Python, a multi-paradigm programming language, has become the language of choice for data scientists for visualization, data analysis, and machine learning.
Hands-On Data Analysis with NumPy and Pandas starts by guiding you in setting up the right environment for data analysis with Python, along with helping you install the correct Python distribution. In addition to this, you will work with the Jupyter notebook and set up a database. Once you have covered Jupyter, you will dig deep into Pythonβs NumPy package, a powerful extension with advanced mathematical functions. You will then move on to creating NumPy arrays and employing different array methods and functions. You will explore Pythonβs pandas extension which will help you get to grips with data mining and learn to subset your data. Last but not the least you will grasp how to manage your datasets by sorting and ranking them.
By the end of this book, you will have learned to index and group your data for sophisticated data analysis and manipulation.
What You Will Learn
β’ Understand how to install and manage Anaconda
β’ Read, sort, and map data using NumPy and pandas
β’ Find out how to create and slice data arrays using NumPy
β’ Discover how to subset your DataFrames using pandas
β’ Handle missing data in a pandas DataFrame
β’ Explore hierarchical indexing and plotting with pandas