Explore the basics of the platform: Python and IPython. Also, the Jupyter Notebook allows you to perform data analysis tasks with real-world datasets.
About This Video
- Learn Python basics in the Jupyter Notebook
- Use pandas, NumPy and matplotlib to analyze and visualize data
- You can perform highly efficient numerical computations using Numba, Cython and ipyparallel
Python is a powerful and user-friendly programming language. IPython provides a simple interface to the language's analysis libraries and Jupyter Notebook is a rich environment that can be used for data science and visualization. These open-source tools can be used in a wide range of fields by experts and beginners alike. This course is designed to be a beginner-friendly introduction to the Python data analysis platform. After an introduction to Python, IPython and Jupyter Notebook you will learn how to analyze real-world data, create graphical user interfaces in Notebook for image processing, and perform fast numerical computations with NumPy and Numba, Cython and ipyparallel for scientific simulations. You will be able perform detailed analyses of all types of data by the end of this course.
The code bundle for the video course is available at - https://github.com/PacktPublishing/Learning-IPython-for-Interactive-Computing-and-Data-Visualization
