Python Data Science Handbook: Essential Tools for Working with Data
For many researchers, Python is a first-class 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,...
Scientific Computing with Python 3
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 hands-on guide to implementing mathematics with Python, with complete...
Numerical Python: A Practical Techniques Approach for Industry
Numerical Python by Robert Johansson shows you how to leverage the numerical and mathematical modules in Python and its Standard Library as well as popular open source numerical Python packages like NumPy, FiPy, matplotlib and more to numerically compute solutions and mathematically model...
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 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,...
Python Data Analysis Cookbook
Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types
Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning
Authored by Ivan Idris, expert in python programming and proud
|Result Page: 3 2 1 |