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Č. položky:
90502044
High Performance Python 2e: Practical Performant Programming for Humans Paperback – Illustrated, 7 May 2020
Č. položky:
90502044
€ 77
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Detaily produktu
- Learn how to locate performance bottlenecks and speed up code in high-data-volume programs
- Gain a deeper understanding of Python’s implementation and take advantage of multicore architectures and clusters
- Discover solutions to issues and concrete strategies from experienced Python programmers
- Improve efficiency by choosing appropriate data structures and speeding up computations
- Manage multiple I/O and computational operations concurrently and deploy code faster using tools like Docker
- Recommended for intermediate to advanced Python programmers with a solid foundation in the language
| Item Weight | 1.1 lbs (500 grams) |
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High Performance Python 2e: Practical Performant Programming for Humans Paperback – Illustrated, 7 May 2020
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Algorithms Editorial Review
"High Performance Python: Practical Performant Programming for Humans" tackles the crucial topic of optimizing Python code, providing readers with valuable insights into memory management and performance profiling. Despite some criticisms regarding the age of certain material, the content remains largely relevant, emphasizing key techniques to avoid inefficient coding practices. The authors present a methodical approach, showcasing improvements and celebrating gradual learning progress within the chapters. While the book has been acknowledged for its depth and the thoroughness with which technical details are examined, some readers noted instances of verbosity that may complicate understanding for those not deeply versed in data science. The diverse methods showcased within the text illuminate Python's internal mechanics and performance libraries, enhancing the skills of experienced programmers, while novices are cautioned to wait until they possess a firmer grasp on the basics before diving into this resource. Overall, "High Performance Python" is regarded as an essential guide for those looking to deepen their programming knowledge, although it may pose challenges for beginners. The strong compilation of information and helpful performance tests indicate that while it requires effort to digest, the payoff can be substantial for those willing to invest the time. **
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Pros
- Offers valuable insights into memory management and performance profiling.
- Methodical structure with gradually improving techniques.
- Comprehensive examination of Python's internal workings and performance libraries.
- Stimulates a deeper understanding of coding practices.
Zápory
- Some content feels outdated.
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