1. *Level of familiarity with python* - 2.5 years, previous projects - a. chest XRay analysis using deep learning (modules used - Pytorch, sklearn), b. Extracting features from real time call center data (modules used - htk, numpy, sklearn, keras), c. despeckiling of OCT images 2. *Mathematical education level* - Senior undergraduate pursuing Electronics and Communication Engineering, subjects undertaken - Linear Algebra, numerical analysis, Dynamical Systems and fractals, Matrix theory and probability, Imformation theory and applications, cryptographs, signals and systems 3. *Particular expertise* - Digital Signal Processing, Deep Learning and Image Computer Vision 4. *Particular algorithmic interests* - mostly signal processing and algebraic algorithms 5. *level of familiarity with symbolic math systems "computer algebra" *- Medium, because of courses undertaken (Numerical analysis, data structure and algos) 6. *familiarity with SymPy* - beginner, have used it before but not extensively Hey guys, I am looking forward to contributing to SymPy I have contributes to GNU Radio, stan before but I am fairly new to SymPy, any advices or help would be really appreciated.
-- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to sympy+unsubscr...@googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/5c2a7cbd-7091-4d68-a93a-6fcc62d791a7%40googlegroups.com.