Programming with Python for social scientists

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As data become 'big', fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for …

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Title Statements

Full title :Programming with Python for social scientists / Phillip D. Brooker.

Summary

Edition Statements

Publication Date:©2020

Publication Statements

Publisher(s):SAGE
Place of Publication:London
Language:eng
Publication Date:©2020

The Physical Object

Description:xiv, 305 pages : : illustrations ; : 25 cm

Edition Identifiers

ISBN:9781526431714, 1526431718, 9781526431721, 1526431726
oclc:on1102468599
LC Classification:QA76.73.P98
Dewey Decimal:005.13/3

Introduction -- What is Programming? And What Could it Mean for Social Science Research? -- Programming-as-Social-Science (Critical Coding -- Setting Up to Start Coding -- Core Concepts/Objects -- Structuring Objects -- Building Better Code with (Slightly) More Complex Concepts/Objects -- Building New Objects with Classes -- Useful Extra Concepts/Practices -- Designing Research that Features Programming -- Working with Text Files -- Data Collection: Using Social Media APIs -- Data Decoding/Encoding in Popular Formats (CSV, JSON and XML) -- Data Collection: Web Scraping -- Visualising Data -- Conclusion: Using Your Programming-as-Social-Science Mindset