What Does A Python Developer Do? & How To Become A Python Developer?

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Relia Software


Steps to become a Python developer include: Step 1: Plan your career; Step 2: Get an education (Degree and Certificate); Step 3: Acquire practical experience.

What Does A Python Developer Do? | Relia Software

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Python is an object-oriented language that is high-level, portable, and has a large standard library. This dynamically typed, freely available, open source language is both integrated and interpreted. Python's ease of use and adaptability have made it a popular choice as a first programming language for beginners around the world. Thus, what does a python developer exactly do? And, how to become a python developer? Let’s discover via this article!

>> Read more:

What Is A Python Developer?

A Python Developer is a member of the software development team who is proficient in developing, designing, and implementing Python-based software. In addition, a python developer must be able to spot bugs (debug) in Python-based development projects.

Python developers often focus on the "back end" (or server side) of an application. Since the advent of machine learning and data science, however, Python programmers' responsibilities have expanded to include more than just writing code and fixing bugs. They also help apps connect to third-party web services and lend a hand to the front-end development team in bringing the features they've designed for the user interface to life.

Python is a fantastic, accessible programming language for beginners. Its flexibility allows developers to tackle a wide range of projects, including:

  • Web Development
  • Deployment Services
  • Data Analysis
  • Scripting
  • Automation
  • Web Scraping
  • Design Web Coding Frameworks

Python developers can do a lot because of the language's simplicity and adaptability. In the next sections, we will learn all about the specific responsibilities of Python programmers.

Python programmers can do a lot because of the language's simplicity and adaptability. - Relia Software
Python programmers can do a lot because of the language's simplicity and adaptability
(Source: Internet)

Types of Python Developers

There are two main types of Python developers: Full-Stack and Back-End.

Full-Stack Python Developer:

A Full-Stack Python developer is responsible for both the front-end and back-end of a website's application. They need to be well-versed in both client-side and server-side development languages like HTML, CSS, JavaScript, and Python. Such a programmer is well-versed in all levels of the software development process.

Back-End Python developer:

A backend Python developer is responsible for the creation and upkeep of an application's server. Server-side programming languages, such as Python, Ruby, Java, and PHP, are a must-have for this role. This programmer manages the application's data layer, including its databases, online services, and application programming interfaces.

The Demand For Python In Developers’ Community

When it comes to writing code, every programmer has their own language of choice. While many developers have a preference for one programming language over another, Python has a few advantages that set it apart.

Python's popularity as a back-end service language among industry heavyweights suggests there must be good justification for this trend. Python's strengths in the following areas distinguish it from other back-end languages:

  • Python, in contrast to Ruby, is lauded for its user-friendliness and advanced features.
  • Java is not as dynamic as Python, which allows for changes to be made to the code's structure during execution as opposed to just before compilation.
  • When it comes to machine learning projects, Python is the way to go.
  • Python is a more adaptable and readable alternative to PHP.
  • Python's inexpensive development cost makes it a popular choice among new businesses.
  • Python, in contrast to C, lacks a strong historical presence but is rapidly rising to prominence.

Python's popularity as a first programming language choice can be attributed to the many advantages listed above. Since Python has become the first-choice programming language and has climbed to the top of the list, its developers have attracted a sizable fan base. 

As a result of Python's growing popularity and high demand, companies are eager to find programmers fluent in the language. Python developers are well compensated in India because of the language's potential for data analysis and machine learning in conjunction with backend development.

A number of sectors are thriving thanks to Python-based application infrastructure. Here are some examples of sectors that have benefited from the adoption of Python:

Fintech: Efficiency and quick responses are essential for financial apps and sites. Because of the ease with which the language and python libraries may be used, programmers don't just make apps with the intention of fixing bugs.

EdTech: Every EdTech platform aspires to manage scalability and digitally handle large amounts of data. Python has been used by top EdTech platforms like Study Bee for Google Classroom and Julliard School to create a scalable and effective learning management system.

Healthcare: When it comes to patient records, many hospitals and clinics are abandoning paper papers in favor of digital content. Python is used for everything from managing virtual checkups to obtaining in-depth information about the app. Python is popular in this field because of the data analysis opportunities offered by AI and ML. The health care system is being digitally transformed by this.

>> You may be interested in: Data Security in Healthcare Software: Why Is It Important?

