Take your programming skills to the next level with our all-in-one Python & Advanced Python course. Whether you’re a beginner starting with the basics or a developer ready to master advanced concepts, this course guides you through every step of your Python journey.
Build strong fundamentals in Python syntax and logic, then progress into advanced topics like object-oriented programming, file handling, error management, and real-world project development — all in one structured learning path.
Why should I join?
- Python is one of the best investments you can make in your personal or professional growth right now. Master data analysis using tools like PivotTables, charts, and conditional formatting. Understand trends and make data-driven decisions.
- Python is perfect for beginners because the code is simple and readable. At the same time, it’s used in serious, professional-level projects—from AI to web apps. Python is growing fast and won’t be outdated anytime soon. It’s used in everything from automation to space missions.
Course Content
Python
ADVANCED PYTHON
1. Introduction to Python
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4 Topics
• Overview of Python and its features
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• Installing Python and setting up the environment
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• Introduction to Python IDEs (e.g., PyCharm, VS Code, Jupyter Notebooks)
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• Running Python scripts and interactive mode
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2. Basic Syntax
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4 Topics
• Python syntax and indentation (importance of indentation)
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• Writing and executing Python programs
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• Python keywords and identifiers
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• Comments in Python (single-line and multi-line)
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3. Variables and Data Types
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4 Topics
• Declaring variables and assigning values
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• Common data types: integers, floats, strings, and booleans
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• Type conversion (casting) between different data types
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• Constants and naming conventions
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4. Basic Operators
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4 Topics
• Arithmetic operators: +, -, *, /, //, %, **
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• Comparison operators: ==, !=, >, =, <=
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• Logical operators: and, or, not
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• Assignment operators: =, +=, -=, *=, /=, etc.
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5. Control Flow Statements
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5 Topics
• Conditional statements: if, elif, else
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• Comparison and logical operators in conditions
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• Nested if statements
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• Using and, or, and not for complex conditions
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• Example: Simple decision-making programs
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6. Loops
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5 Topics
• for loop: Iterating over a range or sequence
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• while loop: Repeating an action until a condition is met
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• Using break to exit a loop
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• Using continue to skip an iteration
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• Looping with else in loops
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7. Functions
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4 Topics
• Defining functions using def
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• Function arguments (positional, keyword, default)
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• Returning values from functions
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• return vs Arguments statements
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8. Data Structures
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4 Topics
• Lists
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• Tuples
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• Dictionaries
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• Sets
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9. Error Handling and Exceptions
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2 Topics
• Handling exceptions with try, except
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• Using else and finally clauses in exception handling
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10. Basic Object-Oriented Programming (OOP) Concepts
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7 Topics
• Introduction to classes and objects
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• Creating a class and instantiating objects
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• Class attributes and instance attributes
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• Methods in classes (e.g., __init__, instance methods)
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• Basic inheritance (creating subclasses)
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• Introduction to Polymorphism and abstraction
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• Introduction Constructor
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11. Writing GUIs in Python
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8 Topics
• Introduction
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• Components and Events
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• An Example GUI
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• The root Component
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• Adding a Button
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• Entry Widgets
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• Text Widgets
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• Check buttons
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12. Python SQL Database Access
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7 Topics
• Introduction
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• Installation
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• DB Connection
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• Creating DB Table
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• INSERT, READ, UPDATE, DELETE operations
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• COMMIT & ROLLBACK operation
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• handling Errors
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13. Network Programming
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5 Topics
• Introduction
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• A Daytime Server
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• Clients and Servers
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• The Client Program
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• The Server Program
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14. Date and Time
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3 Topics
• sleep
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• Program execution time
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• more methods on date/time
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15. Some similar topics in-detailed
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6 Topics
• Filter
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• Map
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• Reduce
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• Decorators
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• Frozen set
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• Collections
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16. Regular expression
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6 Topics
• Split
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• Working with special characters, dates, emails
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• Quantifiers
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• Match and find all
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• character sequence and substitute
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• Search method
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17. Threads ESSENTIAL
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5 Topics
• Class and threads
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• Multi-threading
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• Synchronization
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• Treads Life cycle
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• use cases
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Module 18.
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1 Topic
• Multithreading
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Module 19.
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1 Topic
• Python JSON
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Module 20.
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1 Topic
• Python Excel
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Includes
20 Lessons
86 Topics
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