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This is the code repository for Learning IPython for Interactive Computing and Data Visualization [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
This course is a beginner-friendly guide to the Python data analysis platform. After an introduction to the Python language, IPython, and Jupyter Notebook, you will learn how to analyze and visualize data on real-world examples, how to create graphical user interfaces for image processing in Notebook, and how to perform fast numerical computations for scientific simulations with NumPy, Numba, Cython, and ipyparallel. By the end of this course, you will be able to perform in-depth analyses of all sorts of data.
- Install Anaconda and code in Python in 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 Jupyter Notebook with scikit-image
- Accelerate your code with Numba, Cython, and IPython.parallel
- Extend the Notebook interface with HTML, JavaScript, and D3
To fully benefit from the coverage included in this course, you will need:
Basics of Python
This course has the following software requirements:
Python 3.x
Jupyter Notebook