Python Developers’ Job Description 

Job Responsibilities:

  • Produce code that works as intended and can be used again;
  • Build a flexible and user-friendly program by focusing on the server-side code;
  • Create, update, and debug web-based applications, software, and services;
  • Make mockups and organize tests;
  • Join together parts of the application's front end;
  • Give methods for keeping information safe and secure;
  • Share your analytical and creative thinking with the rest of your team through open communication;
  • Provide assurance that every work is completed to the client's satisfaction;
  • Contribute to the growth of Python's library and framework ecosystem (including Flask, Django, Pylons, Pyramid, etc.);
  • Create more efficient back-end parts;
  • Analyze Python programs that use Machine Learning and/or Deep Learning features;
  • Put together the necessary paperwork;
  • Boost the performance of pre existing infrastructures;
  • Feature-request evaluation.

Necessary Prerequisites:

  • Bachelor's degree in Computer Science, Information Technology, or a related discipline
  • Experience in the workplace is a plus.
  • Fluency in ORM Library Use
  • Experienced with Front-End Technologies 
  • Proficient in 1 Python Framework
  • Understanding of Version Control Systems
  • Fundamentals of Machine learning/AI (Artificial Intelligence)

>> You may consider: The Impacts Of No-Code AI On App Development

Crucial Skills Of A Python Developer

Hard Skills - Required Technical Proficiency

Technology At The Front-End

While a Python developer's primary focus is on the backend of an application, many often deal with the frontend as part of a larger development team.

A Python developer's proficiency with front-end technologies like HTML, CSS, and JavaScript is essential to their success in the field. With a firm grounding in the foundations, you'll be in a better position to comprehend the application's user interface and visual aesthetics and offer insightful feedback.

>> Read more: How To Enhance Healthcare UI Design in Mobile Apps?

Machine Learning & Artificial Intelligence

Machine learning seems to be the wave of the future in the technological world. Learning the fundamentals of machine learning will set you apart from other engineers and look great on your CV. Every developer is on the lookout for the next big thing in machine learning and artificial intelligence.

Version Control

Data and the developer are a perfect combination. A programmer's day is filled with a plethora of information, from original programs to their altered variants. Knowing how to use a version control system, such as Git, BeanStalk, etc., will help you immensely in this regard.

Framework For Automated Testing

Python has built-in support for test automation frameworks, but any good Python developer should know the notion inside and out. As a Python developer, you're responsible for troubleshooting mistakes, and automation testing technologies like Selenium, TestComplete, etc. will make this process easier and faster.

Algorithms & Data Structures

Today's large product-based or technology-based businesses strongly favor data structures and algorithms. The use of data structures and algorithms improves the speed with which coding questions and practical problems can be answered. Every company wants to hire a programmer who can produce solid results quickly. 

As a result, a Python developer would benefit greatly from taking courses on structure and algorithm design.

Soft Skills

As you work to improve your Python development skills, it's important to remember that technical proficiency alone won't get you far in a competitive job market. Soft skills, such as one's attitude, demeanor, and approach to problems, are also highly sought for by all employers. The Python developer's soft skills should include the following:

  • Writing code that is both straightforward and efficient.
  • Good logical and algorithmic reasoning capabilities or analytical abilities.
  • The ability to communicate effectively and amicably with consumers, testers, designers, and developers.
  • Superior problem-solving abilities.
  • Being adept at organizing tasks, managing projects, and managing time.
  • Ability to think creatively and unconventionally.

Common Tools Python Developers Often Use


It is a Python-based, open-source, high-level neural grid library that is built on four guiding concepts: 

  • User-friendliness
  • Modularity
  • Simple extensibility
  • Operation 

Furthermore, Keras is ideally suited for machine learning and deep learning. 

PyCharm IDE 

Reputable frameworks like Flask, Django, Google App Engine, etc. are supported by this tool. Additionally, it provides PEP8 checks, smart auto-completion, and other tools for enhancing the quality of the code. Testing support, inspection, and trustworthy intelligent automated code rewriting are all provided by PyCharm.

Pip Package

Python already has this program installed as its default package management. In order to aid in categorizing the same packages for various desktop or virtual environments, Pip package records your package management in a requirement file. 

Python Anywhere

Python Anywhere is one of the most trusted tools used by Python developers due to its dependability. End-to-end SDLC (Software Development Life Cycle) requirements are ignored. This PaaS (Platform as a Service) enables programmers to run, create, and host Python programs on the web. You may quickly deploy the codebase using this tool. Decentralization of the hosting further supports remote learning, research, and development.

