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Название: Pandas Workout: 200 exercises to make you a stronger data analyst (Final Release)
Автор: Reuven M. Lerner
Издательство: Manning Publications
Год: 2024
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 14.3 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. Discover 50 exercises that will strengthen your Pandas skills to a level of automatic fluency. You’ll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You’ll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset. Pandas approaches problems differently than Python. The syntax is the same, but the data structures are different, and the way you structure your solutions is also different. Pandas is so vast that it’s easy to lose track of all the techniques. And unlike the core Python language, which tries to adhere to the maxim “There should be only one way to do it,” there are often many ways to accomplish the same task in Pandas. Knowing which of these ways is fastest to execute and easiest to maintain isn’t always obvious, even (or especially) if you’re an experienced Python developer.
Автор: Reuven M. Lerner
Издательство: Manning Publications
Год: 2024
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 14.3 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. Discover 50 exercises that will strengthen your Pandas skills to a level of automatic fluency. You’ll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You’ll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset. Pandas approaches problems differently than Python. The syntax is the same, but the data structures are different, and the way you structure your solutions is also different. Pandas is so vast that it’s easy to lose track of all the techniques. And unlike the core Python language, which tries to adhere to the maxim “There should be only one way to do it,” there are often many ways to accomplish the same task in Pandas. Knowing which of these ways is fastest to execute and easiest to maintain isn’t always obvious, even (or especially) if you’re an experienced Python developer.