How to Become a Python Back-End Developer?

What is a Python Developer?

A Python Developer creates, designs, and develops Python-based computer programs and applications for a software team. In Python-based development projects, Backend Python developers are responsible for finding and fixing errors (debugging).

Python is an exceptional programming language for beginners. Python programmers do a range of jobs, including:

• Design for Web Development Scripts
• New code web frameworks
• Services for the Deployment of Automation
• Data Analysis
• Internet scavenging

This simple and versatile programming language can be used by Backend Python developers to achieve a lot.

Must Have Key Skills of a Backend Python Developer

For web development, there are primarily two Backend Python frameworks. They are Flask and Django. You can utilize the framework for web development with any one of them.

I'll try to give a brief explanation of each of them. Python is used to create the Flask web development framework. A framework aids in the proper framing or arrangement of a website.

Backend Python programmers should possess the following abilities and credentials:

• Familiarity with basic front-end technologies and Python web frameworks and event-driven programming
• Excellent communication and problem-solving abilities and high attention to detail
• Knowledge of code versioning tools to a high level
• Adequate familiarity with server-side templating languages
• Strong aptitude for debugging and unit testing
• Simple familiarity with front-end technologies like HTML5, JavaScript, and CSS3

Understanding Basics of Python

Python's fundamental syntax is incredibly user-friendly and straightforward. Although there are some similarities to the grammar of Java, JavaScript, and Perl, it is virtually like English.

Python's syntax is unique from all other programming languages in three important ways. These are

1. Python Indentation

Indentation is a feature implemented in most computer languages to improve code readability. However, indentation is highly important in Python.

The white spaces that are inserted before each line of code are what are known as indentation. Instead of using brackets, Python employs use indentation to signify the start of a block of code. Python programmers must always take care to appropriately indent their code.

Let's look at a simple illustration to better grasp indentation levels.

Output

2. Python Declaration

Python's dynamic typing system makes it considerably distinct from other programming languages in terms of how variables are declared. In Python, the data type does not have to be specified at declaration time; it can be changed as the program is running. In Python, a variable's data type does not need to be declared.

Declaring a variable is not a command available in Python. When a value is applied to a variable, it becomes one. The data type of a variable is determined by the value that is allocated to it.

As a result, in Python, defining a variable is relatively easy.

• Just give it a name
• Give it the necessary value.

The assigned value will automatically establish the variable's data type, so we don't need to specify it manually.

Declare an integer variable To declare an integer variable −

• Name the variable and assign an integer value to it.

Example

Output

Declare a String Variable

The variable will transform into a string variable after you give it a string value. The string value can be assigned in either single or double quotations in Python.

Output

Declare a Float Variable

A float variable can be declared either by assigning a float value or another way is by typecasting.

We will use both.

Example

Output

When utilizing integer values as strings, the string variable can alternatively be defined via type casting.

As opposed to certain other languages, where we can only assign a variable's value to the stated data type. This means that throughout the program, an integer variable may only be given an integer value. The variables in Python, however, are not of a specific data type. Even after it has been configured, their datatype is still changeable.

The idea above will be made clearer by the example that follows.

Example

Output

Variable x was of type int, however, it transformed into a string variable later on when a string value is assigned to it.

3. Python Comments

Python code may be explained using comments. Code can be made more understandable by using comments. When testing code, comments can be used to stop execution.

The 3 types of comments in Python are:

• Single-Line Comments: These are added by first adding the "#" sign and then the appropriate comment.
• Multi-Line Comments: To add these, either use the delimiter or the "#" sign on each line (").
• Docstring is a built-in feature of Python that is accessed by using the doc attribute.

Creating a Comment

Comments start with a #, and Python will ignore them:

Output

Comments can be placed at the end of a line, and Python will ignore the rest of the line:

Output

A comment does not have to be text that explains the code, it can also be used to prevent Python from executing code:

Output

Multi Line Comments

Python does not have a syntax for multi-line comments.

To add a multiline comment you could simply insert a # for each line:

Output

Alternately,  perhaps not as intended, you can use a multiline string.

You may add a multiline string (in triple quotes) to your code and insert your remark inside of it because Python will disregard string literals that are not assigned to a variable:

Output

Example of Python Program

Let's develop a basic Python program now that we know what Python is and what it can accomplish to put our knowledge to use!

Have a look at this Python program sample.

Write a Python Application That Asks the User for Two Integers and Prints the Total.

• Using Python's "input" function, we obtained two integers from the user and computed their total in the code snippet above.
• The "print" feature was then used to display the amount.
• We also included the appropriate comment in the same place.

Python Advantages

Learning Python is much more fascinating because of its benefits! Here are several examples:

• There are several Backend Python jobs accessible in the sector.
• The pay is fantastic and highly alluring.
• Backend Python can be learned quickly.
• Python's flexibility also enables the developer to be flexible.

Learn Python in detail from https://www.scaler.com/topics/python/.

