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Položka č.:
90502044
High Performance Python 2e: Practical Performant Programming for Humans Paperback – Illustrated, 7 May 2020
Položka č.:
90502044
CZK 2077
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What Stands Out
Comprehensive Insights
Delve into high-performance programming techniques specifically tailored for Python users. This book provides in-depth knowledge to help optimize code effectively, enhancing overall programming capabilities.
Illustrated Guidance
Benefit from clear, illustrated examples that make complex concepts easier to understand. This visual approach assists readers in grasping performance enhancements swiftly and intuitively.
Updated Content
Stay current with the latest Python practices and tools. The second edition includes updated methodologies and performance tips that reflect significant changes in the programming landscape since the first edition.
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) |
Who Should Buy?
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Intermediate Developers
Developers looking to enhance their Python skills with performance optimization techniques will find this book particularly beneficial.
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Data Scientists
Data scientists seeking to improve the efficiency of their Python code for large datasets will find practical guidance here.
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Performance Engineers
Performance engineers focused on profiling and improving application speed will gain valuable insights from the teachings of this book.
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Beginners
Complete beginners may struggle with the advanced concepts discussed, needing a foundational understanding of Python first.
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Casual Users
Casual Python users only interested in basic programming tasks might not benefit from the performance-focused content.
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Theoretical Programmers
Those favoring theoretical knowledge over practical implementation may find the practical focus of this book unhelpful.
POPIS PRODUKTU
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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Klady
- 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.
Nevýhody
- Some content feels outdated.
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