Course Details

Course Overview

Our Python course is meticulously designed to cater to both beginners and seasoned programmers seeking to enhance their skills. Delving into the fundamentals of Python programming language, our comprehensive curriculum covers topics ranging from basic syntax and data types to advanced concepts like object-oriented programming and web development with Django. Led by industry-expert instructors with years of hands-on experience, our course ensures a dynamic learning environment where students engage in practical exercises, real-world projects, and collaborative learning sessions. Additionally, students benefit from a rich array of learning resources, including interactive tutorials, coding challenges, and supplementary materials. Whether you're aspiring to kickstart a career in software development, pursue data science endeavors, or simply broaden your programming proficiency, our Python course equips you with the knowledge and skills needed to succeed.

1. Introduction to Python:

   • Overview of Python programming language.
   • Installation and setup of Python environment.
   • Basic syntax, data types, and variables.

2. Control Flow and Loops:

   • Conditional statements (if, elif, else).
   • Loops (for, while) and iterators.
   • Flow control techniques.

3. Data Structures:

   • Lists, tuples, sets, and dictionaries.
   • Accessing and manipulating data in data structures.
   • List comprehensions and generator expressions.

4. Functions and Modules:

   • Defining functions, parameters, and return values.
   • Scope and namespaces.
   • Working with modules and packages.
   • Creating and importing custom modules.

5. Object-Oriented Programming (OOP) in Python:

   • Classes and objects.
   • Inheritance, encapsulation, and polymorphism.
   • Special methods (dunder methods).
   • Advanced OOP concepts.

6. File Handling:

   • Reading from and writing to files.
   • Working with different file formats (text files, CSV, JSON, etc.).
   • Exception handling (try, except, finally).

7. Regular Expressions:

   • Pattern matching with regular expressions.
   •Using regex in Python for searching and manipulating strings.

8. Database Access with Python:

   • Introduction to database systems (SQL and NoSQL).
   • Connecting to databases using Python.
   • Performing CRUD (Create, Read, Update, Delete) operations.
   • Working with popular database libraries like SQLite3, MySQL, or MongoDB.

9. Concurrency and Parallelism:

   • Multi-threading and multi-processing in Python.
   • Asynchronous programming with async/await.
   • Deployment and Containerization:

10. Version Control with Git:

   • Basics of version control.
   • Setting up Git repositories.
   • Branching, merging, and resolving conflicts.
   • Collaborative development workflows.

11. Best Practices and Code Quality:

   • Writing clean, maintainable, and efficient code.
   • Code documentation and commenting.
   • Code review processes.
   • Continuous Integration/Continuous Deployment (CI/CD):
   • Automating testing and deployment processes.

12. Project Work:

   • Capstone project or series of projects to apply the learned concepts.
   • Collaborative development in a team environment.
   • Portfolio development.