Numpy package in Python | pip install numpy in Python
Numpy package in Python and pip install numpy in Python programming language. In this tutorial, we are going to discuss the packages in python language. Python language has the packages use packages to make the ML easy. The packages are used for the latest languages as Data science and AI. The numpy arrays are the multidimensional arrays and stored values of the same data types. After understanding the python language from core move to the next stage and testing libraries. There are many libraries in python language as per need we have to choose. The packages are structuring the many package and modules that help in the data set to access. The packages are used to store the subpackges and modules are used. The package is a bundle of the pre build functionality like a toolbox filled with tools. The tools are compared with the functions in python language.
Packages are used for tasks like:-
- Visualizing the data.
- Statistics of data
- ML
- And the geospatial data.
Installation of the package :-
Steps:-
- We have to open a terminal to access the commands line.
- Have to active the Enviourement to add a package.
- Then you can install the package.
Creating the packages :-
It is a package that creates the file name _init_py and considered as a package and creates modules and sub packages.
The _init_py file can leave the code initialization for the package.
To learn about packages we have to know the modules and begin with the name and .py extension.
The package is a collection of the modules and distinguish from the directory contains the script.
The package is nested to depth and contains the init_.py file.
After importing the module objects are created by python and type the module.
The module and package has a difference in its file system
We create a directory and give the package name to its operation.
Put classes and functions in it.
We create the _init.py directory and know the package.
Example:-
Create the directory with name employee on home.
Then create the source file name ITE employee.py on path home.
def getITNames ():
list= [”David”,”Nick”,”Martin”]
return List;
Creating the python files with name BPO employees.py and get function as getBPONames ().
Test.py:-
import student
print(student.getNames ())
Output:-
[David‘,’Nick’,’Martin’]
Numpy or pip install numpy in Python :-
The build in package PIP is used here and the Numpy will stand for the Numerical python and provides the features for operations in python.
The vectorization and mathematical operations are used for the installation.
The packages present in the numpy used for scientific computing and different operations.
It is the library build for the programming and adds the functions as high-level mathematical functions and matrices.
Installation is:-
pips install numpy
NTLK (Natural language Toolkit package :-
This package is used for the programming and build to help in the statistical NLP (Natural language processing).
This library contains text processing for stemming, semantic reasoning, etc.
It will also provide the sample data and graphical demo,
Installation:-
pip install ntlk
Scikit-learn(sklearn) package :-
It is the python programming library for ML application.
The sklearn will offer features for an algorithm such as classification, regression, etc.
This will also design the package to integrate with ML and Data science libraries Scipy and Numpy.
Example:-
pip install sklearn
Speech package:-
The package will build for python programming and provides speech recognition and text-to-speech.
Getting packages:-
While the installation of packages we have to check the location at which it is maintained.
The packages are as follows:-
Conda:-It is used and maintained for the anaconda distribution of python.
The installation of the library from conda we have to use the syntax of conda as install at the command line.
Conda-forge:-Is used in community maintained and found installing the packages using conda-forge.
Pip:-It is a package index used to install the python packages.
