



  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 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,... 

  Python Data Analytics: With Pandas, NumPy, and Matplotlib
Explore the latest Python tools and techniques to help you tackle the world of data acquisition and analysis. You'll review scientific computing with NumPy, visualization with matplotlib, and machine learning with scikitlearn.
This revision is fully updated with new content on social media data analysis, image...   


NumPy 1.5 Beginner's Guide
An action packed guide for the easytouse, high performance, free open source NumPy mathematical library using realworld examples

The first and only book that truly explores NumPy practically

Perform high performance calculations with clean and efficient NumPy code

Analyze large data sets...
  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,...   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... 


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