Nguyen Advanced Python Programming

Accelerate your Python programs using proven techniques and design patterns
2. Auflage 2022
ISBN: 978-1-80181-777-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 606 Seiten

No detailed description available for "Advanced Python Programming".

Autoren/Hrsg.

Nguyen, Quan

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
• Mathematik | Informatik EDV | Informatik Technische Informatik Externe Speicher & Peripheriegeräte
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Client-Server Netzwerke

Inhaltsverzeichnis

Table of Contents - Benchmarking and Profiling
- Pure Python Optimizations
- Fast Array Operations with NumPy and Pandas
- C Performance with Cython
- Exploring Compilers
- Automatic Differentiation and Accelerated Linear Algebra for Machine Learning
- Implementing Concurrency
- Parallel Processing
- Concurrent Web Requests
- Concurrent Image Processing
- Building Communication Channels with asyncio
- Deadlocks
- Starvation
- Race Conditions
- The Global Interpreter Lock
- The Factory Pattern
- The Builder Pattern
- Other Creational Patterns
- The Adapter Pattern
- The Decorator Pattern
- The Bridge Pattern
- The Façade Pattern
- Other Structural Patterns
- The Chain of Responsibility Pattern
- The Command Pattern
- The Observer Pattern

Über Autor(innen)

Nguyen Quan:
Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.