Unpacking NumPy and Pandas
Packages for Python Data Analysis
Created by Curtis Miller
Explore the essentials of Python data analysis by working hands-on with NumPy and Pandas. Learn how to read, sort, and manipulate data, and discover practical techniques for handling different data formats. Build a solid foundation for more advanced data analysis projects using these powerful libraries.
Packt | Jun 2017 | 138 min
What You Will Learn
You will follow a practical, step-by-step path, starting with setting up your Python environment and moving through real-world examples using Jupyter notebooks. Each concept is introduced with hands-on exercises, so you can immediately apply what you learn to real data analysis tasks.
Key Features
- Learn to create, slice, and manipulate arrays using NumPy for efficient data handling
- Master data sorting, grouping, and indexing techniques with Pandas for deeper analysis
- Handle missing data and interface Python with R to expand your data analysis toolkit
Target Audience
Ideal for Python developers who are comfortable with the basics and want to move into data analysis. If you're looking to expand your skills with industry-standard libraries and work on real data projects, you'll find clear guidance and actionable techniques to help you get started.
