If you have a basic understanding of DSP concepts and a desire to start using Python for modeling and simulation, this course is ideal. After four weeks, I've successfully transitioned from MATLAB as my "goto" tool for DSP development to Python. This is a very much "hands-on" course with the right amount of homework to help reinforce learning. With frequent hands-on demonstrations and abundance of working examples to reference, Dan clearly shows the "Pythonic way" for developing DSP components. The accompanying live Q&A workshops provided any additional help I required. I prefer recorded videos over live webinars because I can pause and repeat sections as needed. I have just completed Dan Boschen's course on Python for Digital Signal Processing Applications and found it to be perfect for my situation. I've wanted to switch to Python because it's open source, full featured, and growing in popularity. I frequently use MATLAB for Signal Processing simulations. Dan's enthusiasm is key to the learning experience! My knowledge of Python, DSP & communications has been taken to the next level.ĭan being a "hardware engineer" is very impressive with what he has accomplished in software. Dan uses a combination of pre-recorded videos, live workshops, and code examples with excellent content. I can't tell you how impressed I am with Dan's presentation, knowledge and teaching skills. Taking this course with Dan is really interesting and has pushed me forward into Python. I have a strong background in object-oriented language concepts. I am also experienced in IC design, and embedded systems. Not being an accomplished Python programmer, my background is in machine language->FORTRAN->C->C++->.NET, etc. I learned quite a bit about Python and found the presentations/material to be far far better than any Python training I have ever seen. Questions?ĭan's Python course was ridiculously GREAT. More InformationĪ complete description of the course if available here. The registration fee is $190 How to Register?Ĭlick on the register tab located near the top of this page. Dan isĬurrently at Microchip (formerly Microsemi and Symmetricom) leading designĮfforts for advanced frequency and time solutions. Hardware from baseband to antenna for wireless communications systems. MITRE, Airvana, and Hittite Microwave designing and developing transceiver He has held various positions at Signal Technologies, Topic 4: Bit/cycle accurate modelling and analysis using the design examples and simulation packagesĭan Boschen has a MS in Communications and Signal Processing from Northeastern University, with over 25 years of experience in system and hardware design for radio Topic 3: Signal processing simulation with popular packages including NumPy, SciPy, and Matplotlib. Topic 2: Core Python constructs iterators, functions, reading writing data files. Topic 1: Intro to Jupyter Notebooks, the Spyder IDE and the course design examples. Workshop/ Q&A Sessions are 6pm-7:30pm EST on the dates listed below: Pre-recorded lectures (3 hours each) will be distributed one week prior to all Workshop dates. Live Workshops Weekly Through November 17, 2022Īttendees will gain an overall appreciation of using Python and quickly get up to speed in best practice use of Python and related tools specific to modeling and simulation for signal processing analysis and design.First Classes Released: October 22, 2022.Registration deadline: October 22, 2022.Python Applications for Digital Design and Signal Processing Important dates
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