cd c:/Users/<your_administrator_id>/
mkdir PycharmProjects
cd PycharmProjects
git --version
If Git is not installed, download and install it from https://git-scm.com/downloads
git clone https://github.com/alagappainfotech/urcw_job_ready_course.git
cd urcw_job_ready_course
git checkout main
git pull origin main
python --version
If Python is not installed, download and install it from https://www.python.org/downloads/
pip --version
If pip is not installed, you can install it by following the instructions at https://pip.pypa.io/en/stable/installation/
pip3 --version python3 --version
python -m venv venv
source venv/Scripts/activate
You should see the virtual environment name in your terminal prompt, like (venv) C:\Users<your_administrator_id>\PycharmProjects\urcw_job_ready_course>
pip install -r requirements.txt
Welcome to the URCW Job Ready Course repository! This course is designed to help you master Python programming and related job-ready skills. Please follow the instructions below to set up your environment, contribute your work, and learn effectively.
- Getting Started
- Repository Structure
- Course Curriculum
- How to Submit Your Work
- Adding New Lessons
- Python Concepts Covered
- Contributing Guidelines
- Contact
-
Clone the Repository
git clone https://github.com/alagappainfotech/urcw_job_ready_course.git cd urcw_job_ready_course -
Set Up Python Virtual Environment
python -m venv venv source venv/bin/activate # On macOS/Linux # or source venv/Scripts/activate # On Windows
-
Install Dependencies
pip install -r requirements.txt
urcw_job_ready_course/
├── basics/ # Core Python lessons
│ ├── 1/ # Primitive data types and operators
│ ├── 2/ # Variables and collections
│ ├── 3/ # Control flow and iterables
│ ├── 4/ # Functions
│ ├── 5/ # Modules
│ ├── 6/ # Classes and OOP
│ ├── 7/ # Advanced topics
│ ├── 8/ # String manipulation and formatting
│ ├── 9/ # File handling and I/O
│ └── 10/ # Regular expressions
├── django/ # Django web framework lessons
│ ├── 1_Introduction_to_Django.py
│ └── 2_Django_Models_and_Database.py
├── flask/ # Flask web framework lessons
│ └── 1_Introduction_to_Flask.py
├── exercises/ # Practice exercises
│ ├── exercise_01.py # Basic exercises
│ ├── exercise_02.py
│ ├── exercise_03.py
│ ├── exercise_04.py
│ ├── exercise_05.py
│ ├── exercise_08_string_manipulation.py
│ ├── exercise_09_file_handling.py
│ ├── exercise_10_regex.py
│ ├── exercise_django_01.py
│ └── exercise_flask_01.py
├── python_outputs/ # Student submissions
├── main.py # Main application
├── requirements.txt # Python dependencies
└── README.md # This file
Lesson 1: Primitive Data Types and Operators
- Numbers, strings, booleans
- Mathematical operators
- Comparison operators
- Logical operators
Lesson 2: Variables and Collections
- Lists, tuples, dictionaries, sets
- Collection operations and methods
- List comprehensions
Lesson 3: Control Flow and Iterables
- Conditional statements (if/elif/else)
- Loops (for, while)
- Exception handling
- File I/O operations
Lesson 4: Functions
- Function definition and calling
- Arguments and parameters
- Lambda functions
- Decorators and closures
Lesson 5: Modules
- Import statements
- Creating modules
- Package management
Lesson 6: Classes and Object-Oriented Programming
- Class definition and instantiation
- Inheritance and polymorphism
- Encapsulation
- Special methods
Lesson 7: Advanced Topics
- Generators and iterators
- Context managers
- Decorators
- Metaclasses
Lesson 8: String Manipulation and Formatting
- String methods and operations
- String formatting (f-strings, .format())
- Regular expressions basics
- Text processing
Lesson 9: File Handling and I/O Operations
- File reading and writing
- CSV and JSON processing
- Binary file operations
- Error handling in file operations
Lesson 10: Regular Expressions
- Pattern matching
- String validation
- Text extraction and replacement
- Advanced regex features
Django Lesson 1: Introduction
- Django philosophy and features
- Project setup and structure
- Basic views and URL routing
- Templates and Jinja2
- Forms and validation
- Admin interface
