Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook: Essential Tools for Working with Data do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. …

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## Cracking Codes with Python

Cracking Codes with Python teaches complete beginners how to program in the Python programming language. The book features the source code to several ciphers and hacking programs for these ciphers. …

## Modeling and Simulation in Python

Modeling and Simulation in Python is an introduction to modeling and simulation of physical systems using the Python programming language. …

## Think DSP: Digital Signal Processing in Python

If you understand basic mathematics and know how to program with Python, you’re ready to dive into signal processing. While most resources start with theory to teach this complex subject, Think DSP: Digital Signal Processing in Python introduces techniques by showing you how they’re applied in the real world. …

## Think Bayes: Bayesian Statistics Made Simple

Think Bayes: Bayesian Statistics Made Simple is an introduction to Bayesian statistics using computational methods. This book uses Python code instead of math, and discrete approximations instead of continuous mathematics. As a result, what would be an integral in a math book becomes a summation, and most operations on probability distributions are simple loops. …

## Think Stats 2nd Edition

Think Stats: Exploratory Data Analysis in Python is an introduction to Probability and Statistics for Python programmers. It emphasizes simple techniques you can use to explore real data sets and answer interesting questions. The book presents a case study using data from the National Institutes of Health. Readers are encouraged to work on a project with real datasets. …

## Think Python 2nd Edition

Think Python is an introduction to Python programming for beginners. This is the second edition of Think Python, which uses Python 3. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, like recursion and object-oriented programming are divided into a sequence of smaller steps and introduced over the course of several chapters. …

## What you need to know about Python

What you need to know about Python: The absolute essentials you need to get Python up and running is designed to act as a brief, practical introduction to Python. It is full of practical examples which will get you up and running quickly with the core tasks of Python. It assumes that you know a bit about what Python is, what it does, and why you want to use it. …

## SciPy Programming Succinctly

James McCaffrey’s SciPy Programming Succinctly offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section presents a complete demo program for programmers to experiment with, carefully chosen examples to best illustrate each function, and resources for further learning. …

## Automate the Boring Stuff with Python

If you’ve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In Automate the Boring Stuff with Python: Practical Programming for Total Beginners, you’ll learn how to use Python to write programs that do in minutes what would take you hours to do by hand—no prior programming experience required. Once you’ve mastered the basics of programming, you’ll create Python programs that effortlessly perform useful and impressive feats of automation. …