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240701 ||| eng |
| 050 |
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4 |
|a QA76.73.P98
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| 245 |
0 |
0 |
|a Algorithms and data structures with Python
|b an interactive learning experience
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| 250 |
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|a First edition
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| 260 |
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|a Plano, TX
|b Cuantum Technologies LLC.
|c 2023
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| 300 |
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|a 488 pages
|b illustrations
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| 653 |
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|a Logiciels d'application / Développement
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| 653 |
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|a Python (Computer program language) / http://id.loc.gov/authorities/subjects/sh96008834
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| 653 |
|
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|a Data structures (Computer science) / http://id.loc.gov/authorities/subjects/sh85035862
|
| 653 |
|
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|a Structures de données (Informatique)
|
| 653 |
|
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|a Python (Langage de programmation)
|
| 653 |
|
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|a Application software / Development / http://id.loc.gov/authorities/subjects/sh95009362
|
| 710 |
2 |
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|a Cuantum Technologies LLC
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
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|b OREILLY
|a O'Reilly
|
| 776 |
|
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|z 9781836208556
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781836208556/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 500
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| 082 |
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|a 005.13/3
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| 520 |
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|a Master Python and elevate your algorithmic skills with this comprehensive course. From introductory concepts to advanced computational problems, learn how to efficiently solve complex challenges and optimize your code. Begin your journey with an introduction to Python and algorithms, laying the groundwork for more complex topics. You will start with the basics of Python programming, ensuring a solid foundation before diving into more advanced and sophisticated concepts. As you progress, you'll explore elementary data containers, gaining an understanding of their role in algorithm development. Midway through the course, you’ll delve into the art of sorting and searching, mastering techniques that are crucial for efficient data handling. You will then venture into hierarchical data structures, such as trees and graphs, which are essential for understanding complex data relationships. By mastering algorithmic techniques, you’ll learn how to implement solutions for a variety of computational challenges. The latter part of the course focuses on advanced topics, including network algorithms, string and pattern deciphering, and advanced computational problems. You'll apply your knowledge through practical case studies and optimizations, bridging the gap between theoretical concepts and real-world applications. This comprehensive approach ensures you are well-prepared to handle any programming challenge with confidence
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