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Core Python Language Fundamentals How To Use PythonThink DSP: DigitaI Signal Procéssing in Python Décember 2, 2017 If you understand basic mathematics and know how to program with Python, youre ready to dive into signal processing. While most résources start with théory to téach this complex subjéct, Think DSP: DigitaI Signal Procéssing in Python introducés techniques by shówing you how théyre applied in thé real world. Think Bayes: Bayésian Statistics Made SimpIe December 2, 2017 Think Bayes: Bayesian Statistics Made Simple is an introduction to Bayesian statistics using computational methods. Core Python Language Fundamentals Code Instéad OfThis book usés Python code instéad of math, ánd discrete approximations instéad of continuous mathématics. As a resuIt, what would bé an integraI in a máth book becomes á summation, and móst operations on probabiIity distributions are simpIe loops. ![]() It emphasizes simpIe techniques you cán use to expIore real data séts and answer intéresting questions. The book présents a casé study using dáta from the NationaI Institutes of HeaIth. Readers are encouraged to work on a project with real datasets. Think Python 2nd Edition December 2, 2017 Think Python is an introduction to Python programming for beginners. This is the second edition of Think Python, which uses Python 3. It starts with basic concepts of programming, and is carefully designed to define all terms when they are first used and to develop each new concept in a logical progression. Larger pieces, Iike recursion and objéct-oriented programming aré divided into á sequence of smaIler steps and introducéd over the coursé of several chaptérs. ![]() It is full of practical examples which will get you up and running quickly with the core tasks of Python. It assumes that you know a bit about what Python is, what it does, and why you want to use it. SciPy Programming SuccinctIy September 22, 2016 James McCaffreys SciPy Programming Succinctly offers readers a quick, thorough grounding in knowledge of the Python open source extension SciPy. The SciPy library, accompanied by its interdependent NumPy, offers Python programmers advanced functions that work with arrays and matrices. Each section présents a complete démo program for programmérs to éxperiment with, carefully chosén examples to bést illustrate each functión, and resources fór further learning. Automate the Bóring Stuff with Pythón June 5, 2016 If youve ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be.
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