10 best Python Packages to explore in 2024

Define Python 

Python can be used effectively to create any kind of program that does not need direct access to the computer hardware. It is a general-purpose programming language based on the ABC language. It is high-level programming with an open-source that was formulated in 1991 by Guido van Rossum. This language is presented by (PSF) Python Software Foundation).

Google App Engine, Maya, YouTube, Google search, iRobot machines etc. are the application and companies that assigned Python at the time of Python development. In the comparison of other languages like C, C++ this program gets slower although its development time is quick.

Features of Python 

Image Credit: https://www.shiksha.com/online-courses/articles/top-10-features-of-python/

Some of the benefit you can find in the above image and some we have discussed below:

• It has a pre-compiled code and it is comprehended, incorporated and directly executed language that means before executing your program or system you don’t have to assemble it.
• As in comparison with other programing language like Java, C, C++ etc. it is easy and simple.
• It has a huge standard Library and having an open source nature.
• This program is object-oriented that is easy to learn with less amount of keyword as simple as the other language learning English .
• It has garbage collection and support Graphical User interface (GUI)

Benefits of Python

• Huge Libraries: In Python languages, it is not necessary to write code on a manual basis because it has a substantial library that includes code for several objectives like database, email, image manipulation, CGI, unit testing etc.
• Reasonable Productivity Quality: As compared with other languages like Java, C + + has a higher productivity. By this logic, you will do more things with less writing.
• Easy and Readability: Even for the non-programmer, this python program is easy to read and understand. As with other programs like java you have to create a class ‘Hello World’ but in python, you only need a print statement.
• Easy to learn with low time: Python language is easy and has smaller code, so it’s easy to understand, learn this program in a short time.
• Object-Oriented: Python is an object-oriented programming language. Its function supports its code, object and classes and this class permits its function into one.
• Migratory: In python programming, you can run it anywhere and you need to process the code only once. This is also known as WORA ( WRITE ONCE RUN ANYWHERE)

 

Top 10 Python Package Every Developer Should Learn

1. Pillow

A modern version of PIL (Python Image Library) is Pillow. Pillow is a company where you can trust blindly and it deals with any type of images format and images and is founded on the PIL code structure. It also provides backing from the society who solves the problems, works on the queries and they are interested to give the challenges as well the answer.

Some characteristics of pillow are as follow:

* Web, PDF, PNG, GIF, ICO, EPS, IM, EPS, PCX, JPEG, Web are the various files that are supported by Pillow.

* Some of the image filters are also endorsed by Pillow such as SMOOTH, CONTOUR, BLUR, SHARPEN, DETAIL etc.

2. Numpy

One of the famous arrays is Numpy but it’s not only procuring arrays as well as providing the tool to operate arrays, it is reasonable and quick for controlling arrays and matrices. One of the strongest Python library that is utilized for numerical computations for organizing matrices and arrays. It is utilized in data analysis, machine learning, scientific computing and utilized in another field and you can use it easily.

Some characteristics of Numpy are as follow:

* Numpy is effortlessly incorporated with some of the programming languages like C, C++ etc.

* On changing the N-dimensional arrays, Numpy formulated the latest and deleted the old arrays.

3. MoviePy

It is like Pillow but deals in videos as pillow deals in images. It is not a calculated tool for higher data manipulation. One of the disadvantages that are important to mention here is it does not have both images as well as video function, it only deals in videos, if someone checks a video editing app then they find image editing as well with the features of video editing but this tool only provides you with full features of video editing. This Python package is utilized for manipulating , video editing and for creating videos. MoviePy is in top from other Python package such as decorator, imageio, Numpy etc.

4. Requests

It is published under Apache 2.0 license and has a huge and good HTTP library that has many characteristics and permits you to handle SSL, seed parameters towards URLs,  certificate verifications and custom headers. One of the important and main features is you can download multiple files at a time and it has some other characteristics with Unicode response bodies,  protection over cord, cookies, connection pooling etc.

5. Keras

This is written in Python with an open-source deep neural network library. It has a modular structure with a huge and important Python library. It provides you with many tools and with those tools, you can easily text and can work with several images. It can operate on many platforms such as TensorFlow, PaidML, Microsoft Cognitive Toolkit.

6. Scipy

It’s an open-source python library free of cost which is acceptable for machine learning. It is providing their customers with a better service and unraveling their problems and trying to give their all question answers. One of the other and important features of Scipy is also providing the image. The best way to use Scipy is from direct sources or from outside sources.

7. PyTorch

An open-source python machine learning library is formulated by Facebook A. I research the group and it is utilized for some applications which have the features of multi-variational such as computer vision. With some of the other libraries, you can find the uses of PyTorch here like Numba and Cython. This is beneficial for both the languages C++ and Python and it also permits the communion of P2P that means Peer to Peer.

8. Pandas

This is written in a Python language and here simply you can use any type of data like time series and structure. Many of the formats were assisted by Pandas such as Excel, CSV, HDF5, JSON as much more. It also delivers several DataFrames and Series, as well it supposes you to analyze, establish, represent etc.

9. Scrapy

This is a framework that is open-source and written in a Python programming language. You can find this free at no cost and this is used in many big organizations for web scraping and as well it contributes a direction to extract data by utilizing APIs, automated testing, monitoring, web crawler. It is also one of the most famous Python Libraries.

10.Pendulum

It is formulated to take place by doing the replacement of datetime. Firstly understand the concept of datetime .Datetime consists of dates and times and it does all of its work by taking the priorities of time. Pendulum works as similar as datetime or you can say it is based on datetime, here you can use it with the code.

Conclusion: