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. Data science training in Chennai. Are you interested Call now:+91 996 252 8294

1. PYTHON LIBRARIES FOR
DATA SCIENCE

2. 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.

3. 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.

4. BASIC LIBRARIES FOR DATA SCIENCE
1.Numpy
2.Scipy
3.Pandai
4.Python
5.matplotlib

5. 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.

6. 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.

7. 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.

8. 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.
 Are you looking for Data science with Python training in
Bangalore ?

9. 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.
Are you interested in Online data science training ?

10. LIBRARIES FOR MACHINE
LEARNING
1.Scikit
2.Theano
3.Tensor
Are you interested in Data science with python
Training in Chennai ?

11. LIBRARIES FOR DATA MINING AND
NATURAL LANGUAGE PROCESSING
1.Scrapping
2.Nltk
3.Collaboration
Data science training in Kalyan nagar

12. LIBRARIES FOR PLOTTING AND
VISUALIZATIONS
1.Seaborn
2.Bokeh makes
3.Basemap
4.Networkx
Data science training in kalyan nagar

13. http//www.besanttechnologies.com