Learn Python for successful career roadmap

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Python programming language has got its popularity worldwide, and demand is increasing every day for the Python developer in the market. Searches related to becoming a Python developer are also at the top because of the emergence of demand for professionalism.

In this article, you will get to understand the ways and techniques to structurally approach for becoming a Python developer.

Python developer

Job designation and description perfectly signify the meaning for Python developer. The person will be an all-rounder because it is not constrained to only one role; rather, he will be responsible for many activities like web development, Data analytics automation testing, and the list continuous.

Purpose of becoming a Python developer

For the past some years, this programming language has gotten its reach, and the graph is moving towards on-trend. It is very accessible and also user-friendly for the developer.


Job openings related to this profession are really increased in the state, and if you are strong enough in handling Python programming languages, then you are entitled to be in the best job of python career market.

There are various features in order to become a well professional Python developer. Syntax and readability are the basic usages of Python easily. There is no need for effort from developers since it is not very complex to handle; rather, it’s user-friendly.

  • It’s a general programming language
  • Multitudes of libraries to meet the requirements
  • Open-source platform option
  • Multiple platforms like Windows, Linux, Mac, and many others have this platform.

Companies comfortable with Python

  • Google
  • Mozilla Firefox
  • IBM
  • Netflix
  • NASA
  • YouTube
  • Facebook and others

Being a Python developer, you can be assured about paying well for the job you are doing since this profession has got increased opportunity, and there is no downfall in it.

Roles and responsibility

Software engineer/developer

It is important to be strong in Python open framework course and also should be well was din RM points. The person should have a current understanding with regard to the multiprocessor architecture and application integration with other parameters. Front end skills are mandatory.

For being a software developer writing scripts and administering system knowledge is very important.

Python web developer

It is mandatory because it’s very helpful to write server-side WebLogic. The professional should be knowledgeable in web frameworks, HTML, and CSS, as they are the fundamentals for web development. Profound knowledge in Python scripts becomes an easy option for a developer to use web applications.

Data analyst

Here number plays an important role to carry out any kind of data interpretation and producer perfect analysis. The aspirant should be very much strong enough to understand mathematics, statistics, and programming languages.

Know Python libraries like

  • Numpy
  • Pandas
  • Matplotlib
  • Seaborn which are effective for visualization and data manipulation.

Data scientist

Having detailed knowledge with respect to data analysis, manipulation, statistics, mathematics, and interpretation will help the person to make proper decisions. Alongside now, it is taking a different level of learning machine learning, artificial intelligence and algorithms like regression analysis, R and others. is going to be completely and all-round development and you need to gain the proficiency related to this Data Scientist.

Machine learning engineer

I need to understand the concept in deep-dive since it has got neural network architecture, machine learning algorithms, and much more proficiency in the relevant field. To become a machine learning engineer, the person should be strong in all these understandings only then he will be able to sustain in the market for a very long period. It is not fair programming going to work for a machine learning engineer; rather, he should be strong in Python libraries and also work beyond this nature and concepts.

Artificial intelligence engineer

Programming skills, data science knowledge, data modeling concepts, deep learning, and neural network understanding are the major components required to be in the profession called artificial intelligence engineer. The person is completely demanded to work like a machine, or should I also understand how humans would be reacting to the scenario of the situation, and this is what we call it as cognitive simulation.

Automation testing engineer

Programming skills like Python are the basics for becoming an automation test engineer. Selenium WebDriver and related technologies like a TLC methodology, test NG is important. You will have to be working with identifying software processes for automation ability. Alongside the person is expected to design, execute scripts to check the functionality of the expressed process.

Find below the realistic career path to become a Python developer

Take a clear approach to understand the skills required and ways to master them.

Fundamentals of python

  • Variables, data types
  • Algorithms and data structures
  • Loops, conditional and control statements
  • Operations and exception handling
  • Modules and file handling
  • Database knowledge

 Web frameworks

  • Django or flask
  • HTML and CSS
  • MVC-mvt architecture
  • Server-side development
  • Front end skills
  • Scriptwriting

 Moving towards data science

  • Mathematics, statistics
  • Libraries
  • Data visualizations
  • Data interpretation and analysis
  • Data manipulation
  • Database knowledge

Learning this knowledge will definitely take you to the next level of achieving the profession called a data scientist.

Deep learning

  • Neural network architecture
  • Natural language processing

These are the basic techniques to be learned for the deep learning, and the professional is interested to learn the advanced models then he can very well become an engineer

Automation testing

  • Selenium web driver, selenium grid
  • TestNG

Mentioned two parameters will help you to understand the automation testing, and you can perform your automation skills in a complete understanding.


These are the basic steps that can really help you to become a Python developer and also adopt the structured process to achieve the goal. Learning all the mentioned parameters and knowledge can definitely enhance you to the next level of achieving or becoming a successful Python developer. Choose the right institute to pursue your Python programming language course. Once you start exploring the language, you will get to know the pioneering moment in the field and can become a successful Python developer in the job market.

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