Python Programming Intern - Internship (Part Time)

About the internship:Strengthen Python programming fundamentals through practical coding tasks, problem-solving exercises, and project-based activities.

Selected intern's day-to-day responsibilities include:

1. Write Python programs.

2. Solve programming problems.

3. Apply Python data structures.

4. Debug code.

5. Complete practical assignments.

6. Participate in project work.Who can apply:Only those candidates can apply who:are available for the part time job/internshipcan start the part time job/internship between 10th Oct'26 and 14th Nov'26are available for duration of 3 monthshave relevant skills and interestsare Computer Science Engineering studentsStipend:INR₹ 3,000 - 7,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hoursSkills required:Python, Data Structures, Logical reasoning and Object Oriented Programming (OOP)About Company:Gradtwin is a student-focused organization committed to helping students and fresh graduates build practical skills, gain real-world experience, and explore career opportunities.

We offer internship opportunities across diverse domains, including technology, data, healthcare, marketing, human resources, and business, enabling students to work on real-world projects and develop industry-relevant skills.

At Gradtwin, interns get the opportunity to learn through hands-on experience, collaborate with teams, take on meaningful responsibilities, and strengthen their resumes and professional portfolios. We welcome students, fresh graduates, and aspiring professionals who are eager to learn, contribute, and grow.

Join Gradtwin to learn, gain experience, build your skills, and take your first step toward a successful career.

Responsibilities

Strengthen Python programming fundamentals through practical coding tasks, problem-solving exercises, and project-based activities.

Selected intern's day-to-day responsibilities include:

1. Write Python programs.

2. Solve programming problems.

3. Apply Python data structures.

4. Debug code.

5. Complete practical assignments.

6. Participate in project work.