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Python Programming Internship – 10 Days, 15 Days, 30 Days or More Practical Training

Python Programming Internship

Python is a versatile, high-level programming language widely used in web development, data science, artificial intelligence, automation, and application development. Known for its simplicity and readability, Python enables developers to create efficient, scalable, and maintainable solutions. Its vast library ecosystem and community support make it one of the most in-demand skills in the tech industry today.

Who Can Join

  • Engineering & Technology Students
    • B.TECH & M.TECH students (all relevant branches)
    • Specializations: CSE, IT, ITM, ITC, AI, ML, DS
  • Graduates & Final-Year Students
    • Computer Science & IT graduates or final-year students
    • MCA, BCA, CA (Application), B.Sc., M.Sc. in CSE/IT
  • Others
    Beginners and professionals seeking strong programming foundations.

How Python Programming Works at Prasartech

At Prasartech Projects and Solution, Python is taught as both a core programming language and as a foundation for advanced domains like AI, Machine Learning, Data Science, and IoT. Our internship is designed to give students hands-on experience by building real-time projects, from scripting automation to developing full-scale applications.

Industry-Relevant Skills

Interns will gain expertise in:

    • Python syntax, data types, and control structures.
    • Functions, modules, and file handling.
    • Object-Oriented Programming (OOP) in Python.
    • Working with libraries such as NumPy, Pandas, and Matplotlib.
    • Basics of Django/Flask for web development.

Hands-On Project Work

    • Data analysis and visualization projects.
    • Web application development using Python frameworks.
    • Automation scripts for repetitive tasks.
    • Integration of Python with databases and APIs.

Expert Mentorship

The program includes mentorship from experienced Python developers who guide students through coding best practices, debugging, performance optimization, and project deployment. Students also benefit from collaborative coding sessions, peer reviews, and structured project demonstrations.

Outcome

    • Strong command over Python programming concepts and tools.
    • Ability to develop, test, and deploy Python-based applications for real-world scenarios.

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