Gabriele Lanaro is a PhD student in Chemistry at the University of British Columbia, in the field of Molecular Simulation. He writes high performance Python code to analyze chemical systems in large-scale simulations. He is the creator of Chemlab—a high performance visualization software in Python—and emacs-for-python—a collection of emacs extensions that facilitate working with Python code in the emacs text editor. This book builds on his experience in writing scientific Python code for his research and personal projects.
Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to express concepts in fewer lines of code than would be possible in similar languages. The availability of high quality numerically-focused tools has made Python an excellent choice for high performance computing. The speed of applications comes down to how well the code is written. Poorly written code means poorly performing applications, which means unsatisfied customers.
This book is an example-oriented guide to the techniques used to dramatically improve the performance of your Python programs. It will teach optimization techniques by using pure python tricks, high performance libraries, and the python-C integration. The book will also include a section on how to write and run parallel code.
This book will teach you how to take any program and make it run much faster. You will learn state-of the art techniques by applying them to practical examples. This book will also guide you through different profiling tools which will help you identify performance issues in your program. You will learn how to speed up your numerical code using NumPy and Cython. The book will also introduce you to parallel programming so you can take advantage of modern multi-core processors.
This is the perfect guide to help you achieve the best possible performance in your Python applications.
發表於2024-12-27
Python High Performance Programming 2024 pdf epub mobi 電子書 下載
Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to expre...
評分Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to expre...
評分Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to expre...
評分Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to expre...
評分Python is a programming language with a vibrant community known for its simplicity, code readability, and expressiveness. The massive selection of third party libraries make it suitable for a wide range of applications. This also allows programmers to expre...
圖書標籤: python 編程 Python performance 軟件開發 計算機 程序設計 性能
篇幅有點短, 沒有介紹pypy和cython的比較
評分篇幅好少,感覺像沒寫完
評分篇幅有點短, 沒有介紹pypy和cython的比較
評分篇幅有點短, 沒有介紹pypy和cython的比較
評分篇幅有點短, 沒有介紹pypy和cython的比較
Python High Performance Programming 2024 pdf epub mobi 電子書 下載