Computational Frameworks for Political and Social Research with Python. (2020)

• Record Type: Book
• Further Information: Note: Josh Cutler, Matt Dickenson.
• Authors: Cutler, Josh; Dickenson, Matt
• Contents: Chapter 1. Getting Started With Python.- Chapter 2. Building Software.- Chapter 3. Object-Oriented Programming.- Chapter 4. Introduction to Algorithms.- Chapter 5. Introduction to Data Structures.- Chapter 6. Input, Output, and the Web.- Chapter 7. Application Programming Interfaces.- Chapter 8. Databases.- Chapter 9. NoSQL Databases.- Chapter 10. Introduction to Machine Learning with Python.- Chapter 11. Linear Programming.- Chapter 12. Practical Programming.- Chapter 13. Case Study: Image Processing.- Chapter 14. Case Study: Natural Language Processing.- Chapter 15. Conclusion.
• Publisher Details: Cham : Springer
• Publication Date: 2020
• Copyright Date: 2020
• Extent: 1 online resource (209 pages)
• Subjects: Statistics; Statistics ; Political science; Social sciences; Political Science -- General; Social Science -- Methodology; Politics & government; Social research & statistics; Social Science -- Statistics
• Languages: English
• ISBNs: 9783030368265
• Related ISBNs: 9783030368258
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.