Designing data structures in Python: principles & practice
"When should you use Python's built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, link...
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| Main Author: | |
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| Format: | Electronic Video |
| Language: | English |
| Published: |
[Place of publication not identified]
O'Reilly
[2015]
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| Subjects: | |
| Links: | https://learning.oreilly.com/library/view/-/9781491928622/?ar |
| Summary: | "When should you use Python's built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately. Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you'll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types."--Resource description page. |
| Item Description: | Title from title screen (viewed October 14, 2015). - Date of publication from resource description page |
| Physical Description: | 1 Online-Ressource (1 streaming video file (6 hr., 4 min., 21 sec.)) digital, sound, color |
Staff View
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| spelling | Heineman, George T. VerfasserIn aut Designing data structures in Python principles & practice with George T. Heineman [Place of publication not identified] O'Reilly [2015] 1 Online-Ressource (1 streaming video file (6 hr., 4 min., 21 sec.)) digital, sound, color zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Title from title screen (viewed October 14, 2015). - Date of publication from resource description page "When should you use Python's built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately. Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you'll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types."--Resource description page. Python (Computer program language) Data structures (Computer science) Computer programming Python (Langage de programmation) Structures de données (Informatique) Programmation (Informatique) computer programming Computer programming (OCoLC)fst00872390 Data structures (Computer science) (OCoLC)fst00887978 Python (Computer program language) (OCoLC)fst01084736 |
| spellingShingle | Heineman, George T. Designing data structures in Python principles & practice Python (Computer program language) Data structures (Computer science) Computer programming Python (Langage de programmation) Structures de données (Informatique) Programmation (Informatique) computer programming Computer programming (OCoLC)fst00872390 Data structures (Computer science) (OCoLC)fst00887978 Python (Computer program language) (OCoLC)fst01084736 |
| subject_GND | (OCoLC)fst00872390 (OCoLC)fst00887978 (OCoLC)fst01084736 |
| title | Designing data structures in Python principles & practice |
| title_auth | Designing data structures in Python principles & practice |
| title_exact_search | Designing data structures in Python principles & practice |
| title_full | Designing data structures in Python principles & practice with George T. Heineman |
| title_fullStr | Designing data structures in Python principles & practice with George T. Heineman |
| title_full_unstemmed | Designing data structures in Python principles & practice with George T. Heineman |
| title_short | Designing data structures in Python |
| title_sort | designing data structures in python principles practice |
| title_sub | principles & practice |
| topic | Python (Computer program language) Data structures (Computer science) Computer programming Python (Langage de programmation) Structures de données (Informatique) Programmation (Informatique) computer programming Computer programming (OCoLC)fst00872390 Data structures (Computer science) (OCoLC)fst00887978 Python (Computer program language) (OCoLC)fst01084736 |
| topic_facet | Python (Computer program language) Data structures (Computer science) Computer programming Python (Langage de programmation) Structures de données (Informatique) Programmation (Informatique) computer programming |
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