{ "item_title" : "Pandas Workout", "item_author" : [" Reuven Lerner "], "item_description" : "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. In Pandas Workout you'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 alivePandas Workout 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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. 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 Workout 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. What's insideClean data with less manual laborRetrieving and assigning dataProcess and manipulate textCalculations on selected data subsetsAbout the reader For Python programmers and data analysts. About the author Reuven M. Lerner teaches Python and data science around the world and publishes the Bamboo Weekly newsletter. He is the author of Manning's Python Workout (2020). Table of Contents 1 Series2 Data frames3 Importing and exporting data4 Indexes5 Cleaning data6 Grouping, joining, and sorting7 Advanced grouping, joining, and sorting8 Midway project9 Strings10 Dates and times11 Visualization12 Performance13 Final project", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/61/729/972/1617299723_b.jpg", "price_data" : { "retail_price" : "59.99", "online_price" : "59.99", "our_price" : "59.99", "club_price" : "59.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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