Top 5 Python Libraries - Mr Programmer

Table Of Contents:

• Best Python Libraries You Should Learn

• Top 5 Python Libraries

• Conclusion

Python is Most Used & Most Popular Programming Language Of All Time, It is Mostly used for Machine Learning & AI ( Artificial Intelligence ). The Intresting Thing About Python is It Supports a Large Collection Of Libraries.

If you Don’t Know Python, Then First you Should Learn Python Before Heading to Discover Python Libraries. And If you Already Know Python Or Just a the Basics Of Python Then you Can Go For Any Python Library.

Best Python Libraries You Should Learn

What Is a Library In Python?

A Library is a Like a Bunch of Code Stored In a Particular Package. There are more than 137,000 libraries in python, You can Create many Projects By Using Data Visualization, Machine Learning And Data Manipulation. There are also Many Open-Source Python Libraries.

Top 5 Python Libraries

1. TensorFlow

TensorFlow is a free and open-source software library for machine learning and artificial intelligence. It can be used across a range of tasks but has a particular focus on training and inference of deep neural networks.

Features Of TensorFlow:

Open-source Library
Easy to Run
Fast Debugging
Flexibility
Effective
Scalable

TensorFlow Applications:

Image Recognition
Voice Recognition
Video Detection
Text-based applications

2. NumPy

NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

Features Of NumPy:

It is Fast, Precompiled Functions For Numerical Routines.
Array-Oriented Computing
Supports Object Orientation
It contains tools for integrating code
It consists of broadcasting functions

Applications NumPy:

Used for Data Analysis
Creates Powerful N-Dimensional Arrya
Forms the base of other libraries, such as SciPy and scikit-learn
Replacement of MATLAB when used with SciPy and matplotlib

3. SciPy

SciPy is a free and open-source Python library used for scientific computing and technical computing. SciPy contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers and other tasks common in science and engineering.

Features Of SciPy:

It has a Support of Algorithms & Functions
High Level Commands
Multidimensional image processing
built-in functions for solving differential equations

Applications SciPy:

Multidimensional image operations
Solving differential equations and the Fourier transform
Optimization algorithms
Linear algebra

4. Pandas

pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series. It is free software released under the three-clause BSD license.

Features Of Pandas:

High-level abstraction
Contains high-level data structures and manipulation tools
Input and output tools
Cleaning up data

Applications Pandas:

General data wrangling and data cleaning
Recommendation Systems
Stock Prediction
Analytics

5. Keras

Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. Up until version 2.3, Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML.

Features Of Keras:

Modularity
Large Dataset
Encoding in Keras
Layers in Keras

Applications Keras:

• Deep Learning Models

Conclusion:

Learning a Python Library will help you In Building your Projects, And Makes Your Python Programming Simpler & Easy to Learn For a Beginner. If you are a Beginner then you Should Master Python & Then Go For Python Library. And Learning a Python Library Will Also Reduce your Programming Time Wasted On Solving Bugs & Errors, In Short a Python Library Make a Python Developer Journey Easy to Code.