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Advanced Python concepts. Optimizing Python. Analyzing performance. Optimized use of Numpy and Pandas. Interactions with C Language. Interactions with FORTRAN. Using Cython. Exploring the Pypy. Numba. Concurrency and asynchronous processing. Parallel processing: Threads and processes. Distributed processing: Dask and Pyspark.
· Python High Performance - Second Edition: Build high-performing, concurrent, and distributed applications. Gabriele Lanaro. 2017
· High Performance Python: Practical Performant Programming for Humans. Misha Gorelik e Ian Ozvald. O’Reilly. 2014
· Fluent Python. Luciano Ramalho. O’Reilly. 2015
· Cython: A guide for programmers. Kurt Smith. 2015
· IPython Interactive Computing and Visualization Cookbook - Second Edition: Over 100 hands-on recipes to sharpen your skills in high-performance and data science in the Jupyter Notebook. Cyrille Rossant. 2018
· Elegant SciPy: The Art of Scientific Python. Juan Nunez-Iglesias and Stéfan van der Walt. 2017
· Guide to NumPy: 2nd Edition. Travis E. Oliphant. 2015
· Scientific Computing with Python, Flávio Codeço Coelho. 2007