How To Get A Job In Python As A Fresher

5 Tips to Get a Job as a Python Fresher - GeeksforGeeks

This year, Python has become the fourth most popular programming language, and it is no surprise to see a booming market for python developers. The need for data scientists and developers with nuance is on the rise. There is no shortage of Python jobs, considering the importance of Python in fields such as artificial intelligence and machine learning. However, employers often favor candidates with experience. Fresher’s may find it challenging to secure employment as Python developers, but it is not impossible.

As a Python Fresher, we’ll outline the best approaches and strategies and know how to get a job in python as a fresher. Here we go:

  1. Strengthen Your Python Fundamentals 

When you attempt to get a python job interview, especially as a fresher, you must have a basic understanding of the Python language. You should not make any excuses in this particular area! A candidate should have a comprehensive command of Python syntax, statements, variables and functions, OOP concepts, exception handling, and other related concepts. Online classes are available if you need help with this.

As soon as you become proficient with Python’s fundamental concepts, you can move on to learning advanced concepts as well. Furthermore, you can find several official documents, guides, and other learning resources that can aid you in learning and mastering Python effectively.

  1.    2.Learning Python Frameworks

Python offers a wide range of libraries and frameworks. Moreover, Python freshers need to become proficient in these Python web frameworks to find employment. Depending on your needs and convenience, you can select from several Python web frameworks, such as Django, Flask, Web2Py, etc. There are three major Python framework categories – Full-Stack Framework, Microframework and Asynchronous Framework. Django is best for beginners since its part of the standard Python framework. Your experience with these frameworks will let you not only dive deep into Python but also stand out from the crowd of Python beginners.

  1.   3. Identify and build some relevant projects

It is not sufficient to learn Python concepts; you also need to apply those skills and knowledge to get practical experience. Build a few relevant Python projects to get this experience. As a starter, you can develop a number guessing game, hangman game, website blocker, etc. Once you learn some Python web frameworks, you could also try building a few advanced-level projects. A project can add much-needed value to your resume.

When you work on projects, you’ll also learn more about Python IDEs, libraries, etc. as well as other tools & software related to the language. You can also show your work to recruiters by hosting your projects or contributing to various open-source Python projects using well-known platforms such as GitHub etc.

  1.   4. Use Python to Gain Exposure to Trending Technologies

Python works with almost every new tech trend, whether it’s AI, Internet of Things (IoT), cloud computing, etc. And learning these new technologies using Python will make you industry-ready and give you an edge over other Python professionals during your career search. This will show recruiters you’re up-to-date with the latest industry trends.

It’ll also help you figure out what your career goal is. As an example, if you want to work in Data Science, after learning Python you can study Data Science concepts and then build various projects. Similarly, if you’re looking to build a career in Artificial Intelligence & Machine Learning – Python is for you!

Working with Python-based apps will help you get more specific with what you want to do with your career and get ready for the future.

  1.  5.  Intern on a Project & Expand Your Network

You’ll likely ignore this after reading this heading. As a Python fresher, this approach can boost your chances of getting a job with python by 4-5x. An internship offers many benefits such as letting the employer know that you have a genuine interest and concern for Python, getting some worthwhile experience, etc.

Also, develop your network – recruiters prefer applicants who have completed several projects and internships in the past. It is much easier to deal with professionals who refer people in their field. Thus, get in touch with those professionals working in industries like Data Science, Machine Learning, Web Development, etc.

If you follow the above strategies diligently, you can land a Python job as a fresher with ease.

You may also consider these Python job profiles if you are a Python professional:

  • Python Developer
  • Machine Learning Expert
  • Data Scientist / Data Analyst
  • Research Analyst
  • Quality Assurance Engineer – Python & More.

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