Pandas Workout 200 exercises to make you a stronger data analyst

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Free Download Pandas Workout: 200 exercises to make you a stronger data analyst
by Reuven M. Lerner
English | 2024 | ISBN: 1617299723 | 440 pages | True/Retail EPUB | 15.48 MB

Practice makes perfect pandas!
Work out your pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential pandas tasks.
InPandas Workoutyou'll learn how to:
Clean your data for accurate analysisWork with rows and columns for retrieving and assigning dataHandle indexes, including hierarchical indexesRead and write data with a number of common formats, such as CSV and JSONProcess and manipulate textual data from within pandasWork with dates and times in pandasPerform aggregate calculations on selected subsets of dataProduce attractive and useful visualizations that make your data come alive
Pandas Workouthones your pandas skills to a professional-level through two hundred exercises, each designed to strengthen your pandas skills. You'll test your abilities against common pandas challenges such as importing and exporting, data cleaning, visualization, and performance optimization. Each exercise utilizes a real-world scenario based on real-world data, from tracking the parking tickets in New York City, to working out which country makes the best wines. You'll soon find your pandas skills becoming second nature-no more trips to StackOverflow for what is now a natural part of your skillset.
About the technology
Python's pandas library can massively reduce the time you spend analyzing, cleaning, exploring, and manipulating data. And the only path to pandas mastery is practice, practice, and, you guessed it, more practice. In this book, Python guru Reuven Lerner is your personal trainer and guide through over 200 exercises guaranteed to boost your pandas skills.
About the book
Pandas Workoutis a thoughtful collection of practice problems, challenges, and mini-projects designed to build your data analysis skills using Python and pandas. The workouts use realistic data from many sources: the New York 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 handling, complex indexing, and visualization, along with practical tips for every stage of a data analysis project.
What's insideClean data with less manual laborRetrieving and assigning dataProcess and manipulate textCalculations on selected data subsets
About the reader
For Python programmers and data analysts.
About the author
Reuven M. Lernerteaches Python and data science around the world and publishes the "Bamboo Weekly" newsletter. He is the author of Manning'sPython Workout(2020).
Table of Contents
1 Series
2 Data frames
3 Importing and exporting data
4 Indexes
5 Cleaning data
6 Grouping, joining, and sorting
7 Advanced grouping, joining, and sorting
8 Midway project
9 Strings
10 Dates and times
11 Visualization
12 Performance
13 Final project

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