If we use the word “phyton” and the first thing that comes to your mind isn’t a snake – you’re most probably on the right page!
Python needs no thorough introduction since, in the last five years, its popularity has significantly risen, to the point where it is consistently ranking 1st among various programming languages.
Why is that so? Python’s popularity among programmers of all skill levels is due in large part to the language’s intuitiveness and ease of implementation. Python’s greatest allure lies in its ease and speed of learning, making it an ideal language for anyone looking to acquire programming skills. Compared to other languages used in data science, Python is particularly accessible, enabling aspiring data scientists to quickly gain proficiency by taking a Data Science with Python Course. This can increase their chances of being hired by companies seeking skilled data scientists.
Some of the language’s notable characteristics include extensive library support, easy integration with other languages, and large community support.
But the real question is – how easy it is to get a job as a Python fresher?
When you become a proficient Phyton programmer, you should have no worries about landing your first job in weeks or even days. The language has spread through different IT sectors, so you can choose between working for the top machine learning companies, data science centers, or even developing artificial intelligence solutions.
So, where’s the catch, you may ask? Learning to code properly isn’t something that is done only by watching YouTube tutorials and scramming the basics inside your mind in two weeks.
Okay, there may have been people you’ve heard of that got the job like that, but trust us, that method doesn’t pay off in the long run. Instead of doing the Sisyphean task, let’s go through some essential steps that will help you land a perfect spot in the market.
Make Connections on LinkedIn
This tip may be an obvious one, but you wouldn’t believe how many people still don’t recognize the importance of having a good LinkedIn profile.
Many people got their first jobs just by creating a quality base of connections there. The platform gives you an amazing chance to communicate with different sectors of companies, especially with HR teams and recruiters.
But first of all, what you need is a strong profile. Here’s how to create it:
- Upload a clear close-shot image for your profile picture.
- Refresh your educational experience and any relevant working experience you may have in the past.
- Add any relevant certifications to your profile.
- Take LinkedIn Assessment Tests and earn Skill Assessment badges which can be added to your profile.
- Consult with superiors and mentors for referrals.
With these elements combined, you can create a strong network of contacts.
Acquire Strong Python Fundamentals
On a job interview, the very first thing that is expected from you is having your fundamentals ready.
Before even heading to one, you should get really familiar with Python syntax, statements control structures, functions & modules, variables & operators, exception handling, and OOP concepts. Without being familiar with these, you may end up in awkward silence.
Study the Frameworks
Python is well-known for its extensive library and framework offerings. Additionally, if you want to get a job as a Python newbie, you’ll need to brush up on your skills using its web frameworks.
You can choose between Full-Stack Framework, Microframework, and the latest one, Asynchronous Framework.
As a newcomer, you should first consider learning Django, Web2Py, or Flask.
Django is a good place to start if you’re new to Python since it’s widely accepted as the industry-standard framework.
For beginners, it’s important to have a good amount of expertise with any of the frameworks in order to have a leg up on the competition.
As in any expertise that requires practical skills, theoretical knowledge will not take you up to the top. It’s essential to put your newfound knowledge and skills into practice in order to get real-world experience.
Consider starting with simple projects such as a website blocker, a Tetris or a Hangman game, or even a GUI application.
As you work on projects, you’ll get more acquainted with the Python language and its supporting tools and applications, such as IDEs and libraries.
Build a Strong Portfolio
In every hiring process, your resume and portfolio play a significant influence. You may use it to keep track of your prior real-world initiatives. Having a portfolio demonstrates to your future employer that you have the necessary skills to succeed in their company.
Also, you may post your projects online or contribute to open-source Python projects on sites like GitHub, which can help you demonstrate your skills to potential employers.
Go Through an Internship
Yes, in a world full of unpaid internships, it is hard to take this approach. But you may not know that your chances of landing the first job may increase this way.
Internships provide a number of advantages, including demonstrating to potential employers that you have a genuine interest in the workplace, gaining valuable experience via real-world projects, and growing your network.
Increase your chances of employment by networking with other professionals in the same field as your goal. You will get to know other professionals, gain some great knowledge, and who knows – maybe some of them are acquainted with recruiters who would like to meet you.
Become an Active Member of the Community
The active community is what makes this language so enjoyable. Don’t be afraid of becoming active in community activities as a freshman.
A hackathon, a conference, or a webinar might all be on the agenda. Make an impact. It’s a great way to connect with other Pythonistas who may be able to help you. It expands your social circle as well.
In addition, you might participate in a web-based community. Stack Overflow, Twitter, Facebook groups, etc., are all good places to become involved in the Python community. In the event that you are able to do so, upload educational articles or lessons online.
Another great way to contribute is by maintaining open-source tools. Even if you don’t get paid, think of it as an opportunity to give back to the community that helped you grow in the first place.
If you’re not an expert, seek open-source project flaws you can address and fix them. Your Git contribution may surprise you in how quickly it is accepted by the project’s maintainers!
This is something that many recruiters search for in their prospects, but only a few are able to uncover.
Impressing your hiring manager and standing out from the crowd is simple when you contribute to open source projects.
Never Stop Learning
As a Python programmer, you must accept that the approaches and tools are always evolving, which might be challenging. There will always be new ideas and approaches to problems. As a result, if you want to remain relevant, you need to commit to lifelong learning.
There can be several ways to approach any kind of problem or task you take upon. And that’s the magic of code – it is never boring, and you always end up learning something new.
In order to stay in form, keep your eyes on the newest updates and features, and get exploring.
The Bottom Line
Well, this seems not that hard to do, does it?
It doesn’t matter if you are a beginner or a seasoned professional; as long as you have some solid Python abilities and a strong will for self-improvement, you will eventually obtain a job.
In case you’re a newbie, though, following the tips in this post can help you get hired faster and easier as a Python professional.
Sophie Douglas is a digital marketing specialist and a journalist based in Columbus, state of Ohio.
Her characters are passionate, innovative, and ambitious.
Before becoming a writer for DigitalStrategyOne, she was writing short stories, screenplays, and directing short films.