Django Lesson 2: Models and Database
- Django ORM
- Model relationships
- Database migrations
- Query operations
- Model methods and properties
Flask Lesson 1: Introduction
- Flask philosophy and features
- Application setup
- Routes and views
- Templates and Jinja2
- Forms and request handling
- API development
- ✅ Variables and Data Types
- ✅ Input/Output Operations
- ✅ Operators and Expressions
- ✅ Conditional Statements
- ✅ Loops and Iteration
- ✅ Functions and Scope
- ✅ Lists, Tuples, Sets, Dictionaries
- ✅ String Manipulation
- ✅ Exception Handling
- ✅ File I/O Operations
- ✅ Modules and Packages
- ✅ List Comprehensions
- ✅ Lambda Functions
- ✅ Classes and Objects
- ✅ Inheritance and Polymorphism
- ✅ Generators and Iterators
- ✅ Decorators
- ✅ Regular Expressions
- ✅ Context Managers
- ✅ Django Framework
- ✅ Flask Framework
- ✅ Database Operations
- ✅ API Development
- ✅ User Authentication
- ✅ Form Handling
- ✅ Template Systems
-
Create Your Directory under python_outputs folder
Format:yourname_class_year_python
Example:john_csc_1_python -
Add Your Files
Place your solutions, scripts, and outputs in your directory. -
Commit and Push
git add yourname_class_year_python/ git commit -m "Add solutions for lesson X" git push origin main
To help students learn missing Python concepts, add new lessons in the appropriate folder. Each lesson should:
- Be a separate
.pyfile with detailed comments - Include example code and exercises
- Follow the established naming convention
- Include practical examples and use cases
Example Lesson Structure:
####################################################
## Lesson Title
####################################################
# Introduction and overview
# Detailed explanations with examples
# Practical applications
# Exercises for studentsEach lesson includes comprehensive exercises:
- Basic Exercises: Fundamental concept practice
- Intermediate Exercises: Real-world applications
- Advanced Exercises: Complex problem-solving
- Project-Based Exercises: Complete application development
- String manipulation and text processing
- File handling and data processing
- Regular expressions and pattern matching
- Web development with Django and Flask
- API development and testing
- Database operations and ORM usage
- Always pull the latest changes before pushing
- Write clear, commented code
- Submit your work in your individual directory
- For new lessons, follow the commenting style shown above
- Test your code before submitting
- Include proper error handling
- Follow PEP 8 coding standards
For questions or support, please open an issue or contact the course instructor.
-
Udacity - Version Control with Git
- Link: https://www.udacity.com/course/version-control-with-git--ud123
- Topics: Version control fundamentals, Git commands, branching and merging
- Cost: Free
-
MIT OpenCourseWare - 6.0001 Introduction to Computer Science and Programming in Python
- Link: https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/
- Topics: Core computer science concepts using Python
- Cost: Free
- Complete all core Python lessons (1-10)
- Practice with exercises for each lesson
- Build small projects using learned concepts
- Learn Django for full-stack web development
- Learn Flask for lightweight web applications
- Practice with real-world projects
- Contribute to open-source projects
-
Code Organization
- Use meaningful variable and function names
- Write clear comments and documentation
- Follow PEP 8 style guidelines
- Use proper indentation and spacing
-
Error Handling
- Always handle potential exceptions
- Provide meaningful error messages
- Use try-except blocks appropriately
- Validate user input
-
Testing
- Write tests for your functions
- Test edge cases and error conditions
- Use unit testing frameworks
- Practice test-driven development
-
Version Control
- Commit frequently with meaningful messages
- Use descriptive branch names
- Review code before merging
- Keep commits atomic and focused
-
Documentation
- Write clear docstrings for functions
- Document complex algorithms
- Include usage examples
- Keep README files updated