Tag: Python

Data Mining with Python Theory, Application, and Case Studies


Free Download Data Mining with Python: Theory, Application, and Case Studies (Chapman & Hall/CRC The Python Series) by Di Wu
English | April 10, 2024 | ISBN: 1032612649, 1032598905 | True EPUB | 414 pages | 8.9 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.

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Data Analytics for Discourse Analysis with Python


Free Download Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk
English | 2024 | ISBN: 1032419016 | 190 Pages | EPUB (True) | 2.3 MB
The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients’ concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. Each chapter follows a consistent structure, offering a streamlined walkthrough of a key technique, an example case study, and annotated Python code. The volume shows how techniques such as simulations, classification, clustering, and time series analysis can address such issues as incomplete data transcripts, therapist-client (a)synchrony, and client prognosis, offering inspiration for research, training, and practitioner self-reflection in psychotherapy and other discourse contexts.

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Building AI-Intensive Python Applications


Free Download Building AI-Intensive Python Applications: Create intelligent apps with LLMs and vector databases
English | 2024 | ISBN: 1836207255 | 256 Pages | EPUB (True) | 7 MB
The era of generative AI is upon us, and this book serves as a roadmap to harness its full potential. With its help, you’ll learn the core components of the AI stack: large language models (LLMs), vector databases, and Python frameworks, and see how these technologies work together to create intelligent applications.

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An Introduction to R and Python for Data Analysis


Free Download An Introduction to R and Python for Data Analysis: A Side-By-Side Approach
English | 2023 | ISBN: 1032203250 | 246 Pages | EPUB (True) | 13 MB
An Introduction to R and Python for Data Analysis helps teach students to code in both R and Python simultaneously. As both R and Python can be used in similar manners, it is useful and efficient to learn both at the same time, helping lecturers and students to teach and learn more, save time, whilst reinforcing the shared concepts and differences of the systems. This tandem learning is highly useful for students, helping them to become literate in both languages, and develop skills which will be handy after their studies. This book presumes no prior experience with computing, and is intended to be used by students from a variety of backgrounds. The side-by-side formatting of this book helps introductory graduate students quickly grasp the basics of R and Python, with the exercises providing helping them to teach themselves the skills they will need upon the completion of their course, as employers now ask for competency in both R and Python. Teachers and lecturers will also find this book useful in their teaching, providing a singular work to help ensure their students are well trained in both computer languages. All data for exercises can be found here:

https://github.com/tbrown122387/r_and_python_book/tree/master/data

. Instructors can access the solutions manual via the book’s website.

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A Simple Introduction to Python


Free Download A Simple Introduction to Python
English | 2024 | ISBN: 1032750294 | 113 Pages | EPUB (True) | 4 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.

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