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jamessidis

Best Python Libraries for Data Science - 0 views

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    Libraries are collection of functions and methods that enable you to perform a wide variety of actions without writing the code yourself. First of all, there are over 137.000 libraries in Python. In this article we are going to learn : Scientific Computing Libraries in Python Visualization Libraries in Python High-Level Machine Learning and Deep Learning Libraries in Python Deep Learning Libraries in Python Python Libraries for NLP ( Natural Language Processing )
baliar

Give a Book Blog: National Libraries Day - 0 views

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    Give a Book Blog: National Libraries Day
jamessidis

Best Way to Learn Numpy - 0 views

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    NumPy is the fundamental package for scientific computing in Python. Numpy stands for Numerical Python. If you want to work with machine learning or data science, Numpy is a Python library you will mostly use. It is a Python library that provides a multidimensional array object for fast operations on arrays, including mathematical, logical, shape manipulation, sorting, selecting, I/O, discrete Fourier transforms, basic linear algebra, basic statistical operations, and much more.
anonymous

OpenCV Tutorial - javatpoint - 0 views

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    OpenCV is a Python open-source library, which is used for computer vision in Artificial intelligence, Machine Learning, face recognition, etc.
reckoner reckoner

Python and HTML Processing - 0 views

  • Various Web surfing tasks that I regularly perform could be made much easier, and less tedious, if I could only use Python to fetch the HTML pages and to process them, yielding the information I really need. In this document I attempt to describe HTML processing in Python using readily available tools and libraries.
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    Various Web surfing tasks that I regularly perform could be made much easier, and less tedious, if I could only use Python to fetch the HTML pages and to process them, yielding the information I really need. In this document I attempt to describe HTML pro
x y

Python Library Reference - 0 views

shared by x y on 28 Jun 07 - Cached
reckoner reckoner

Charming Python: Using state machines - 2 views

  • Charming Python: Using state machinesAlgorithms and programming approaches in Python
reckoner reckoner

Charming Python: SimPy simplifies complex models - 0 views

  • Charming Python: SimPy simplifies complex models
reckoner reckoner

Charming Python: Inside Python's implementations - 0 views

  • To attempt to explain it in the simplest terms, a continuation is a representation, at a particular point in a program, of everything the program is capable of doing subsequently. A continuation is a potential that depends on initial conditions. Rather than loop in a traditional way, it is possible to invoke the same continuation recursively with different initial conditions. One broad claim I have read is that continuations, in a theoretical sense, are more fundamental and underlie every other control structure. Don't worry if these ideas cause your brain to melt; that is a normal reaction.
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