Python Data Science Handbook

Download free course Python Data Science Handbook, pdf file on 548 pages by Jake VanderPlas.

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, Scikit-Learn, and other related tools.

Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python.

With this handbook, you'll learn how to use:

IPython and Jupyter: provide computational environments for data scientists using Python;
NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python;
Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python;
Matplotlib: includes capabilities for a flexible range of data visualizations in Python;
Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms.

Table of contents

IPython: Beyond Normal Python
Introduction to NumPy
Data Manipulation with Pandas
Visualization with Matplotlib
Machine Learning

Pages :	548
File type :	PDF
Downloads:	124
Submitted On:	2022-02-03
License:	CC BY-NC-ND
Author(s):	Jake VanderPlas

What this Python, Data recovery course can do for you

Take advantage of this course called Python Data Science Handbook to improve your Programming skills and better understand Python, Data recovery.

This course is adapted to your level as well as all Python, Data recovery pdf courses to better enrich your knowledge.

All you need to do is download the training document, open it and start learning Python, Data recovery for free.

This tutorial has been prepared for the beginners to help them understand basic Python, Data recovery Programming. After completing this tutorial you will find yourself at a moderate level of expertise in Python, Data recovery from where you can take yourself to next levels.

This tutorial is designed for Python, Data recovery students who are completely unaware of Python, Data recovery concepts but they have basic understanding on Programming training.