This easy-to-read, hands-on guide demystifies concurrency concepts like threading, asynchronous programming, and parallel processing in any language. Perplexed by concurrency? …
Let Python do the heavy lifting for you as you analyze large datasets Python for Data Science For Dummies lets …
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and …
Hacking. In the digital age the word conjures up images of individuals in darkened basements, breaking into multi-national company’s computer …
Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality …
Key Features Learn to use the power of Pandas to solve most complex scientific computing problems Leverage fast, robust data …
Practical recipes for scientific computing, time series, and exploratory data analysis using Python. 4 customer reviews. Instant delivery. Top rated …
Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications.About This Book• Handle a variety of …
About This BookLearn how to handle a variety of tasks with Scikit-Learn with interesting recipes that show you how the …
Deep learning methods are achieving state-of-the-art results on challenging machine learning problems such as describing photos and translating text from …
Applied Numerical Methods with Python , 1st Edition is written for students who want to learn and apply numerical methods …
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making …
" Python Clean Code " is a comprehensive guidebook for Python developers who want to improve the quality of their …
