Hands-On Data Analysis with NumPy and pandas

Dive into 'Hands-On Data Analysis with NumPy and pandas' to explore the world of Python for data analysis. This book guides you through using these powerful Python libraries to handle and manipulate data efficiently. You will learn hands-on techniques to read, sort, group, and visualize data for impactful analysis.

What this Book will help me do

• Learn to set up a Python environment for data analysis with tools like Jupyter notebooks.
• Master data handling using NumPy, focusing on array creation, slicing, and operations.
• Understand the functionalities of pandas for managing datasets, including DataFrame operations.
• Discover techniques for data preparation, such as handling missing data and hierarchical indexing.
• Explore data visualization using pandas and create impactful plots for data insights.

Author(s)

The book is authored by None Miller, a seasoned Python developer and data analyst. With a strong background in leveraging Python for data processing, None focuses on creating content that is practical and accessible. The author's teaching approach emphasizes hands-on practice and understanding, making technical topics approachable and engaging.

Who is it for?

This book is ideal for Python developers at a beginner to intermediate level looking to venture into data analysis. If you are transitioning from general programming to data-focused work or need to enhance your skills in data manipulation and processing, this book will be a strong foundation. It requires no prior experience with data analysis, so it is accessible to many learners.