Advanced Python Programming
eBook Details:
- Paperback: 672 pages
- Publisher: WOW! eBook (February 28, 2019)
- Language: English
- ISBN-10: 1838551212
- ISBN-13: 978-1838551216
eBook Description:
Advanced Python Programming: Create distributed applications with clever design patterns to solve complex problems
This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing.
What You Will Learn
- Use NumPy and pandas to import and manipulate datasets
- Achieve native performance with Cython and Numba
- Write asynchronous code using asyncio and RxPy
- Design highly scalable programs with application scaffolding
- Explore abstract methods to maintain data consistency
- Clone objects using the prototype pattern
- Use the adapter pattern to make incompatible interfaces compatible
- Employ the strategy pattern to dynamically choose an algorithm
By the end of this Learning Path Advanced Python Programming, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.
