Mar-13-2019, 11:26 AM
Packt has recently published a video,High-Performance Computing with Python 3.x which demonstrates how to build high-performance, distributed, and concurrent applications in Python.
This hands-on course covers all the important aspects of high-performance computing using Python 3.x. Throughout the course, we'll go over the various techniques, modules, frameworks, and architectures needed for high-performance computing. This course is designed with minimal theory and maximal practical implementation followed by step-by-step instructions to get you up-and-running.
What You Will Learn
Authors
Mohammed Kashif
Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry.
This hands-on course covers all the important aspects of high-performance computing using Python 3.x. Throughout the course, we'll go over the various techniques, modules, frameworks, and architectures needed for high-performance computing. This course is designed with minimal theory and maximal practical implementation followed by step-by-step instructions to get you up-and-running.
What You Will Learn
- Use lambda expressions, generators, and iterators to speed up your code.
- A solid understanding of multiprocessing and multithreading in Python.
- Optimize performance and efficiency by leveraging NumPy, SciPy, and Cython for numerical computations.
- Load large data using Dask in a distributed setting.
- Leverage the power of Numba to make your Python programs run faster.
- Build reactive applications using Python.
Authors
Mohammed Kashif
Mohammed Kashif works as a Data Scientist at Nineleaps, India, dealing mostly with graph data analysis. Prior to this, he was working as a Python developer at Qualcomm. He completed his Master's degree in computer science from IIIT Delhi, with specialization in data engineering. His areas of interest include recommender systems, NLP, and graph analytics. In his spare time, he likes to solve questions on StackOverflow and help debug other people out of their misery. He is also an experienced teaching assistant with a demonstrated history of working in the higher-education industry.