Python libraries for data science (1)

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Python libraries for data science
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What is python?

• Python is often a choice for development that
  needs to be applied for census and data analysis
  to work, or data scientists whose work should be
  integrated into web applications or the
  production environment.
• In particular, python actually looks at the
  learning point of the machine.
• The combination of python's teaching and library
  libraries makes it particularly suited to develop
  modern lenses and predecessors forecasts directly
  connected to the production process.

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Cont..

• One of the biggest assets in python is the large
  library. Libraries are the types and timetables
  of a particular language.
• Hard libraries can make it easier for developers
  to perform complex tasks and not rewrite many
  code lines.

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BASIC LIBRARIES FOR DATA SCIENCE

• 1.Numpy
• 2.Scipy
• 3.Pandai
• 4.Python
• 5.matplotlib

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numpy

• It is a basic library of computer science labs,
  and many of the libraries in this list using the
  array numpy as the key and their basic
  production.
• In short, it presents the arrangement arrows and
  array array elements and the power of development
  to perform mathematical functions and the
  matrices of the matrices with the least number of
  possible codes.

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Scipy

• It is based on numpy to add a collection of
  highly algorithms to judge and provide the
  information presented.
• This package includes complex multi-tasking
  operations to solve different equations,
  simplification and more.

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Pandas

• It integrates data structures and tools for
  effective financial analysis, statistics, social
  studies and engineering.
• pandas works perfectly with incomplete
  information, unified and unlabeled (ie, what type
  of data is most likely to meet in the real world)
  and provides reserved, deleted, distributed,
  distributed and stereo formatting.

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ipython

• Increases the functionality of python interpreter
  with a shell that combines a well-developed
  image, rich media, sconces, complete tabs and
  repetition of the order history.
• It also works as a reliable translator for your
  programs that can actually be useful for errors.
  if you have ever used mathematical or matlab, you
  should feel comfortable with ipython.
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matplotlib

• It is the standard python library to create 2d
  graphics and graphs. it is a very low level,
  which means more require additional instructions
  to some of the libraries with more advanced
  photographs and better numbers.
• However, the loose left side. With sufficient
  commands, you can make any type of graph you want
  a mattotlib.
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LIBRARIES FOR MACHINE LEARNING

• 1.Scikit
• 2.Theano
• 3.Tensor
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LIBRARIES FOR DATA MINING AND NATURAL LANGUAGE
PROCESSING

• 1.Scrapping
• 2.Nltk
• 3.Collaboration
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LIBRARIES FOR PLOTTING AND VISUALIZATIONS

• 1.Seaborn
• 2.Bokeh makes
• 3.Basemap
• 4.Networkx
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