Python(Core & Advanced)
Learn Python the Smart Way - Core + Advanced in One Course.
Our Python (Core & Advanced) online course is designed to take you from complete basics to professional-level programming with a clear and structured approach. You will learn essential concepts like data types, loops, functions, OOP, file handling, and modules, followed by advanced topics such as automation, APIs, data analysis, and real-time project development. The course includes live interactive classes, recorded sessions, hands-on practice tasks, and full mentor support to ensure strong practical skills. It is ideal for beginners, students, and working professionals who want to build a strong IT career with Python.
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Course Duration
3 Months
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Main Locations
Dfactory (Co Working Space) 1st Floor, Swaminarayan Building, Above IDBI Bank, 60ft road, Ambadi Rd, Vasai West, Vasai-Virar, Maharashtra 401202
Dfactory (Co Working Space) 1st Floor, Swaminarayan Building, Above IDBI Bank, 60ft road, Ambadi Rd, Vasai West, Vasai-Virar, Maharashtra 401202
Python (Core & Advanced) Course Syllabus
1. Python Basics
- History of Python
- What is Python
- Advantages & Limitations
- Who Uses Python
- Features & Applications
- Versions & Flavors of Python
- Python Virtual Machine (PVM)
- Installation & Setup
2. Python Operations & Execution
- Python Modes of Execution
- Interactive Mode
- Script Mode
- Python Editors & IDEs
- Comments in Python
3. Data Types, Variables & Strings
- Python Data Types
- Constants & Variables
- Input() and Print() Functions
- Type Conversion
- Escape Sequences
- Strings, Indexing & Slicing
4. Python Lists
- List Properties
- Creating Lists
- Indexing & Slicing
- List Operations & Functions
- Nested Lists
- Insertion, Modification & Deletion
5. Tuples & Strings
- Tuple Properties & Creation
- Tuple Operations & Functions
- Nested Tuples
- Difference between List & Tuple
- String Operations & Methods
- Split, Join, Comparison & Case Change
6. Sets & Dictionaries
- Set Properties & Creation
- Set Operations & Mathematical Operations
- Insertion & Deletion
- Dictionary Properties & Creation
- Dictionary Operations & Methods
- Nested Dictionaries
- Difference between Set & Dictionary
7. Operators & Flow Control
- Arithmetic, Logical & Relational Operators
- Bitwise & Assignment Operators
- Membership & Identity Operators
- Indentation & Blocks
- If, If-Else, If-Elif Statements
8. Looping Statements
- While Loop & While-Else
- For Loop & Range()
- Nested Loops
- Break, Continue & Pass
9. Functions in Python
- Defining & Calling Functions
- Function Properties & Types
- Arguments (Default, Keyword, Variable Length)
- Local & Global Variables
- Recursive & Boolean Functions
- Lambda, Map, Filter & Reduce
10. Modules & Packages
- What is a Module
- Built-in & User Defined Modules
- Import Statements & Aliases
- Reloading Modules
- Math, Random, Datetime & OS Modules
11. Error & Exception Handling
- Types of Errors
- Compile-Time & Run-Time Errors
- Try, Except & Finally
- Multiple & Nested Exceptions
- User Defined Exceptions & Raise
12. File Handling
- File Types & Operations
- Open, Close, Read & Write
- Append Mode
- tell() & seek()
- With Open Statement
13. OOPS Concepts
- Class & Object
- Encapsulation & Abstraction
- Constructors & Destructors
- Inheritance & Types
- Polymorphism & Method Overriding
- Garbage Collection & Object Class
14. Regular Expressions
- Introduction to Regular Expressions
- Special Characters
- Match, Search & Findall
- Sub & Finditer
- Validations
15. Database Connectivity
- Python Database Connectivity
- Creating Database & Tables
- Executing SQL using Cursor
- Fetchone & Fetchall
- Insert, Update & Delete Operations
16. NumPy, Pandas & Visualization
- NumPy Arrays & Advantages
- Multi-dimensional Arrays
- Reshaping Arrays
- Pandas Introduction
- Matplotlib Basics
17. Mini Project
- Real-time Python Project
- Logic Implementation
- End-to-End Execution