What are the roles and responsibilities of a Python Developer?

Introduction 

Python came a long way! Python was just a hobby for its creator “Guido Van Rossum”, who got bored around the Christmas of 1989 and created this masterpiece programming language “Python”. The name “Python” was inspired by an old BBC Comedy sketch series named “Monty Python’s Flying Circus”. He never would have imagined how far this language could go. It was an official language of Google and now it is the most taught language in universities. Since 1999, Python has grown and occupied a lot of areas of App Development, Web Development, Game Development, Data Science, Artificial Intelligence, Machine Learning & IoT Development. Python’s powerful libraries, affordability, dynamic nature and productivity have changed the world of Information Technology. The demand for Python Developers is quite high. If your career goal is to become an aspiring Python developer which is challenging yet rewarding then I will advise you to keep reading this blog to get a professional insight into the roles and responsibilities of a Python Developer.

How to become a Python Developer?

Every programming language requires two things - learning and executing. To become a Python Developer enroll yourself in a Python course. Now, this topic can not be summarised in a few paragraphs, so we have dropped a resource that can guide you on “How to become a Python developer”. Do check out the link.

Python Developer Roles and Responsibilities

There are different roles and responsibilities of a Python Developer based on their job profile, industry and experience. A Python developer typically codes, designs, deploys applications and debugs code. Here are some roles to become an efficient Python Developer.

  • Python Web Developer
  • Software Engineer
  • Machine Learning Engineer
  • Automation Testing Engineer
  • Data Analyst
  • Data Science



Responsibilities of Python Web Developer

  • Needs to write server-side web application logic
  • Working on web frameworks
  • Working closely with the design team to collect client requirements
  • Developing the server-side platform
  • Developing back-end components
  • Supporting the front end developers
  • Connecting the application with other third-party web services
  • Writing reusable codes and many more

Responsibilities of Software Engineer

  • Executing full Software Development Life Cycle (SDLC)
  • Developing flowcharts, documentation and layouts
  • Writing and running codes
  • Integrating applications with third-party services
  • Produce specifications and determine operation feasibility
  • Developing software plans for verification and procedures for quality assurance
  • Developing and maintaining software functionality
  • Ensure software is updated to the latest features
  • Implementing technical and security solutions
  • Deploy and debug programs and any more.

Responsibilities of Machine Learning Engineer 

  • Designing the Machine Learning Systems
  • Developing Machine Learning application
  • Running tests on Machine Learning and extending Machine Learning libraries
  • Machine Learning algorithms and tools should be researched and implemented
  • Research and transform Data Science prototypes
  • Performing statistical analysis of data
  • Confirm data quality
  • Staying up to date with the latest trends in Machine Learning.



Responsibilities of Automation Testing Engineer
  • Identify and select the automation test cases
  • Perform complex system test
  • Applying various designs and documenting the automation test strategy
  • Create an automation test plan
  • Configure Selenium Test Environment (STE) for setting it up
  • Practice in Selenium Test Environment (STE) with an Integrated Development Environment (IDE)
  • Creating, enhancing, debugging and running the test cases
  • Coordinating with the development team
  • Performing A/B testing and many more.
Responsibilities of Data Analyst
  • Working on Python libraries
  • Carrying out Data Analysis interpretation
  • Identifying, analyzing, explaining and exploring trends of data sets
  • Develop and implement data collection systems and databases
  • Receiving data from primary and secondary sources and maintaining data systems
  • Analyzing problems
  • Performing A/B testing.

Responsibilities of Data Science
  • Analyzing data.
  • Identifying valuable data sources and automating collection processes.
  • Analyzing large amounts of information for discovering trends and patterns.
  • Building predictive models and machine learning algorithms .
  • Keeping up with the latest technology trends.
  • Collaborating with engineer and product development team.
  • Proposing solutions and strategies for business challenges.
Conclusion

Learning Python programming language may not suffice for developers, it is very important to have a clear basic knowledge of Python and understand it in detail. Having a broader knowledge and understanding of the roles and responsibilities of a Python Developer is important too.
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