Basic Introduction on Python
Hello Guys, Today i'm going to taking about python programming language.I'm going to make some other blog for more on python programming language.So i hope you get something from this blog and if you have any question then ask i will solve your queries.
Python is a widely used high-level programming language for general-purpose
programming, created by Guido van Rossum. Aninterpreted language, Python has a design philosophy which emphasizes code readability (notably using whitespace indentation to delimit code blocks rather than curly braces or keywords), and a syntax which allows programmers to express
concepts in fewer lines of code than possible in languages such C++ or Java.
- It is a high-level open source programming language.
- It is a powerful ,fast and dynamic.
- It is Object-oriented and Inheritance which is easy to lean.
In C programming language or any language when our application or project require some IBF (in-build function) or method so we import or include the libraries or packages. Libraries and Packages are made of classes and methods.So,in python also there are some libraries are their which we can use the some python IBF(in-build function) for development.
So,In python some basic and important libraries are listed below.
Numpy
Pandas
scipy
ipython
mathplotlib
sklearn (scikit learn)
In python,
Function Name Using for
Numpy used for math function
pandas for manipulating numeric tables & time series
[offers data structures and operation]
scipy for algorithms & math tools
ipython for history & shell capabilities & lot more
mathplotlib A numeric ploting library , useful for data scientist or data analysis.
sklearn (scikit learn) for machine learning & data mining in python.
So this is the end for this blog,hope you guys understand and get something from this blog. If you have any queries then just comment it and also comment for your review about this blog.
Thank you..☺
Numpy used for math function
pandas for manipulating numeric tables & time series
[offers data structures and operation]
scipy for algorithms & math tools
ipython for history & shell capabilities & lot more
mathplotlib A numeric ploting library , useful for data scientist or data analysis.
sklearn (scikit learn) for machine learning & data mining in python.
So this is the end for this blog,hope you guys understand and get something from this blog. If you have any queries then just comment it and also comment for your review about this blog.
Thank you..☺
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