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Sách Pandas Workout 200 exercises to make you a stronger data analyst

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Sách Pandas Workout 200 exercises to make you a stronger data analyst

Sách keo gáy, bìa mềm
 
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 analysis
• Work with rows and columns for retrieving and assigning data
• Handle indexes, including hierarchical indexes
• Read and write data with a number of common formats, such as CSV and JSON
• Process and manipulate textual data from within pandas
• Work with dates and times in pandas
• Perform aggregate calculations on selected subsets of data
• Produce attractive and useful visualizations that make your data come alive
 
Pandas
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.
 
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.
 
About the reader
For Python programmers and data analysts.
 
Thể loại:Computers - Organization and Data Processing
 
Năm:2024
 
In lần thứ:1
 
Ngôn ngữ:english
 
Trang:442