Career as Python Developer - A Complete Guide

Overview

Python is a high-level, object-oriented programming language that is widely used to create websites and applications, automate operations, and conduct data analysis. According to the Stack Overflow traffic, Python is the fastest-growing popular programming language.

Python developers are software developers who specialize in building server-side web application logic. Their role is to develop, debug, and implement application projects using the Python programming language.

They usually create back-end components, connect the software to third-party web services, and support front-end developers by connecting their work with the Python app.

Python Developer Job Description

A Python developer uses the Python programming language to create server-side web application logic. Python developers must be skilled in a variety of areas, including front-end development and programming, database architecture, server-side application, as well as business logic, and user experience.

Python developers must have a solid foundation in computer programming, as well as knowledge of software engineering practices. It is proficient in the language and understands how to use it to develop software applications. They also comprehend coding principles and are capable of developing efficient and effective systems.

Roles and Responsibilities of a Python Developer

Python Developer Roles

The role of a Python developer is extremely important. An organization classifies the Python developer role into three levels for using Python programming language for projects and applications:

Python Developer Responsibilities

A Python developer is responsible for the following tasks:

• Writing code that is scalable, efficient, testable, and reusable.
• Updating, analyzing, and adding modifications to the current software according to the business requirements.
• Integration of user-friendly components into various software, as well as data storage solutions.
• Developing - Backend features to improve performance and responsiveness.
• Designing and implementing - Applications with high availability and low latency, data protection, and security features.
• Performing testing and debugging of software applications using Python frameworks.
• Increasing the functionality of existing software systems.
• Developing digital technologies for online traffic monitoring.
• Developing predictive features for Artificial Intelligence and Machine learning-based features.

Skills required for being a Python Developer

Python developers are involved in activities other than coding, thus they must have a wide range of relevant skill sets. Although Python is easy to learn because of its simple syntax, users can continue in their professions by learning intermediate and advanced Python coding skills.

Some essential skills for becoming a Python developer are as follows:

Good understanding of core Python: A Python Developer must have a deep understanding of Python that goes beyond what other developers in data science, web development, or other industries are expected to have.

A Python Developer must be familiar with the concepts of object-oriented programming, basic Python syntax, primitive data types, data structure semantics, file handling, exception handling, Generators, Iterators, and arithmetic operators.

Frameworks: Frameworks make it easier for developers to develop applications (or software). They provide the automatic implementation of redundant activities, save development time, and lay a strong emphasis on application logic rather than a common element.

Using a Python framework is a simple way to streamline and optimize the development process. To determine which Python framework is ideal for your software project, start by comparing the various types of frameworks available. Some examples of Python frameworks are Django, Flask, CherryPy, Bottle, Dash, Falcon, and AIOHTTP.

Front-end Technologies: If you believe that being a Python developer means simply working with back-end technologies, you may be going wrong. A Python developer is sometimes required to work with front-end technologies to guarantee that the client-side matches the server side.

In a company context, this would frequently involve the Project Managers, UI/UX team, and SCRUM Masters to improve workflow synchronization. Working on the front-end provides you with a clear image of the application's design as well as its functionality.

However, just because you don't have these responsibilities doesn't mean you shouldn't concentrate on your front-end programming skills. A working knowledge of a few front-end technologies such as HTML, CSS, JavaScript, and AngularJs will be useful.

Analytical Skills: Python is all about data science analysis. Analytical skills are essential for becoming a good Python coder. Good analytical skills allow you to create better websites and applications. The platform's sophistication is entirely dependent on how well the programmer applied analytical logic to the code.

Artificial Intelligence (AI) and Machine Learning (ML): There is no way to avoid Artificial Intelligence and Machine Learning in today's world. Even simple web apps can benefit from these cutting-edge technologies. This is especially true if you intend to use Python in the context of data science, where you may be working with neural networks, data visualization, data analysis, and data collecting.

To truly master AI/Machine Learning with Python, you must first grasp Machine Learning Algorithms (a branch of AI that tries to develop systems that can learn from data patterns automatically).

