Heineman Python
O'Reilly Media - Working with Algorithms in Python eBooks & eLearning
Posted by groovebeat at Sept. 4, 2014
O'Reilly Media - Working with Algorithms in Python
WEB-Rip | MP4 | AVC1 @ 1250 Kbit/s | 1280x720 | AAC Stereo @ 128 Kbit/s 48 KHz | 9 Hours | 4.52 GB
Genre: Development, Programming | Language: English | Project Files Included
WEB-Rip | MP4 | AVC1 @ 1250 Kbit/s | 1280x720 | AAC Stereo @ 128 Kbit/s 48 KHz | 9 Hours | 4.52 GB
Genre: Development, Programming | Language: English | Project Files Included
Learn how to make your Python code more efficient by using algorithms to solve a variety of tasks or computational problems. In this video course, you’ll learn algorithm basics and then tackle a series of problems—such as determining the shortest path through a graph and the minimum edit distance between two genomic…
O'Reilly - Designing Data Structures in Python eBooks & eLearning
Posted by ParRus at Jan. 7, 2020
O'Reilly - Designing Data Structures in Python
WEBRip | English | MP4 | 1920 x 1080 | AVC ~2451 Kbps | 29.970 fps
AAC | 125 Kbps | 48.0 KHz | 1 channel | ~6 hours | 6.02 GB
AAC | 125 Kbps | 48.0 KHz | 1 channel | ~6 hours | 6.02 GB
Genre: Video Tutorial / Development, Programming
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.
Designing Data Structures in Python [repost] eBooks & eLearning
Posted by FenixN at Oct. 31, 2016
![Designing Data Structures in Python [repost]](https://pixhost.icu/avaxhome/6b/89/0040896b_medium.jpg)
Designing Data Structures in Python
HDRips | MP4/AVC, ~489 kb/s | 1280x720 | Duration: 06:04:21 | English: AAC, 125 kb/s (2 ch) | 1.52 GB
Genre: Development / Programming
HDRips | MP4/AVC, ~489 kb/s | 1280x720 | Duration: 06:04:21 | English: AAC, 125 kb/s (2 ch) | 1.52 GB
Genre: Development / Programming
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.
Designing Data Structures in Python eBooks & eLearning
Posted by C2U at Nov. 1, 2015
InfiniteSkills - Designing Data Structures in Python
English | 6 hours - 27 tutorial videos | AVC 1280x720 15 fps | AAC 48KHz 2Chs | 1.53 GB
Genre: E-learning
English | 6 hours - 27 tutorial videos | AVC 1280x720 15 fps | AAC 48KHz 2Chs | 1.53 GB
Genre: E-learning
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.
Learning Algorithms: A Programmer's Guide to Writing Better Code eBooks & eLearning
Posted by yoyoloit at July 21, 2021
Learning Algorithms: A Programmer's Guide to Writing Better Code
by George Heineman
English | 2021 | ISBN: 1492091065 | 282 pages | EPUB | 7.52 MB
by George Heineman
English | 2021 | ISBN: 1492091065 | 282 pages | EPUB | 7.52 MB
Learning Algorithms: A Programmer's Guide to Writing Better Code eBooks & eLearning
Posted by lucky_aut at Aug. 24, 2021
Learning Algorithms: A Programmer's Guide to Writing Better Code by George Heineman
English | 30 Sept. 2021 | ISBN : 1492091065 | 350 pages | True AZW3 | 6.03 MB
English | 30 Sept. 2021 | ISBN : 1492091065 | 350 pages | True AZW3 | 6.03 MB
Learning Algorithms: A Programmer's Guide to Writing Better Code eBooks & eLearning
Posted by yoyoloit at Aug. 25, 2021
Learning Algorithms
by Heineman, George;
English | 2021 | ISBN: 1492091065 | 281 pages | True PDF | 11.39 MB
by Heineman, George;
English | 2021 | ISBN: 1492091065 | 281 pages | True PDF | 11.39 MB
Learning Algorithms: A Programmer's Guide to Writing Better Code eBooks & eLearning
Posted by First1 at Aug. 6, 2021
Learning Algorithms: A Programmer's Guide to Writing Better Code by George Heineman
English | September 7th, 2021 | ISBN: 1492091065 | 280 pages | True EPUB | 8.48 MB
English | September 7th, 2021 | ISBN: 1492091065 | 280 pages | True EPUB | 8.48 MB
When it comes to writing efficient code, every software professional needs to have an effective working knowledge of algorithms. In this practical book, author George Heineman (Algorithms in a Nutshell) provides concise and informative descriptions of key algorithms that improve coding in multiple languages. Software developers, testers, and maintainers will discover how algorithms solve computational problems creatively.
Learning Algorithms: A Programmer's Guide to Writing Better Code eBooks & eLearning
Posted by TiranaDok at Nov. 29, 2022
Learning Algorithms: A Programmer's Guide to Writing Better Code by George Heineman
English | September 21, 2021 | ISBN: 1492091065 | 278 pages | MOBI | 12 Mb
English | September 21, 2021 | ISBN: 1492091065 | 278 pages | MOBI | 12 Mb
Usability Testing and Research eBooks & eLearning
Posted by C2U at Nov. 1, 2015
InfiniteSkills - Usability Testing and Research
English | 1.75 hours - 11 tutorial videos | AVC 1280x720 15 fps | AAC 48KHz 2Chs | 489 MB
Genre: E-learning
English | 1.75 hours - 11 tutorial videos | AVC 1280x720 15 fps | AAC 48KHz 2Chs | 489 MB
Genre: E-learning
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.