Study On Packages In Python And Import Statement

Python programming language is widely used by developers now. It is widely accepted because of its features. Python is always considered an easy-to-learn programming language. It is a beginner-friendly programming language. Python is a programming language that is very easy to code. As python is an open-source programming language its source code is available publicly and the users can download it and use it. Another great feature of Python is that it is an extensible language. The codes written in Python can be used in C/C++ or we can compile C/C++ codes in Python. Python is a portable language. This means if we have written a code for windows os, and we need to use that code for macOS or Linux we don’t need to change that code. The same code can be used on multiple platforms.

Packages are considered the backbone of programming. The use of packages helps very much in coding. Without the packages, we have to write codes from the scratch every time. A Python package always includes some modules. Packages are important to programming languages. The modules contained in the packages help in completing complex tasks step by step. In each package in python, it contains a file called _init_.py. This file usually deals with the initialization of the package. In python, we can add custom packages and import them and there are important packages available in it. Let us peek into some of them.

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Python Packages

In common developers create their packages and import them for work. But there are built-in and third-party packages available. Let us check some available packages of python out there.

• Numpy

This package usually deals with scientific calculation. This is a scientific calculation tool in python. It is mainly used for advanced array options. The function of Numpy also includes comprehensive mathematical functions, Random number generation, Linear algebra routines, Fourier transforms, etc. Numpy powers a huge number of libraries of Python.

• Pandas

When the user wants to deal with time series or tabular data, the best choice of package is pandas. So pandas can be defined as efficient data analysis and manipulation tools. Pandas work with the help of data frames. The functions of pandas include reading or writing data from SQL databases, aggregating data, transforming data, and merging and joining data sets.

• Matplotlib

It is the data exploration library. It also helps in data visualization. It helps in creating basic graphs like pie diagrams, plots, histograms, etc. It is the foundation of all other visualization libraries.

• Seaborn

When you need a high-level graphic interface drawing or attractive statistical drawing seaborn is the best option. Using seaborn users can create complex heatmaps, multi-plot grids, and many other types of plots.

• Scikit-learn

Scikit-learn helps in solving the data classification problem. It is an efficient data analysis tool. It is also a beginner-friendly data analysis tool. The functions include Identifying the category of an object, prodigy continuous variable, group of similar objects, etc. People with less programming experience can bank on sci-kit, as it makes machine learning with python accessible to them.

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Python Important Statement

The main aim of an import statement is that it imports code from one module into another program. For these purposes, the user must be aware of the import keyword. If the user wants to import a module called time, then the keyword will be import time. When the user imports the time module, python looks for and finds out the module and imports its code. Multiple modules also can be imported using this feature. To import random with the time, the two keywords have to be used, import time and import random. And another important thing is the import statement. With the help of the import statement, the whole functions from a module can be imported to the code. Another function is the module aliases. In this function, the user can give a name to the default module. For example time ad t. These are the import statements in the Python language

Conclusion

Modules and packages are important factors in programming languages. In python, it is very very important. The packages whether it is a built-in or third party have relevance in python programming. We have discussed the key packages and import statement details above.