Data Wrangling Using Python; Jacqueline Kazil, Katharine Jarmul; 2016
endast ny

Data Wrangling Using Python Upplaga 1

av Jacqueline Kazil, Katharine Jarmul
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 that'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, you'll learn how to acquire, clean, analyze, and present data efficiently. You'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
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 that'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, you'll learn how to acquire, clean, analyze, and present data efficiently. You'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
Upplaga: 1a upplagan
Utgiven: 2016
ISBN: 9781491948811
Förlag: O'Reilly Media
Format: Häftad
Språk: Engelska
Sidor: 300 st
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 that'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, you'll learn how to acquire, clean, analyze, and present data efficiently. You'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
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 that'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, you'll learn how to acquire, clean, analyze, and present data efficiently. You'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
Ny bok
428 kr450 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)

Om Data Wrangling Using Python (2016)

I mars 2016 släpptes boken Data Wrangling Using Python skriven av Jacqueline Kazil, Katharine Jarmul. Det är den 1a upplagan av kursboken. Den är skriven på engelska och består av 300 sidor djupgående information om data. Förlaget bakom boken är O'Reilly Media.

Köp boken Data Wrangling Using Python direkt från en annan student på Studentapan och spara pengar.

KurslitteraturITIT allmäntData Wrangling Using Python
Bokens omdömen
Ingen har recenserat den här boken ännu.

Sälj vidare boken när du är klar

När du är klar med boken säljer du enkelt vidare och tjänar pengar på nolltid med Studentapan. Vi tar hand om allt det krångliga så att du får mer tid över till annat. På det sättet kan du tjäna tillbaka det mesta av kostnaden för boken.
Värdera & sälj böcker

Klimatsmart kurslitteratur

Bli en miljöhjälte under din studietid och ge dina gamla kursböcker ett nytt liv. Genom att återanvända dina kursböcker minskar du utsläppen av koldioxid (CO2) med hela 59%. För en psykologstudent skulle det innebära minskade CO2-utsläpp med cirka 240 kg under studietiden. En stor vinst för din plånbok och miljön. Det kallar vi klimatsmart kurslitteratur.

Liknande kurslitteratur

Ny bok
428 kr450 kr
5% studentrabatt med Studentapan
Begagnad bok (0 st)