October 2015
Beginner
200 pages
3h 56m
English
book
Learning IPython for Interactive Computing and Data Visualization, Second Edition
by Cyrille Rossant
Overview
Dive into the powerful world of interactive computing and data visualization with Python in the Jupyter Notebook. In this book, you will gain foundational skills in Python and learn how to analyze and visualize data using popular libraries like pandas, NumPy, matplotlib, and more. By the end, you will be creating efficient computations and meaningful visualizations effortlessly.
What this Book will help me do
- Understand the installation and usage of Anaconda and coding in Python through the Jupyter Notebook
- Gain practical experience in manipulating and exploring datasets with pandas
- Design advanced visualizations for data representation using matplotlib and seaborn
- Learn numerical computation and simulation techniques with NumPy and other tools
- Accelerate performance-sensitive tasks using tools like Numba and Cython
Author(s)
Cyrille Rossant, the author of this book, is a software developer and data scientist with extensive experience in Python, numerical computing, and data visualization. With a passion for making technical concepts approachable, his writing style blends clarity with practicality, ensuring readers from diverse backgrounds can successfully enhance their skills.
Who is it for?
This book is ideal for students, professionals, and hobbyists interested in data analysis and visualization. Beginners to Python programming will find it highly approachable. Those with some programming background but new to Python will also benefit greatly. Advanced readers will enjoy the in-depth discussions of performance optimizations and visualization customizations.
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