<p>Python is a user-friendly and powerful programming language. IPython offers a convenient interface to the language and its analysis libraries, while 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, and in a huge variety of fields and endeavors. 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.</p> <p>The code bundle for the video course is available at -&nbsp;<a href="https://github.com/PacktPublishing/Learning-IPython-for-Interactive-Computing-and-Data-Visualization" target="_blank">https://github.com/PacktPublishing/Learning-IPython-for-Interactive-Computing-and-Data-Visualization</a></p> <h1>Style and Approach</h1> <p>This is a hands-on, beginner-friendly guide to analyzing and visualizing data on real-world examples with Python and Jupyter Notebook.</p>