Backend In Python: 6 Reasons To Choose Python For Backend Development

By | February 8, 2024

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backend in python

Python is everybody’s favourite and why not? It is easy to learn, implement and much more. With Python development becomes a lot easier. Let us prove this phrase under this article.

Backend in python: Python is a user friendly, high level, interpreted language which is easy to learn consisting of many module packages and libraries which make development easy. Everybody can learn python due to the ease of readiness and better syntax it provides.

Free Backend Development Course
Free Backend Development Course

In the present era of artificial intelligence, everybody wants faster execution of works and less lags. Python coordinates well with most of the advanced technologies and help to create applications faster with fewer line of codes, which helps in faster development. 

Python has a large library support consisting of many predefined methods ready at our disposal which saves a lot of time. Apart from this there are many other reasons which we will explore here under this blog post.

Backend in Python Langauge

Python is a high level interpreted programming language which is very popular for its simplicity, readabilitym and versatility it offers to every person who wants to learn coding or develop applications using it. 

Due to clean and concise syntax of python there are fewer lines of codes. Python integrates well with the emerging technologies like machine learning, data science, web development, artificial intelligence, automation and many other tasks. 

Python is well preferred for backend development language for creating many applications. There are many tools and frameworks in python which help developers to coordinate well with the project, save a lot of time and also make the process effective. 

Also Read: A/B Testing in Data Science [using Python]

Why is Python loved by Developers?

Python language has been showing an exponential growth since last few years among the developers as well as beginners. It is one of the fastest growing programming language all over the world. Python is famous among every level of programmers. It is also taught in schools and is always the first choice of every oragnization. 

Python developers receive many opportunities if they are good with their work. Loving this language is obvious due to the features and tools it provides to the developers. 

Python is a beginner friendly language with a proper readable and concise coding syntaxes which helps developers save a lot of time and also make their work effective. Python language consists of a vast library support which powers developers with powerful functionalities through a predefined module. 

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Top 6 Reasons to Choose Backend in Python 

Python dominates the world of programming language with being the first choice for most of the future programmers. There are many strong reasons for the wide popularity of this language. Let us know a few of them here.

1. Ease of use 

This is the first reason for python being the first choice for every nine out of ten programmers out there. The ease of writing python codes and readable syntax help making development easy and saves a lot of time during development. 

The use of indentation instead of curly braces  organize codes better and makes them easier to understand. Python codes are more inclined towards natural language which makes it easy even for beginners who are new to programming. Python is used in web development which helps to make website development faster and effective. Many websites use python for API development, user authentication, data handling, front end design, and much more. Building prototypes with python is quicker and effective.

2. Object Oriented Programming Langauge 

Python supports object oriented programming which is one of the most important feature of this language making it more effective. Due to object oriented programming failure rates reduce as faults in one part of the code do not affect others. 

With the support of OOPs, python codes are reusable, modular, and organized. They are well structured and less complex. The features of OOPs such as encapsulation, abstraction, and polymorphism are well integrated with python. 

3. Huge Frameworks and Libraries

Python consists of a wide range of libraries and frameworks full of advanced features and predefined modules. The frameweoks and libraries simplify and accelerate application development with pre defined modules, and tools. Some of the popular libraries in Python are Django, Numpy, Pandas, TensorFlow, PyTorch, Flask, etc. 

4. Huge Active Community Support

Python language has a extensive community support online where many software developers communicate and contribute on open projects. With the development of python popularity, their community also strengthened and grew. The contribution and collective work has resulted in such a extensive and features rich programming lanagueg with so many library support and frameworks for development. 

There are plenty of resources and support available for developers whenever needed. They can easily communicate with elite developers from all around the world. These communities also support developers on cross platforms like stackoverflow, github, discord and many more. 

5. Versatility and Speed

Python is a versatile language as it can be easily integrated with diverse domains such as web development, data science, machine learning, artificial intelligence, computing and more. Such diverse versatiblity of this language makes it the first choice for every developer whether a beginner or experienced. Python provides quick prototyping which helps in faster development and quick deployment. 

6. Scalability and Performance

Python can efficiently handle heavy workloads and consists of good scalability to handle heavy loads on the applications easily. There are many management techniques available on Python which can help in managing the extensive flow of data and users. Python also supports multithreading which can help in implementing multiple tasks parallely. 

There are many libraries in python which helps in optimizing performance. Developers can use them to produce high optimized code applications. With the support of OOPs the code written can also be reused easily. 

Codes written in Python can run on different platforms and operating systems such as Windows, Mac,Linus and others. There are many popular platforms made using python such as YouTube, Stack Overflow, Discord, etc. Python can easily handle HTTP request and response easily with the help of Django, Flask, Guvicorn, etc. 

Also Check: Python vs Java: Which is Best for Machine learning algorithm

Backend in Python Using Python Libraries 

Python consists of a huge library and framework supports which consists of the predefined functions and modules for developers. With the help of these modules developers do not need to write repetitive codes for some frequent problems which helps to save time and make coding effective. 

1. Python Libraries for data science 

List of important python libraries used for data science given in the table below.

Backend in Python Libraries for Data Science 
Pandas
Numpy
Matplotlib
Seaborn
Plotly 
SpaCy
OpenCV

2. Python Libraries for Web Development

List of important python libraries used for web development given in the table below.

Backend in Python Libraries for Web Development
Django
Flask
SQLAIchemy
Web2py
Pyramid
ChrryPy
Tornado

3. Python Libraries for Machine Learning

List of important python libraries used for Machine Learning given in the table below.

Backend in Python Libraries for Machine Learning
NumPy
Scikit Learn 
Seaborn
PyTorch
Seaborn
Theano
Keras
Matplotlib

Python Backend Developer Skills 

Some major skills are mandatory to become a python backend developer in 2024. 

  • Basics of python: Candidates must have a good knowledge of python syntax and its fundamentals.
    • Data Structures: Having a good command over data structures and algorithms is crucial for a developer role.
  • Knowledge of API: API is used in connecting various programs online. It is important to have a good knowledge of API.
  • Python Libraries: Backend in python requires candidates to have a good knowledge of important python libraries to make their performance better and effective.

Python Frameworks: Programmers must be well familiar with major frameworks that are mostly used in python development.

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Backend in Python FAQs

Why is python popular among developers?

Python is a beginner friendly language with a proper readable and concise coding syntaxes which helps developers save a lot of time and also make their work effective. Python language consists of a vast library support which powers developers with powerful functionalities through a predefined module.

Is python good for backend development?

Python is one of the most favourite programming language for developers around the world. It consists of a wide library support with extensive framework which makes development quick and cost effective.

What is the best language for backend development?

There are many backend languages available such as Java, Python, C##, Ruby, PHP, etc. All these languages can be used for backend development. However, python provides an easy coding experience and is considered best in this segment.

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