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As we all know, Python is the most popular and in demand programming language nowadays. This means there is a lot of competition for Python jobs not only in foreign countries but in India as well.
To stand out, it’s important to have strong skills in Python and gain experience through hands-on projects. As a fresher, it’s hard to get Python full-time jobs, so many freshers initially go for a Python internship so they can work on industry based projects.
They can learn a lot of things like – How to be professional in the corporate world, how to interact with clients, how to manage time, & how to complete projects per client deadline.
So in this blog, we will explain why a Python internship is beneficial after learning Python, how freshers can apply for internship opportunities, and much more.
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Why Do a Python Internship?
Practical Experience –
The main reason freshers should go for an internship is “Practical Experience”. Because only theoretical knowledge is not enough to get a job in companies. Interviewers mainly focus on practical experience, like what projects you have done before and what your roles and responsibilities are.
This helps interviewers find out the skills and practical knowledge you have. Talking about your internship projects shows interviewers how you apply what you’ve learned, solve problems, and work in a team. This makes you a stronger candidate for full-time jobs.
Also, based on your skill set, interviewers can offer you a handsome salary. So, practical experience is very important for a fresher.
Professional Development –
If you work in a corporate environment, you should know about professionalism.
This includes –
- Effective communication
- Meeting deadlines
- Collaborating with colleagues
- Collaboration with client
- Understanding workplace etiquette
Internships help you develop professional skills like how to work in a team, manage your time effectively, meet project deadlines, and communicate with clients and colleagues.
Professional Connections –
Building a network of professional contacts is important for your career. Internships provide opportunities to meet and learn from experienced professionals; they guide you and help you navigate your career path.
These connections are helps you with –
- Mentorship
- Job recommendations
- Future opportunities
Job Offers from top Companies
After completing the internship, you may receive an offer for a full-time job at the same company if you have performed well. Additionally, your experience working on projects will give you first preference if you are considering switching to another company as a fresher.
Also Read – Understanding the Identity Operator in Python
How to Find Python Internship Opportunities
Online Job Portals –
There are many job portals available on Google that list internship opportunities in various fields, including Python programming.
Websites like –
- Indeed
- Glassdoor
- Internshala
- Naukri
Use keywords like “Python internship” and search companies as per your preferred location, job title, and other criteria. By updating your profiles regularly on these job portals, you will get calls from companies, and you can easily schedule your interviews.
Company Websites –
There are many companies’ websites where they advertise opportunities directly on their websites. So you have to research those companies that are looking for Python interns, go to their careers page, fill out the form with basic information about yourself, like your email address, and upload your resume.
Colleges Placement Services –
There are some universities that give placements to their students. They often have partnerships with companies looking for interns and can provide personalized assistance in your job search.
Social Media
As we know, everyone is active on social media platforms. So many companies posted their hiring announcements on social media platforms like Instagram, LinkedIn, and Twitter.
So to take advantage of this opportunity, follow companies on social media platforms, interact with their hiring posts, share your CV, and connect with their HR staff.
Also Read – Difference between list and dictionary in Python?
How do I prepare an application for a Python internship?
1) Building a Strong Resume
Your resume is your first impression in the job application process. So you have to make sure your resume is in presentable form.
Introduce Yourself –
Briefly introduce yourself, where you are located, your educational background, and why you’re interested in the internship.
Highlight your Technical Skills –
First, you have to highlight your skills, like –
- Knowledge of Python programming
- Experience with web frameworks like Django or Flask
- Knowledge of front-end technologies like HTML, CSS, and JavaScript
- Knowledge of databases such as SQL
- Understanding version control systems like Git
- Ability to write clean, efficient, and well-documented code
Highlight Projects –
- Highlight projects, like what projects you had done before using Python and what your roles and responsibilities were.
- Which Python libraries did you use in the project?
- This helps employers see your practical experience and problem-solving skills.
Tip: You have to make sure you know all the skills, technologies, and projects that you mentioned on your CV well. There are 98% chances interviewers will ask questions based on what you have mentioned, so being prepared can greatly improve your performance.
2) Building a Portfolio –
Building a portfolio for your Python projects is very important, as you mention your work and the projects you have done.
Using various sites, you build a portfolio like this –
- GitHub
- Personal Website
- Medium
- Dev.to
Also Read – Linear Search in Python
How do I prepare for an interview for a Python internship?
1) Research the Company
- Research the company where your interview is scheduled. Learn about their products, services, mission, and values.
- Research what technologies they mainly used, especially those related to Python programming.
- Read and understand the JD (job description) of the company, and prepare yourself accordingly.
2) Strong in Basic Programming Concepts
Many people make the small mistake of ignoring basic programming concepts while preparing for interviews, which is not the right approach because these fundamentals are the basis of technical questions.
Interviewers frequently test your understanding of basic concepts to ensure you have a strong foundation in the basics, which is important for tackling more advanced problems and tasks.
Being strong in the basics shows that you can build and understand more advanced concepts easily.
As Gordon B. Hinckley says,
“You can’t build a great building on a weak foundation. You must have a solid foundation if you’re going to have a strong superstructure.”
Basic Python programming concepts are –
- Variables
- Data Types
- Operators
- Conditional Statements
- Loops
- Functions
- Libraries
- Classes and objects
- OOP concepts
3) Hands-on Projects
During the interview, explain the projects you have done before like –
- What technologies you used in projects
- How many times you took to complete these projects
- The difficulties you faced and how you solved them
So please mention all those points to the interviewer while explaining the projects. Also, some people do not do projects on their own. Please don’t make this mistake and try to do projects on your own.
This shows you’ve done your research and you are Proactiv who is interested in learning new things and applying new skills.
Also Read : Calculator Program In Python
FAQ’s
Is Python good for internships?
Yes, Python Programming is great for internships because it is most popular and widely used, providing hands-on experience.
What is the salary of a Python intern?
As per Ambition Box Reports, Python intern salary in India ranges between ₹ 0.6 LPA to ₹ 6.0 LPA.
Note: Salary depends on skills, location, company and experience.
What is the role of a Python intern?
A Python intern helps in developing and testing software, writing scripts, debugging code, and working on data analysis or web development projects.
Is Python in demand in 2024?
Yes, Python Programming is in demand in 2024 and will continue to do so in future. The main strength of Python Programming is versatility.