Python Bootcamp

Overview :

The Python Bootcamp is an intensive course designed to teach you Python programming from the ground up. It covers essential Python concepts, hands-on coding practices, and practical applications to build your proficiency in using Python for various tasks, including web development, data analysis, and automation.

Key Takeaways :

• Python Basics: Understand Python syntax, data types, and control structures.
• Advanced Python Concepts: Learn about object-oriented programming, decorators, and generators.
• Data Handling: Work with files, databases, and data structures.
• Libraries and Frameworks: Utilize popular Python libraries such as NumPy, pandas, and Flask.
• Project Development: Apply Python skills to real-world projects and challenges.
• Problem Solving: Develop and enhance problem-solving and debugging skills.

Course Content :

1. Introduction to Python

   • Overview of Python and its applications
   • Setting up the Python environment
   • Basic syntax and programming concepts

2. Data Types and Variables

   • Working with different data types (strings, integers, lists, dictionaries)
   • Variable assignments and type conversions
   • Collections and data manipulation

3. Control Flow

   • Conditional statements (if, elif, else)
   • Looping constructs (for, while)
   • Comprehensions (list, dictionary)

4. Functions and Modules

   • Defining and calling functions
   • Function arguments, return values, and lambda functions
   • Importing and using modules and packages

5. Object-Oriented Programming (OOP)

   • Understanding classes and objects
   • Inheritance, polymorphism, and encapsulation
   • Using decorators and context managers

6. Data Handling and Manipulation

   • Reading and writing files (text, CSV, JSON)
   • Working with databases using SQLite or SQLAlchemy
   • Data manipulation with pandas and NumPy

7. Web Development

   • Introduction to web frameworks (Flask or Django)
   • Creating and handling web requests and responses
   • Building and deploying simple web applications

8. Testing and Debugging

   • Writing and running tests using unittest or pytest
   • Debugging techniques and tools
   • Error handling and exception management

9. Project Development

   • Developing real-world projects, such as a web application or data analysis tool
   • Applying best practices in coding and project management
   • Presenting and documenting projects

Course Deliverables :

• Python Coding Exercises: Practice problems and exercises to build Python skills.
• Data Handling Projects: Projects involving file manipulation, database interactions, and data analysis.
• Web Development Projects: Build and deploy simple web applications using Python frameworks.
• Testing and Debugging Exercises: Implement tests and debug code for robustness.
• Real-World Projects: Develop and showcase projects that apply Python skills to practical scenarios.
• Certificate of Completion: Proof of proficiency in Python programming.