Version Control: Several updates and versions occur during the development phase of any software project built in Python code or other programming languages. Version control allows for the complete traceability of even minor changes. It becomes really useful when working on a project with other developers.

You'll come across keywords like "push", "commit," "pull," and "fork" while learning version control, all of which link to the core principals that enable version control. Remember that this will be the second most needed tool after your IDE or code editor.

Object Relational Mappers: ORMs provide a high-level abstraction over a relational database, allowing a developer to create, read, update, and delete data and schemas in their database using Python code rather than writing SQL queries.

Instead of writing long SQL statements or stored procedures, developers can work with a database using the programming language they are most familiar with. The option to write Python code instead of SQL can help to speed up web application development, particularly at the start of a project. Some examples of popular ORMs are Prisma2, Sequelize, and TypeORM.

Python libraries: Libraries are an excellent way for developers to share useful code. Coders in their working environment either create libraries or use open-source libraries created by other developers.

There is a very high possibility that everything you intend to develop has already been developed and is ready for use, with proper documentation. Some examples of Python libraries that are popular among developers are Tensorflow, Pyinstaller, FastApi, Faker, and Pillow.

Since you'll be using these packages virtually daily, a knowledgeable Python developer must be capable of finding, understanding, and correctly implementing packages offered by the Python ecosystem.

Troubleshooting abilities: To be a successful Python developer, you must be able to troubleshoot because problems might occur when you least expect them, and most people do not have the solution at hand.

Communication Skills: Python developers must convey technical aspects to non-technical staff members in order to do their work properly. As a result, excellent communication skills are required for becoming a successful developer, regardless of the job at hand.

Listening carefully to what other people are saying is one of the most useful talents you can nurture if you want to become a successful Python developer since it allows you to grasp each person's unique viewpoint on problems and ways that they might be able to address them.

Salary of a Python Developer based on Company and Location

If you have hands-on practice with Python then some of the high-paying jobs are waiting for you. There will be plenty of opportunities for you whether you are a beginner or an experienced Python developer.

Some companies have to develop their best work using the Python programming language. This shows the importance of the employer/company in determining the salary of a Python developer.

The below table provides insights of the best Python developer recruiting companies and the average salary they provide to their developers.

Have you ever wondered why locations like Banglore, New Delhi, Gurgaon, and Pune are so densely populated with working people?

This is because these are some of the places with a higher rate of career opportunities than Jaipur or Ranchi. Every place has its unique set of operating conditions and requirements. As a result, location is an important factor in determining the salary structure of a python developer.

Frequently Asked Questions (FAQs)

Is Python developer a good career?

Yes, working as a Python developer is currently a good career. Python developers are in great demand not just because Python is a popular and extensively used language, but also because Python has become a solution in many various fields.

From web applications to machine learning and data science. Also, Python is continuously expanding especially in a startup environment where time and money are generally limited.

What career opportunities can you get with Python?

Python being a high-level object-oriented programming language is high in demand. Python can open the door to various job opportunities. Some of which are:

• Python Developer
• Data Scientist
• Quality Assurance Engineer
• Data Analyst
• Machine learning engineer
• Product Manager
• Educator

Which language to choose Python or Java?

Python is simpler and easier to understand, while Java is faster and more portable. Both programming languages are well-established, platform-independent, and part of a large community. Both Python and Java programming languages have benefits and drawbacks.

It is entirely up to you to choose the language for your project. Python is dynamically coded, whereas Java is statically coded. Java works on the Write Once, Use Anywhere (WORA) principle, whereas Python requires a Python compiler to write and run code.

Python's industrial demand may overtake Java's in the next few days. This does not imply that Java will go out of trend ( both can co-exist). At the end, both programming languages are good. A programmer can easily code in both languages, depending on his or her choice.

Does Python have a future?

Python is a user-friendly cross-platform programming language. It is now one of the most popular programming languages. The good news is that it is still evolving, and demand for Python developers in every field is growing.

This prominence and acceptance by millions of people demonstrates its worth and ensures that the Python programming language has a bright future. It will maintain its lead over the other coding languages.

So, whether you're thinking of studying it or using it for a software development project, this can be a good option.

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