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Data Wrangling with Python
Data Wrangling with Python
Knygos.lt klubas Knygos.lt nariams
71,95 €
-30%
Įprastai
102,79 €
  • Išsiųsime per 12–18 d.d.
How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatâ s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started. Through various step-by-step exercises, youâ ll learn how to acquire, clean, analyze, and present data efficiently. Youâ ll also discover how to automate yo…
  • Leidėjas:
  • ISBN-10: 1491948817
  • ISBN-13: 9781491948811
  • Formatas: 17.5 x 23.4 x 2.8 cm, minkšti viršeliai
  • Kalba: Anglų

Data Wrangling with Python (el. knyga) (skaityta knyga) | knygos.lt

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How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatâ s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, youâ ll learn how to acquire, clean, analyze, and present data efficiently. Youâ ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

  • Quickly learn basic Python syntax, data types, and language concepts
  • Work with both machine-readable and human-consumable data
  • Scrape websites and APIs to find a bounty of useful information
  • Clean and format data to eliminate duplicates and errors in your datasets
  • Learn when to standardize data and when to test and script data cleanup
  • Explore and analyze your datasets with new Python libraries and techniques
  • Use Python solutions to automate your entire data-wrangling process
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  • Autorius: Jacqueline Kazil
  • Leidėjas:
  • ISBN-10: 1491948817
  • ISBN-13: 9781491948811
  • Formatas: 17.5 x 23.4 x 2.8 cm, minkšti viršeliai
  • Kalba: Anglų

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information thatâ s initially too messy or difficult to access. You don't need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, youâ ll learn how to acquire, clean, analyze, and present data efficiently. Youâ ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

  • Quickly learn basic Python syntax, data types, and language concepts
  • Work with both machine-readable and human-consumable data
  • Scrape websites and APIs to find a bounty of useful information
  • Clean and format data to eliminate duplicates and errors in your datasets
  • Learn when to standardize data and when to test and script data cleanup
  • Explore and analyze your datasets with new Python libraries and techniques
  • Use Python solutions to automate your entire data-wrangling process

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