Learning Ipython For Interactive Computing And Data Visualization - Second Editi [Paperback]

Get started with Python for data analysis and numerical computing in the Jupyter notebook

About This Book

• Learn the basics of Python in the Jupyter Notebook


• Analyze and visualize data with pandas, NumPy, matplotlib, and seaborn


• Perform highly-efficient numerical computations with Numba, Cython, and ipyparallel

Who This Book Is For

This book targets students, teachers, researchers, engineers, analysts, journalists, hobbyists, and all data enthusiasts who are interested in analyzing and visualizing real-world datasets. If you are new to programming and data analysis, this book is exactly for you. If you're already familiar with another language or analysis software, you will also appreciate this introduction to the Python data analysis platform. Finally, there are more technical topics for advanced readers. No prior experience is required; this book contains everything you need to know.

Table of Contents

What You Will Learn

• Install Anaconda and code in Python in the Jupyter Notebook


• Load and explore datasets interactively


• Perform complex data manipulations effectively with pandas


• Create engaging data visualizations with matplotlib and seaborn


• Simulate mathematical models with NumPy


• Visualize and process images interactively in the Jupyter Notebook with scikit-image


• Accelerate your code with Numba, Cython, and IPython.parallel


• Extend the Notebook interface with HTML, JavaScript, and D3

In Detail

Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while the Jupyter Notebook is a rich environment well-adapted to data science and visualization. Together, these open source tools are widely used by beginners and experts around the world, andlS9