We're thrilled to invite you to apply for our Python Internship program! Inviting applicants who have already completed python training.

This internship is designed to provide you with hands-on experience in real-world projects, under the guidance of our experienced mentors. It's an excellent opportunity to apply your knowledge, learn from industry experts, and kickstart your career in Python development.

Internship duration- 5 months 

Skills

• Python
• Problem-Solving Skills
• OOPs
• Debugging
• data structures & algorithms

Requirements

• Job Role Python Internship
• Job Type Full Time
• Workplace Type Onsite
• Industry Information Technology & Services

Secondary locations

About

Not provided

Responsibilities

• Assisting in Software Development:

  • Work closely with the development team to assist in writing Python code for various projects, helping to build applications, tools, or solutions.
  • Collaborate on coding tasks, ensuring efficient and optimized code development under the guidance of senior developers.

• Bug Fixing & Debugging:

  • Identify and troubleshoot issues or bugs in Python-based applications.
  • Assist in the debugging and testing of the code to ensure functionality and reliability.

• Writing Unit Tests:

  • Develop unit tests to ensure the code functions correctly and meets project requirements.
  • Work with the team to improve test coverage and performance.

• Data Analysis & Visualization:

  • Assist in processing and analyzing datasets using Python libraries like Pandas, NumPy, and Matplotlib.
  • Create reports or visualizations to communicate insights derived from data analysis.

• Documentation:

  • Contribute to documenting code, processes, and software architecture to improve clarity for future developers and users.
  • Write clear comments and maintain coding standards to ensure code readability and maintainability.

• Research and Learning:

  • Stay updated with the latest developments in Python programming and its ecosystem (e.g., libraries and frameworks).
  • Conduct research to implement new solutions and optimize current codebase based on industry trends and emerging technologies.

• Collaboration & Communication:

  • Participate in daily stand-ups, code reviews, and team meetings to discuss progress and challenges.
  • Communicate effectively with other team members, seeking guidance and feedback when necessary.

Other Requirements

• Basic Python Programming:

  • Strong understanding of Python syntax and programming concepts, including loops, conditionals, data structures (lists, dictionaries, sets), and functions.
  • Familiarity with Python's built-in libraries and modules for standard tasks.

• Problem-Solving:

  • Ability to solve logical and technical problems using Python, break down tasks into manageable steps, and apply algorithms effectively.

• Object-Oriented Programming (OOP):

  • Knowledge of object-oriented programming concepts such as classes, objects, inheritance, and polymorphism.
  • Experience writing clean, modular, and reusable code using OOP principles.

• Familiarity with Libraries & Frameworks:

  • Basic experience with Python libraries like Pandas, NumPy, and Matplotlib for data analysis, manipulation, and visualization.
  • Exposure to web frameworks like Flask or Django is a plus, but not required.

• Version Control (Git):

  • Basic knowledge of Git for version control, including pushing, pulling, branching, and merging code in repositories.

• Data Structures & Algorithms:

  • Familiarity with common data structures (arrays, linked lists, stacks, queues) and basic algorithms (sorting, searching, etc.).
  • Ability to write efficient code with optimal time and space complexity.

• Debugging & Testing:

  • Ability to debug Python applications and use tools like pdb for troubleshooting.
  • Understanding the importance of writing unit tests and using testing frameworks such as unittest or pytest.

Good to have

Not provided

About the Company