>> Read more: 6 Software Development Life Cycle (SDLC) Procedures

Sublime Text

Free Python code editor Sublime Text comes with tools including multiple selections, a command panel, and syntax highlighting. Additionally, it supports Python development frameworks such as Django and Flask.

Visual Studio Code

Microsoft's Visual Studio Code is a popular code editor with many useful extensions for common programming activities like debugging and refactoring.

Jupyter Notebook

You can use this tool to add mathematical notations inside markdown containers. It comes pre-configured with a console-based record authoring process. The browser-based web mixes engaging visuals, calculations, math, and written explanations. It provides a list of the calculations' inputs and outputs. A developer has access to all they require for interactive evolution and documentation. 

Common Tools Python Developers Often Use - Relia Software
Common Tools Python Developers Often Use (Source: Internet)

Potential Career Opportunities of Python Developers In Different Fields

In the previous section, we saw how versatile Python is and how huge IT businesses want to utilize it. Therefore, after becoming proficient in the Python programming language and having the appropriate skill set, you could apply for the following positions.

Beginning Software Developer

A software developer is a specialist who creates, assembles, and tests software. You will report to a manager as a beginning developer. Although not all software products use Python as a programming language, many tech companies do. This is where Python plays a key role. Here is where you demonstrate your knowledge.

Fresher Python engineers are ideal for this position because they are just getting started and can learn so much from a manager.

Web Developer

A web developer is someone who works on the product's planning, creation, and testing. Writing, designing, and creating software as well as keeping in touch with colleagues are duties of a software developer. 

It takes front-end, back-end, and API development to create an application. Python is seen as operating as a server that creates a website's back end. It includes a large selection of frameworks and libraries that make it simple and rapid to build applications. 

>> Read more: How to Choose the Best Web Development Company?

Data Scientist

One of the most sought-after job titles in the IT industry is data scientist who uses cutting-edge analytics methods to extract useful information from the provided data set for commercial decision-making. 

Data science requires a strong background in both programming and statistics. To create artificial intelligence systems, data scientists utilize machine learning algorithms to recognize text, pictures, and other data. A data scientist is in charge of gathering data, processing it, and providing the team with insightful insights. 

Data Analyst

Data analysts develop data-driven judgments and generate forecasts using a given amount of data. The procedure entails gathering data, getting it ready, exploring it, modeling it, and producing reports. 

Python and Data Analyst go together like peanut butter and jelly. Python has some dedicated libraries and routines for handling data. To be a data analyst, you must possess knowledge in statistics and data visualization. Understanding and preparing datasets, working on data normalization, developing models, and evaluating them are among the duties. 

Machine Learning Engineer 

Engineers that specialize in machine learning write programs that enable machines to function. As a machine learning engineer, you will be expected to implement data modeling for organizational solutions and possess strong analytical and research skills. 

You can develop a profession in machine learning using Python with the aid of this course.  An algorithm is used by machine learning to extract patterns. It is the direction of technology. Python libraries are crucial for processing and transforming data since they contain well-written code and eliminate the need for explicit coding. 

Game Developer

You can learn Python the best by creating a gaming application, and you can also create a great and challenging job. Basic tools are needed by developers in order to create fantastic gaming applications. You must create games and develop the front-end and back-end as a game developer. Here, Python may be used to create games that are entertaining and educational at the same time.

Automation Testing Engineer

Python is the greatest programming language to use when automating test cases. It is a technique that enables the usage of automated frameworks and tools. The nicest part is that the Python standard library offers top-notch tools for unit testing. The greatest tools for developers, for example, are Robot and Pytest. 

Ethical Hacker

Hackers are those who take important information from websites and use it for their own purposes. This is known as ethical hacking. However, some hackers have been classified as both white-hat and black-hat hackers based on their work. 

You will either be referred to as a "white hat" or a "black hat" depending on how ethically you hack. Ethical hacking is the profession for you if you want to work for a company collecting private information about a website. Python-based ethical hacking provides a technique to legally obtain sensitive data about a business or organization.

How to Become a Python Developer?

Step 1: Plan your career

No matter what your starting skill level or hobbies are, you must have a plan. Planning will benefit you over time by letting you know how long the process will take and helping you achieve your objectives more effectively. Start by posing the following queries to yourself:

  • How would you like to study Python? (Coding bootcamp, online lesson, or Python programming course)
  • What Python areas pique your interest? (The common areas are mentioned in the previous part.)
  • Your estimated time: We are unable to provide you with a specific time estimate because everyone will spend a different amount of time to create their own route. However, don't adhere too rigidly to your own strategy. Even the most well-laid plans might fail, so be patient with your own course and keep in mind to welcome narrative changes.

