Oreilly – Pandas Workout, Video Edition 2024-6

Pandas Workout Video Edition course. In the video versions, the narrator reads the book while the content, diagrams, code listings, diagrams, and text are displayed on the screen. It’s like an audio book that you can also watch as a video. The Pandas Python library can drastically reduce the time you spend analyzing, cleaning, exploring, and manipulating data. And the only way to master Pandas is to practice, practice and guess what, more practice. In this book, Python guru Rowen Lerner is your personal trainer and guide through more than 200 exercises guaranteed to sharpen your Pandas skills. Pandas Exercises is a thoughtful collection of practical problems, challenges, and mini-projects designed to strengthen your data analysis skills using Python and Pandas. The exercises use real data from a variety of sources: New York’s taxi fleet, Olympic athletes, SAT scores, oil prices, and more. Each can be completed in ten minutes or less. You’ll explore Pandas’ rich functionality for string and date/time manipulation, complex indexing and visualization, along with practical tips for every step of a data analysis project.

What you will learn:

• Clean your data for detailed analysis
• Work with rows and columns to retrieve and assign data
• Work with indexes, including hierarchical indexes
• Read and write data in a number of common formats such as CSV and JSON
• Process and manipulate text data from within Pandas
• Work with dates and times in Pandas
• Clean data with minimal manual work
• Data recovery and assignment
• Text processing and manipulation
• Calculations on selected subsets of data
• Perform cumulative calculations on selected subsets of data
• Produce engaging and useful visualizations that bring your data to life

This course is suitable for people who:

• They are Python programmers
• are data analysts

Course details

• Publisher:  Oreilly
• Lecturer: Reuven M. Lerner
• Training level: beginner to advanced
• Training duration: 11 hours and 41 minutes

Course headings

• Chapter 1. Series
• Chapter 2. Data frames
• Chapter 3. Importing and exporting data
• Chapter 4. Indexes
• Chapter 5. Cleaning data
• Chapter 6. Grouping, joining, and sorting
• Chapter 7. Advanced grouping, joining, and sorting
• Chapter 8. Midway project
• Chapter 9. Strings
• Chapter 10. Dates and times
• Chapter 11. Visualization
• Chapter 12. Performance
• Chapter 13. Final project

Course images

Sample video of the course

download link

Download part 1 – 1 GB

Download part 2 – 71 MB

File(s) password: www.downloadly.ir

File size

1.07 GB