About the program

The Python Programming Internship offers handson experience in software development using Python. Interns will work on realworld projects involving scripting, data processing, web development, or automation. The internship focuses on improving coding skills, understanding programming logic, and applying Python libraries to solve technical challenges. Key Responsibilities: Develop, test, and debug Python applications Work with libraries such as NumPy, Pandas, Matplotlib, Flask, or Django Assist in data analysis, web development, or automation tasks Collaborate with mentors and team members to deliver project milestones Document code, maintain repositories, and follow best coding practices Skills Gained: Proficiency in Python programming Problemsolving and logical thinking Experience with realworld project workflows Understanding of version control GitGitHub Exposure to web frameworks and datahandling tools

Perks

Hands-on Experience: Work on real projects that build your programming and problem-solving skills. Mentorship: Learn from experienced developers who guide you through best practices and workflows. Skill Development: Gain exposure to Python libraries, frameworks (Flask, Django), and tools (Git, APIs). Flexible Learning: Opportunity to experiment with different areas — web development, data analysis, automation, or ML. Portfolio Building: Complete projects that you can showcase on GitHub or in your resume. Networking Opportunities: Connect with industry professionals and fellow interns. Stipend/Certificate: Receive a certificate of internship completion; some internships may offer a stipend. Career Growth: Potential for pre-placement offers or recommendations based on performance.

Who can apply?

Only those candidates can apply who:

1. are from Any
2. and specialisation from Any
3. are available for duration of 6 Weeks
4. have relevant skills and interests

Terms of Engagement

.Hands-on Experience: Work on real projects that build your programming and problem-solving skills. Mentorship: Learn from experienced developers who guide you through best practices and workflows. Skill Development: Gain exposure to Python libraries, frameworks (Flask, Django), and tools (Git, APIs). Flexible Learning: Opportunity to experiment with different areas — web development, data analysis, automation, or ML. Portfolio Building: Complete projects that you can showcase on GitHub or in your resume. Networking Opportunities: Connect with industry professionals and fellow interns. Stipend/Certificate: Receive a certificate of internship completion; some internships may offer a stipend. Career Growth: Potential for pre-placement offers or recommendations based on performance.

Number of openings

10