Python for Data Analysis, 3rd Edition 
by Wes McKinney
Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the...
Price: $34.96 | Publisher: O'Reilly Media | Release: 2022
Practical AI for Healthcare Professionals
by Abhinav Suri
Artificial Intelligence (AI) is a buzzword in the healthcare sphere today. However, notions of what AI actually is and how it works are often not discussed. Furthermore, information on AI implementation is often tailored towards seasoned programmers rather than the healthcare professional/beginner coder. This book gives an introduction to practical AI in the medical sphere, focusing on real-life clinical pr...
Price: $41.49 | Publisher: Apress | Release: 2022
Essential Math for Data Science
by Thomas Nield
Master the math needed to excel in data science, machine learning, and statistics. In this book author Thomas Nield guides you through areas like calculus, probability, linear algebra, and statistics and how they apply to techniques like linear regression, logistic regression, and neural networks. Along the way you'll also gain practical insights into the state of data science and how to use those insi...
Price: $44.67 | Publisher: O'Reilly Media | Release: 2022
Python Data Science Handbook, 2nd Edition 
by Jake VanderPlas
Python is a first-class tool for many researchers, primarily because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the new edition of Python Data Science Handbook do you get them all - IPython, NumPy, pandas, Matplotlib, scikit-learn, and other related tools.Working scientists and data crunch...
Price: $56.99 | Publisher: O'Reilly Media | Release: 2022
Hands-on Machine Learning with Python
by Ashwin Pajankar, Aditya Joshi
Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning. It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who wil...
Price: $38.06 | Publisher: Apress | Release: 2022
by Yuli Vasiliev
Python is an ideal choice for accessing, manipulating, and gaining insights from data of all kinds. Python for Data Science introduces you to the Pythonic world of data analysis with a learn-by-doing approach rooted in practical examples and hands-on activities. You'll learn how to write Python code to obtain, transform, and analyze data, practicing state-of-the-art data processing techniques for use c...
Price: $22.74 | Publisher: No Starch Press | Release: 2022
Applying Math with Python, 2nd Edition
by Sam Morley
The updated edition of Applying Math with Python will help you solve complex problems in a wide variety of mathematical fields in simple and efficient ways. Old recipes have been revised for new libraries and several recipes have been added to demonstrate new tools such as JAX.You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's...
Price: $39.99 | Publisher: Packt Publishing | Release: 2022
by Yves Hilpisch
Nowadays, finance, mathematics, and programming are intrinsically linked. This book provides the relevant foundations of each discipline to give you the major tools you need to get started in the world of computational finance.Using an approach where mathematical concepts provide the common background against which financial ideas and programming techniques are learned, this practical guide teaches you the ...
Price: $29.96 | Publisher: O'Reilly Media | Release: 2021
by KC Tung
This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the tra...
Price: $22.01 | Publisher: O'Reilly Media | Release: 2021
Hands-On Financial Trading with Python
by Jiri Pik, Sourav Ghosh
Algorithmic trading helps you stay ahead of the markets by devising strategies in quantitative analysis to gain profits and cut losses.The book starts by introducing you to algorithmic trading and explaining why Python is the best platform for developing trading strategies. You'll then cover quantitative analysis using Python, and learn how to build algorithmic trading strategies with Zipline using var...
Price: $44.99 | Publisher: Packt Publishing | Release: 2021