Step 2: Get an education


A computer science degree gives potential Python software engineers a well-rounded education. A bachelor's degree in information science or software engineering is another option. These degrees will provide you with a math and computer science background that will enable you to develop stronger skills in software design, programming, and testing.

However, a three-or four-year degree in coding requires a considerable time and financial commitment. A coding degree, on the other hand, shows that you made the effort to learn how to code. For consideration as a Python software developer, some businesses require a degree, while others are content with just credentials and experience.

Python Certificate  

While certification courses provide a paper stating that you have completed a set amount of training for a specific vocation, degrees confer an academic title after several years of study. As a result, earning a Python certification demonstrates your dedication to the language and greatly enhances your resume.

Prior to receiving a degree, you must gain Python expertise, which can take a few months or several years of freelancing programming or attending a boot camp. You'll be prepared to take the exam once you've gained this experience. 

Step 3: Acquire practical experience 

For better or worse, most employers favor hiring candidates with the necessary experience. For students or freshly graduated programmers, this may provide a paradoxical dilemma. If employers will only hire those with experience, how do you get your foot in the door? You may occasionally discover someone who will take a chance on you, but for the most part, you will need to get experience in other ways.

There are many additional ways to differentiate yourself from the competitors and attract hiring managers' attention on your CV:

  • Intern for a corporation
  • Participate in a hackathon
  • Participate in open-source initiatives or work on your own projects

There are probably resources available to you whether you're enrolled in a degree program or a coding bootcamp so you can find opportunities and network. You'll have to perform a little more of the labor-intensive work yourself if you choose to educate yourself. Whatever your circumstance, you should research:

  • How to build a portfolio?
  • Refreshing your CV
  • Creating your own coding projects
  • Performing open-source project work
  • Building your brand

Keeping track of everything you do in a portfolio is an excellent idea. The more attention you put to paperwork now, the more prepared you'll be when questioned about it during an interview. 

Step 4: Develop your knowledge in other areas outside technical ones

Along with these technical capabilities, you should 

  • Practice your communication abilities. 
  • Attempt to sharpen your logical thinking. 
  • Create a mindset for addressing problems.
  • Think about how each issue will be applied in practice. 
  • Use your ideas to get understanding of the inner workings of any situation.

After mastering all of the aforementioned concepts and becoming known as the greatest Python programmer, you can get a long way. Never forget to put your knowledge into practice. This will make your future as a Python developer quite promising.

Step 5: Read programming books in Python

There is constantly something new to learn, even if you are an experienced Python coder. Python programming books can provide a wealth of original knowledge. You gain confidence as you gain knowledge.

Step 6: Read the code written by others in your field of expertise

One of the best ways to build your coding style is to observe other Python programmers. Many GitHub users have distinctive coding styles that are structured. To get a sense of the various styles accessible, look at other codes that are comparable to your level of expertise.

>> Read more: Accelerating Software Development with ChatGPT, GitHub Copilot, and Tabnine

Besides, let’s try to be an active part of the programming community. You know, a wise saying goes, "Alone we can do so little; together we can do so much." You can never learn to change, never learn to accept new viewpoints, and never get to see the other side of things if you confine yourself to simply your knowledge. 

This is not meant to pressure you into enrolling in programming-specific professional courses; rather, it is meant to emphasize the need for communication even if you are a self-learner. You cannot imagine the quantity of knowledge you could gain from becoming an active member of the community.

Let’s share codes, talk about problems, pick up new insights, and strike up interesting discussions.

Step 7: Create and update a blog

Your profile's credibility is increased with a blog. You can talk about how you got started as a beginner, your development as a Python developer, the information sources you used, the projects you worked on, etc. Because of all of these factors, potential employers may be able to tell from your profile what kind of coding style you have.

>> Read more about other programming languages:


All throughout the world, there is a huge need for Python programmers. The rise of the data science community, which includes AI and ML, is largely responsible for its popularity; many sectors, including healthcare, education, and finance, make use of ML software to enhance their operations and spur innovation.

This bodes well for Python programmers moving forward. ML, AI, data science, data analytics, and so on all provide promising employment paths. You can put your web development and automation scripting abilities to good use and make a living wage in a wide variety of settings, from small businesses to multinational conglomerates.

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