



Python Crash Course: A HandsOn, ProjectBased Introduction to Programming
Python Crash Course is a fastpaced, thorough introduction to Python that will have you writing programs, solving problems, and making things that work in no time.
In the first half of the book, you’ll learn about basic programming concepts, such as lists, dictionaries, classes, and loops, and practice writing...     Scientific Computing with Python 3
Key Features

Your ultimate resource for getting up and running with Python numerical computations

Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules

A handson guide to implementing mathematics with Python, with complete...


  Python Data Analysis
Key Features

Find, manipulate, and analyze your data using the Python 3.5 libraries

Perform advanced, highperformance linear algebra and mathematical calculations with clean and efficient Python code

An easytofollow guide with realistic examples that are frequently used in realworld data...
  Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a firstclass tool mainly 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 Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib,... 


Beginning Python Visualization: Crafting Visual Transformation Scripts
We are visual animals. But before we can see the world in its true splendor, our brains, just like our computers, have to sort and organize raw data, and then transform that data to produce new images of the world. Beginning Python Visualization: Crafting Visual Transformation Scripts, Second Edition discusses turning many types of...   Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython
Get complete instructions for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.6, the second edition of this handson 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,...   Learning IPython for Interactive Computing and Data Visualization
IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical handson guide to make yourself an expert. Covers numerical computing, data analysis, and more.
Overview

A practical stepbystep tutorial which will help you to replace the...



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