Advanced Python Programming

Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns. With this Learning Path, you will gain complete knowledge to solve problems by building high performing applications loaded with asynchronous, multithreaded code and proven design patterns.

Create distributed applications with clever design patterns to solve complex problems

• Set up and run distributed algorithms on a cluster using Dask and PySpark
• Master skills to accurately implement concurrency in your code
• Gain practical experience of Python design patterns with real-world examples

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.

By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems.

This Learning Path includes content from the following Packt products:

• Python High Performance - Second Edition by Gabriele Lanaro
• Mastering Concurrency in Python by Quan Nguyen
• Mastering Python Design Patterns by Sakis Kasampalis

• 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

This Learning Path is specially designed for Python developers who want to build high-performance applications and learn about single core and multi-core programming, distributed concurrency, and Python design patterns. Some experience with Python programming language will help you get the most out of this Learning Path.

UK Delivery:

• Free delivery on all orders of £10 or more.
• £1.49 delivery fee on orders below £10.
• UK orders are shipped via Royal Mail 2nd Class.

International Delivery:

• Flat rate delivery charges vary by country.

Dispatch and Delivery Times:

• All orders are shipped from our warehouse in Northampton, UK within 48 hours of receipt during working hours.
• UK mainland orders typically arrive within 3-5 working days via Royal Mail 2nd Class.
• International estimated delivery times:
• Europe & Channel Islands: 7 to 10 working days
• USA: 7 to 15 working days
• Rest of the World: 9 to 21 working days

View our full delivery infomation here.