | 35 Mb
Successfully navigating the data-driven economy presupposes a certain understanding of the technologies and methods to gain insights from Big Data. This book aims to help data science practitioners to successfully manage the transition to Big Data.

Free Download Machine Learning, Animated
by Liu, Mark;
English | 2024 | ISBN: 1032462140 | 436 pages | True EPUB | 39.4 MB