Python is a well-established in the web, scientific and engineering programming and is the platform for high-traffic sites like YouTube. Python has been used for scientific computing in government, academia, and industry for at least a decade. "NASA’s Jet Propulsion Laboratory uses it for interfacing Fortran/C++ libraries for planning and visualization of spacecraft trajectories."

This hands-on Python for Signal and Image Processing workshop is for engineers and scientists want to develop systems, applications, and algorithms for real-life problems. Basic Prior knowledge of Python is not required however some programming knowledge (including MatLab) is.  The workshop will target basic understanding of Python programming, data handling, libraries and signal and image processing.

Workshop on Python for Signal and Image Processing

UCERD Gathering Intellectuals
Centre for Education Research and Development
Join UCERD Team
UCERD: Unal Center of Education Research and Development
UCERD Rawalpindi
UCERD Islamabad
UCERD Murree
Problem Statement
Coding Languages
Conventional Programming
Python Language
Python for Signal Processing
Python for Image Processing
Dr. Tassadaq Hussain.

He is a permanent faculty member at, Riphah International University.
He did his Ph.D. from Barcelona-tech Spain, in collaboration with Barcelona Supercomputing Center and Microsoft Research Center.

He is a member of HiPEAC: European Network on High Performance and Embedded Architecture and Compilation, Barcelona Supercomputing Center and Microsoft ResearchCentre Spain.
Until January 2018, he had more than 14 years of industrial experience including, Barcelona Supercomputing Centre Spain, Infineon technology France, Microsoft Research Cambridge, PLDA Italia, IBM Zurich Switzerland, and REPSOL Spain. He has published more than 50 international publications and filed 5 patents.

Tassadaq's main research lines are Machine Learning, Parallel Programming, Heterogeneous Multi-core Architectures, Single board Computers, Embedded Computer Vision, Runtime Resource Aware Architectures, Software Defined Radio and Supercomputing for Artificial Intelligence and Scientific Computing.