What Will You Learn?
- Python programming fundamentals and syntax.
- Variables, data types, operators, and expressions.
- Conditional statements, loops, and functions.
- Lists, tuples, dictionaries, sets, and strings.
- Object-oriented programming using Python.
- File handling, exception handling, and modules.
- Database connectivity and SQL fundamentals.
- Working with Python libraries and packages.
- Introduction to web development using Django or Flask, depending on the selected training track.
- Practical coding exercises and project development.
- Debugging, testing, and writing maintainable code.
- Git and version control fundamentals.
By the end of the internship, you can develop a stronger understanding of Python programming and apply your knowledge to practical programming tasks and projects.
Python Internship Training Curriculum
Our Python Internship curriculum introduces programming concepts step by step, progressing from basic syntax to practical application development. The exact curriculum may vary according to your current skill level and the selected training track.
1. Introduction to Python Programming
- Introduction to Python and its applications.
- Understanding Python features and advantages.
- Installing and configuring Python.
- Setting up a development environment.
- Writing and executing your first Python program.
- Understanding Python syntax, indentation, and comments.
- Working with input and output functions.
- Understanding errors and basic debugging techniques.
2. Python Variables, Data Types, and Operators
- Variables and naming conventions.
- Numeric, string, and Boolean data types.
- Type conversion and type checking.
- Arithmetic, comparison, logical, and assignment operators.
- Operator precedence and expressions.
- Working with strings and string methods.
- Formatting strings and displaying output.
- Writing simple programs using variables and operators.
3. Conditional Statements and Loops
- Understanding decision-making in Python.
- Using if, elif, and else statements.
- Nested conditional statements.
- Working with for and while loops.
- Using break, continue, and pass.
- Understanding the range() function.
- Nested loops and iteration techniques.
- Developing programs using conditions and loops
4. Python Data Structures
- Introduction to Python's built-in data structures.
- Creating and manipulating lists.
- Working with tuples and sets.
- Creating and accessing dictionaries.
- Indexing and slicing sequences.
- Adding, updating, and removing elements.
- Iterating through collections.
- List comprehensions and common data manipulation techniques.
- Choosing suitable data structures for different tasks.
5. Functions and Modular Programming
- Defining and calling functions.
- Function parameters and return values.
- Positional and keyword arguments.
- Default arguments and variable-length arguments.
- Local and global scope.
- Lambda functions and introductory functional programming concepts.
- Importing modules and using built-in libraries.
- Creating reusable functions and custom modules.
- Organizing Python code into manageable components.
6. Object-Oriented Programming in Python
- Introduction to object-oriented programming.
- Understanding classes and objects.
- Constructors and the __init__() method.
- Instance and class attributes.
- Instance methods and class methods.
- Encapsulation and inheritance.
- Polymorphism and method overriding.
- Understanding abstraction concepts.
- Creating classes to represent real-world entities.
- Writing reusable and maintainable object-oriented code.
7. File Handling and Exception Handling
- Reading from and writing to files.
- Working with text and common file formats.
- Understanding file access modes.
- Using context managers with the with statement.
- Handling runtime errors with try and except.
- Using finally and else in exception handling.
- Raising exceptions and creating custom exceptions.
- Validating input and handling unexpected conditions.
- Developing reliable programs with proper error handling.
8. Python Libraries and Packages
- Understanding Python modules and packages.
- Installing and managing packages with pip.
- Using the Python standard library.
- Working with date and time functions.
- Understanding JSON data and serialization.
- Reading and writing structured data.
- Introduction to virtual environments.
- Organizing dependencies for Python projects.
- Exploring additional libraries according to the selected specialization.
9. Database Connectivity Using Python
- Introduction to databases and relational database concepts.
- Understanding tables, records, and relationships.
- Introduction to SQL queries.
- Connecting Python applications to a database.
- Inserting, retrieving, updating, and deleting records.
- Executing parameterized queries.
- Handling database connections and errors.
- Understanding transactions and data consistency.
- Building a basic database-driven Python application.
10. Web Development Using Python
- Introduction to server-side web development.
- Understanding requests, responses, and HTTP fundamentals.
- Introduction to Django or Flask, depending on the selected track.
- Understanding routes, views, and request handling.
- Working with templates and dynamic web pages.
- Processing forms and user input.
- Connecting web applications to databases.
- Understanding authentication and application security fundamentals.
- Building basic web application features.
- Exploring APIs and application integration where included in the curriculum.
11. Python Development Tools and Best Practices
- Introduction to Git and version control.
- Managing source code and tracking changes.
- Debugging programs and identifying logical errors.
- Writing readable and maintainable code.
- Following naming conventions and code organization practices.
- Understanding basic testing concepts.
- Using development tools effectively.
- Working with project requirements and documentation.
- Managing application configuration and dependencies.
12. Practical Python Project Development
- Understanding project requirements and objectives. Planning program logic and application structure. Designing functions, classes, and data models. Implementing core application features. Integrating files or databases where required. Testing program functionality. Identifying and resolving errors. Improving code readability and maintainability. Preparing project documentation and presenting the completed work.
- Understanding project requirements and objectives.
- Planning program logic and application structure.
- Designing functions, classes, and data models.
- Implementing core application features.
- Integrating files or databases where required.
- Testing program functionality.
- Identifying and resolving errors.
- Improving code readability and maintainability.
- Preparing project documentation and presenting the completed work
The curriculum can be adapted according to your existing knowledge, learning progress, specialization, and the Python internship program offered by Akash Technolabs.