Python courses
8hours
About Python
Python is a general-purpose, versatile, and powerful programming language. It’s a great first language because Python code is concise and easy to read. Whatever you want to do, python can do it. From web development to machine learning to data science, Python is the language for you.
Module 1: Introduction to Python
• What is Python?
• Features & applications of Python
• Python versions (2 vs 3)
• Installing Python (Windows / Linux / macOS)
• Python IDEs (IDLE, VS Code, PyCharm)
• Running first Python program
• Features & applications of Python
• Python versions (2 vs 3)
• Installing Python (Windows / Linux / macOS)
• Python IDEs (IDLE, VS Code, PyCharm)
• Running first Python program
Module 2: Python Basics
• Python syntax & indentation
• Variables & data types
• Keywords & identifiers
• Type casting
• Input & output functions
• Comments & code structure
• Variables & data types
• Keywords & identifiers
• Type casting
• Input & output functions
• Comments & code structure
Module 3: Operators & Expressions
• Arithmetic operators
• Relational operators
• Logical operators
• Assignment operators
• Bitwise operators
• Operator precedence
• Relational operators
• Logical operators
• Assignment operators
• Bitwise operators
• Operator precedence
Module 4: Control Flow
• Conditional statements
o if, if-else, elif
• Looping statements
o for loop
o while loop
• break, continue, pass
• Nested loops
• Practical examples
o if, if-else, elif
• Looping statements
o for loop
o while loop
• break, continue, pass
• Nested loops
• Practical examples
Module 5: Data Structures
• Strings
o String methods
o String slicing
• Lists
o List operations & methods
• Tuples
• Sets
• Dictionaries
• Mutable vs Immutable types
o String methods
o String slicing
• Lists
o List operations & methods
• Tuples
• Sets
• Dictionaries
• Mutable vs Immutable types
Module 6: Functions & Modules
• Defining functions
• Function arguments
o Positional
o Keyword
o Default
o Variable length (*args, **kwargs)
• Return statements
• Lambda functions
• Built-in modules
• Creating & importing custom modules
• Function arguments
o Positional
o Keyword
o Default
o Variable length (*args, **kwargs)
• Return statements
• Lambda functions
• Built-in modules
• Creating & importing custom modules
Module 7: Object-Oriented Programming (OOP)
• Classes & objects
• init method
• Instance vs class variables
• Methods
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction
• init method
• Instance vs class variables
• Methods
• Inheritance
• Polymorphism
• Encapsulation
• Abstraction
Module 8: Exception Handling
• Types of errors
• try, except, else, finally
• Multiple exceptions
• Custom exceptions
• Best practices
• try, except, else, finally
• Multiple exceptions
• Custom exceptions
• Best practices
Module 9: File Handling
• File modes
• Reading & writing files
• Working with CSV files
• JSON handling
• File handling with context manager (with)
• Reading & writing files
• Working with CSV files
• JSON handling
• File handling with context manager (with)
Module 10: Python Standard Libraries
• datetime
• math
• random
• os & sys
• shutil
• logging
• argparse
• math
• random
• os & sys
• shutil
• logging
• argparse
Module 11: Regular Expressions
• Introduction to regex
• Pattern matching
• search, match, findall
• Common regex patterns
• Practical use cases
• Pattern matching
• search, match, findall
• Common regex patterns
• Practical use cases
Module 12: Working with Databases
• Database concepts
• SQLite with Python
• MySQL/PostgreSQL connection
• CRUD operations
• Parameterized queries
• Error handling in DB operations
• SQLite with Python
• MySQL/PostgreSQL connection
• CRUD operations
• Parameterized queries
• Error handling in DB operations
Module 13: Python for Automation
• Automating file operations
• Web scraping basics
• Sending emails
• Scheduling tasks
• Working with APIs
• Requests & BeautifulSoup basics
• Web scraping basics
• Sending emails
• Scheduling tasks
• Working with APIs
• Requests & BeautifulSoup basics
Module 14: Python for Web Development (Overview)
• Introduction to web frameworks
• Flask basics
• Django overview
• REST API basics
• JSON & HTTP methods
• Flask basics
• Django overview
• REST API basics
• JSON & HTTP methods
Module 15: Python for Data Handling (Overview)
• Introduction to NumPy
• Pandas basics
• Data analysis examples
• Data visualization (Matplotlib basics)
• Pandas basics
• Data analysis examples
• Data visualization (Matplotlib basics)
Module 16: Advanced Python Concepts
• List comprehensions
• Generator functions
• Decorators
• Iterators
• Multithreading & multiprocessing
• Virtual environments & pip
• Generator functions
• Decorators
• Iterators
• Multithreading & multiprocessing
• Virtual environments & pip
Module 17: Testing & Debugging
• Debugging techniques
• Using pdb
• Unit testing
• unittest framework
• pytest overview
• Code optimization
• Using pdb
• Unit testing
• unittest framework
• pytest overview
• Code optimization
Module 18: Packaging & Deployment
• Creating Python packages
• requirements.txt
• Virtual environments
• Executable creation
• Basic deployment concepts
• requirements.txt
• Virtual environments
• Executable creation
• Basic deployment concepts
Module 19: Mini Projects
• Calculator application
• File organizer
• Student management system
• Web scraper
• Automation scripts
• File organizer
• Student management system
• Web scraper
• Automation scripts
Module 20: Final Project & Career Guidance
• Real-world project development
• Git & GitHub basics
• Resume & portfolio preparation
• Python job roles
• Interview questions & coding practice
• Git & GitHub basics
• Resume & portfolio preparation
• Python job roles
• Interview questions & coding practice
Python Master
Instructor
A Python instructor teaches programming concepts, problem-solving, and real-world applications using Python for beginners and advanced learners.