Front End Framework of Python

It will be highly beneficial if you have some experience with front-end web technologies while you learn about back-end frameworks. You must have a fundamental knowledge of HTML, CSS, and some Javascript. The body's accessories that improve a person's appearance are represented by CSS and JavaScript, respectively. HTML is the skeleton that specifies the structure. The backend developer will frequently need to work with certain frontend technology as well.

In some businesses, the same developer is responsible for both the front end and the back end. They are sometimes referred to as full-stack developers. Therefore, you may become a full-stack developer and have many more employment options if you are skilled in both frontend and backend technologies.

Backend Framework in Python

Programmers have long favored Python as a language to use. Many schools now introduce Python as the first programming language to students because of its straightforward syntax. Python is a wise choice if your API calls for a lot of calculations.

If you choose to utilize Python to build your backend, you'll need to master the following skills.

Decide on a Python Framework

The two sorts of frameworks accessible in Python are full-stack frameworks and micro-frameworks.

Before choosing a framework, take a step back and consider the size and complexity of your project.

A full-stack framework will be useful if you're constructing a large application with many intricate features. If your software will be brief and straightforward, a micro-framework is a smart choice.

Let's examine some of the most well-liked Python frameworks to determine which one you ought to pick for your Backend Python development.

Option 1: Full-stack Framework — Django

High-level Python Web framework Django encourages quick development as well as a simple, practical design. It has tools and capabilities that let you focus on creating your app rather than creating something entirely new. It is both free and open-source. This is now the most widely used Backend Python web framework.

The most popular databases that Django supports are PostgreSQL, MySQL, SQLite, and Oracle, though you can use whatever database you like if you utilize third-party drivers.

Option 2: Full-stack Framework — Pyramid

If you want to try something else, Pyramid is a good Django substitute. Pyramid is an open-source framework for Backend Python web applications. It makes an effort to be clear-cut and can handle both big and little applications. It is an open source WSGI web framework based on the Model-View-Controller (MVC) architectural pattern.

Option 3: Micro-framework — Flask

A web application developer can develop applications using the Web Application Framework, often known as the Web Framework, without having to worry about low-level issues like protocols, thread management, etc. Flask is a web application framework written in Python. Let's say you want to create a simple app that doesn't need a full-stack framework. An option is micro frameworks. The BSD license applies to the Python microframework Flask. The lightweight programming language Flask is uncomplicated to learn. It is created by Armin Ronacher, the founder of Pocco, a global community of Python fans. The Werkzeug WSGI toolkit and Jinja2 template engine serve as the foundation for Flask. They're both Pocco projects.

Option 4: Web framework for building APIs - FastAPI

Python APIs can be created with FastAPI, a cutting-edge, high-performance web framework, using common type hints. Its essential characteristics are as follows:

• Runs quickly: Starlette and pydantic provide it performance that is on par with NodeJS and Goes.
• It enables huge gains in development time and is quick to code.
• Fewer bugs: It lessens the chance of mistakes caused by humans.
• It provides excellent editor support, completeness everywhere, and fast debugging.
• Simple: It's created to be simple to use and understand, saving you time from having to read manuals.
• It reduces code duplication, in brief.
• Robust: It offers production-ready code with interactive documentation that is generated automatically.
• It is built on OpenAPI and JSON Schema, two open standards for APIs.

How Much Does a Backend Python Developer Earn?

There is a constant demand for Backend Python engineers in multinational tech companies, increasing searches concerning Python jobs; salary-related searches on job boards are also rising.

Python Salary Concerning Experience

Around 25 million people work as software engineers globally at the moment, 8.2 million of them people work as Backend Python developers. It's interesting to note that, according to a SlashData analysis, the number of Python developers has already surpassed the 7.6 million global Java developers. The typical Python pay depending on the job experience is listed below.

Entry-Level Python Developer Salary

The typical starting pay for a Backend Python developer ranges from 59,888 USD to 111,605 USD per year.

Junior Python Developer Salary

The median salary for junior Backend Python developers, which is also referred to as mid-level, is 117,940 USD per year.

Senior Python Developer Salary

Senior Backend Python developers typically make between 132,789 and 145,923 USD per year.

Python Developer Salary in India

The growing demand for Backend Python developers in India is reflected in their wages. Depending on their expertise and talents, Backend PythonPython developers may often expect to earn wages in the region of $4,000 to$8,000 per year.

With incomes between $6,000 and$8,000 per year, Bangalore and Hyderabad are two of the top destinations for Python developers. You may make between $4,000 and$6,000 per year as a python developer in Chennai and Pune, which are both fantastic possibilities. The wage range for Python developers should be between $4,000 and$6,000 per year, and suitable possibilities include Delhi, Mumbai, and Kolkata.

Future Scope

In reality, Python is quickly rising to the top as the language of choice for data scientists. Python is at the top of the table in IEEE Spectrum's interactive ranking of the best programming languages. Following it in popularity are C, Java, and C++. The results of a HackerRank poll are consistent. Citing the Love-Hate index shows how Python is favored by developers of all ages. The research continues, "Python is also the most sought-after language among developers overall, and a sizable portion already understands it."

Additional Resources

1. Application of Python