Python…honestly, the language needs no introduction!! The demand and popularity of this programming language have grown significantly, particularly in the last 5-6 years. At various renowned indices, Python is enjoying the #1 rank among numerous programming languages.
“Python has been an important part of Google since the beginning and remains so as the system grows and evolves. Today dozens of Google engineers use Python, and we’re looking for more people with skills in this language.” – This statement given by Peter Norvig (Director of Research at Google) a few years ago can give you a glimpse of the dominance of this language in the tech world.
One of the major reasons behind such a huge demand and usage of Python, especially among beginners, is it’s easy to read, learn, and implement nature. Also, the language leverages you with some prominent features such as rich library support, easy integration with other languages, huge community support, and many more. Other than that, Python’s remarkable compatibility with trending tech domains like Artificial Intelligence, Machine Learning, Data Science, etc. raises its demand graph among the developers a bit higher.
In simple words, if you’re a proficient Python Programmer then you don’t need to worry about career opportunities as almost every IT giant is working with this particular language, and considering its compatibility with upcoming technologies – the future of Python Developers seems more bright. Also, you need to know, in India, the average salary of an Entry-Level Python Developer is around 4-6 LPA and it can go higher as well depending on your skillset.
But…is it really that much easy to get a job as a Python Fresher…??
YES, but only if you will follow the right approaches and that too in a consistent manner. Now, you must be thinking what are these right approaches, right? Okay, let us understand it with an example – suppose there is a guy, A. A listens from somewhere that learning Python can land him up a job opportunity. Now, what A does is – he watches few videos on YouTube or reads few tutorials over the web. Even his concepts don’t get cleared by doing this, but he crams all the topics abruptly just for the sake of completing the syllabus and getting a job.
Now, what do you think – will he be able to secure a job? Chances are more that he won’t be able to clear a Python Developer interview. Meanwhile, if he cracks the interview by any coincidence – then still during the job or in the long run, he will be definitely going to face numerous difficulties.
So, now we’re going to tell you about the right approaches and strategies that you need to follow to get a job as a Python Fresher. Let’s get started:
1. Get Your Python Fundamentals Strong
The very first thing that an interviewer expects from you, especially when you’re a fresher, is that the basics and fundamentals of the Python language must be cleared to you. You’re not supposed to make any excuse at least in this particular area! You should have a clear understanding of Python syntax, statements, variables & operators, control structures, functions & modules, OOP concepts, exception handling, and various other concepts before going out for a Python interview. There are numerous quality courses available over the web that can help you in this. For instance, you can prefer the GeeksforGeeks Free Python Course For Beginners where you’ll get to learn all the Python fundamentals free of cost.
After becoming proficient with the fundamental concepts of Python, you can opt to learn advanced concepts as well. In addition, there are various official documents, guides, and other learning resources available that can help you to learn and master Python effectively.
2. Learn Python Frameworks
Python is widely known for providing you with a huge collection of libraries and frameworks. Furthermore, you need to learn and get proficient with these Python web frameworks to take a step ahead towards your goal of getting a job as a Python fresher. There are various Python web frameworks out there such as Django, Flask, Web2Py, etc. – though you don’t need to learn each and every framework as you can opt for the ones as per your requirements and convenience. These Python frameworks are majorly classified into 3 categories – Full-Stack Framework, Microframework, and the latest one in the club, Asynchronous Framework. As a beginner, you’re recommended to start with Django as it is considered the standard framework for Python by many developers. An adequate amount of experience with these frameworks will not only help you to dive deeper into the Python world but will also help you to stand out among other Python freshers.
3. Build Some Relevant Projects
To be honest, only learning the Python concepts is not sufficient, and you’re required to implement all those learnings and knowledge to get practical exposure. And you can do the same by building several relevant Python projects! You can start it by building several minor projects such as Number guessing game, Hangman Game, Website Blocker, and many others. Also, you can opt to build few advanced-level projects once you’ll learn several Python web frameworks and other trending technologies (we’ll discuss it further in the article). You need to know that projects indeed add much-needed value to your resume.
Let us tell you when you build projects, it also helps you to become more familiar and comfortable with the tools & software related to the language such as Python IDEs, libraries, etc. Also, you can host your projects online or contribute to some open-source Python projects using various renowned platforms such as GitHub, etc. as it will help you to showcase your work conveniently to the recruiters.
4. Get Exposure to Trending Technologies Using Python
Needless to say, Python is being used with almost every latest tech trend whether it be Artificial Intelligence, Internet of Things (IoT), Cloud Computing, or any other. And getting exposure to these upcoming technologies using Python will not only make you industry-ready but will also give you an edge over others during the career opportunity for Python professionals. It will let the recruiters know that you’re quite aware and updated with the latest industry trends.
Other than that, it will also give you direction about your specific career goal. For instance, if you want to make a career in Data Science then after learning Python what you can do is learn Data Science concepts and can build several respective projects as well. Similarly, if you’re looking forward to building a career in Artificial Intelligence & Machine Learning domain – you can work on these technologies using Python and so on…!!
In short, working with the trending technologies that are using Python will help you to go more specific with your career goals and make you ready for the future job market.
5. Do an Internship & Grow Your Network
Just after reading this heading, many of you will definitely ignore this approach. But honestly, this single approach can boost your chance of getting a job as a Python fresher by 4-5x times. There are many benefits of doing an internship such as it lets the employer know that you are having a genuine interest and concern towards Python, you get some worthwhile experience by working on real-time projects, etc.
Also, you’re required to grow your professional network – you need to know that recruiters usually prefer those freshers who have created several projects & done some relevant internships in the past and when they are being referred by some of the genuine people in the industry, things become much easier. Hence, you need to connect with those professionals who are already working in the same industry in which you are aspiring to get into such as Data Science, Machine learning, Web Development, etc.
Pretty much sure, if you’ll follow the above-mentioned approaches consistently and genuinely – you will be able to land up a Python job as a fresher without any hassle.
In addition, we’ve shortlisted few job profiles that you can consider as a Python Professional – check below:
- Python Developer
- Machine Learning Engineer
- Data Scientist / Data Analyst
- Research Analyst
- Quality Assurance Engineer – Python
- and many more.
Wrapping Up…!! – Doesn’t matter you’re a fresher or an experienced one, if you’re having some decent Python skills then sooner or later you will land up a job opportunity as Python is here to stay in the industry. Though, in the case of freshers, following the approaches that are provided in this article will surely help them secure a job as a Python Professional more conveniently and efficiently.
Attention geek! Strengthen your foundations with the Python Programming Foundation Course and learn the basics.
To begin with, your interview preparations Enhance your Data Structures concepts with the Python DS Course. And to begin with your Machine Learning Journey, join the Machine Learning – Basic Level Course