{"product_id":"pandas-workout-200-exercises-to-make-you-a-stronger-data-analyst-9781617299728","title":"Pandas Workout: 200 Exercises to Make You a Stronger Data Analyst","description":"\u003cb\u003ePractice makes perfect pandas!\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eWork out your pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential pandas tasks. \u003cp\u003e\u003c\/p\u003e In \u003ci\u003ePandas Workout\u003c\/i\u003e you'll learn how to: \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eClean your data for accurate analysis\u003c\/li\u003e \u003cli\u003eWork with rows and columns for retrieving and assigning data\u003c\/li\u003e \u003cli\u003eHandle indexes, including hierarchical indexes\u003c\/li\u003e \u003cli\u003eRead and write data with a number of common formats, such as CSV and JSON\u003c\/li\u003e \u003cli\u003eProcess and manipulate textual data from within pandas\u003c\/li\u003e \u003cli\u003eWork with dates and times in pandas\u003c\/li\u003e \u003cli\u003ePerform aggregate calculations on selected subsets of data\u003c\/li\u003e \u003cli\u003eProduce attractive and useful visualizations that make your data come alive\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003ci\u003ePandas Workout\u003c\/i\u003e hones 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. \u003cp\u003e\u003c\/p\u003e Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the technology\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e 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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the book\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003ci\u003ePandas Workout\u003c\/i\u003e is 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. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eWhat's inside\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eClean data with less manual labor\u003c\/li\u003e \u003cli\u003eRetrieving and assigning data\u003c\/li\u003e \u003cli\u003eProcess and manipulate text\u003c\/li\u003e \u003cli\u003eCalculations on selected data subsets\u003c\/li\u003e \u003c\/ul\u003e \u003cbr\u003e\u003cb\u003eAbout the reader\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e For Python programmers and data analysts. \u003cp\u003e\u003c\/p\u003e \u003cb\u003eAbout the author\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e \u003cb\u003eReuven M. Lerner\u003c\/b\u003e teaches Python and data science around the world and publishes the \"Bamboo Weekly\" newsletter. He is the author of Manning's \u003ci\u003ePython Workout\u003c\/i\u003e (2020). \u003cp\u003e\u003c\/p\u003e \u003cb\u003eTable of Contents\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e 1 Series\u003cbr\u003e 2 Data frames\u003cbr\u003e 3 Importing and exporting data\u003cbr\u003e 4 Indexes\u003cbr\u003e 5 Cleaning data\u003cbr\u003e 6 Grouping, joining, and sorting\u003cbr\u003e 7 Advanced grouping, joining, and sorting\u003cbr\u003e 8 Midway project\u003cbr\u003e 9 Strings\u003cbr\u003e 10 Dates and times\u003cbr\u003e 11 Visualization\u003cbr\u003e 12 Performance\u003cbr\u003e 13 Final project\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003eReuven M. Lerner teaches Python and data science to companies around the world. 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