data science with python

1
Data Science With Python
2
Introduction

• When it comes to data science application, it
  gives an extensive library to bargain with and
  not suggest to this is open source, interpreted
  high-level tools. Some programming languages
  exist in the mind of data science. Python is one
  the best certain language. That its necessary
  component for data science plus vice versa. That
  is introduced by learning scientific computing
  and added numpy.
• Python is a common-goal programming language,
  that is growing more and more famous for creating
  data science. Unlike some other Python tutorial,
  that program focuses on Python especially for
  data science. So the most considerable, Python is
  extensively used in the scientific and research
  summation because this is easy to use has very
  easy syntax that makes a very simple adapt for
  people who dont have a software engineer
  background. Exact data sure of that as well.

3
Python Data Structures

• So in python, they are the following data
  structures, lists, tuple, dictionaries. set also
  available only in python 2.5 old versions so the
  list is like 1d arrays but you can also create a
  list of other lists and take a multidimensional
  array. A data structure fundamentally just says
  that they are a structure that can be data
  concurrently, in other words, say it raises a
  collection of relevant data. And the completed-in
  data structure in python language Tuple,
  Dictionary list, set, string so we will learn how
  to use each of them.
• Tuple
• Dictionary
• List
• Set
• String

4
Python Libraries For Data Science

• Numpy
• Keras
• SciPy
• Pandas
• SciKit-Learn
• Matplotlib
• Seaborn
• Theano
• Tensorflow

5
Some additional libraries maybe you need

• Data Exploration finding out further about the
  data we hold
• Data Munging cleaning the data and performing by
  it to perform it rightly suit statistical
  modeling.
• Predictive Modeling moving the actual algorithms
  and should fun.

6
Conclusion

• I wish this tutorial will help you maximise your
  effectiveness when beginning with data science in
  Python. I am sure that not only provided you an
  opinion about basic data analysis techniques but
  that also gave you how to execute any of the more
  sophisticated methods available today. You should
  more verify out our frank Python course and
  suddenly jump over to learn how to apply That for
  Data Science.
• Data science with python is truly an excellent
  tool and is growing an increasingly attractive
  language with data scientists. The object being,
  thats easy to read, blends fine with other
  databases including tools like Spark and Hadoop.
  Majorly, this has a famous computational power
  and has the highest data analytics libraries.