Basic and Advanced Python Course

📚 Python Course Schedule

Course	Basic and Advanced Python Course
Duration	40 hours
Mode	Online
Start Date	27 July'25
Day and Time	Weekends, 5PM to 7PM IST
Targeted Participants	Software Professionals and College students
Prerequisites	Nil
Other Details	Will provide:     15 study materials     800+ interview questions     Course completion certification

📚 Python Course Curriculum

Module	Duration (in Hours)
Demo Class Overview of Python Why Python is ruling the world? Why should someone learn Python? Advantages of Python over other programming languages	1
Basics about programming Syntax/Semantics Errors Interpreter/Compiler High level/Low level programming language Type of applications Full stack Development Debugging Reasoning and Problem solving	1
Four important commands of Python Help Type Dir Id	1
Python Setup Installing Python Setting up the environmental variables	0.25
Block diagram of a computer Input Processing Output	0.25
Output Print without formatting Print with formatting	0.5
Input Input without prompting Input with prompting Type Casting	0.5
Data Types Integer Float Complex String Boolean	3
Data Structures List Tuple Set Dictionary	4
Copy Shallow Copy Deep Copy	0.5
Operators Arithmetic Operators Comparison (Relational) Operators Assignment Operators Logical Operators Identity Operators Membership Operators Bitwise Operators	0.25
Conditional Statements If Else Elif	0.5
Looping Statements For While break continue range enumerate	1.75
Comprehensions List Comprehension Set Comprehension Dictionary Comprehension zip	1
Functions Functions Seven types of passing arguments Passing arguments via command line Lambda Function Recursive Function	2.5
Functional Programming Map Filter Reduce	1
Scoping Namespace LEGB Rule Globals and Locals	1
Error handling Static Analysis tool - Flake8 Exception handling (try,except,else,finally) Raise exception Traceback	1
Iterator	0.5
Generator	0.5
Decorator	2
File Handling File modes (R,W,A) Positioning cursor (fp.tell, fp.seek) Methods for Read/Write/Append Context Manager	2
Python Logging	0.5
Python Debugger	0.5
Python Packaging Python Execution flow (Byte code ->PVM) Module How to import a module (from, import) Library Package PIP Commands How to create a Python package using PyInstaller How to create a Python virtual environment	2
Frequently being used modules OS Sys Time Subprocess	0.5
OOPS Introduction to OOPS Characteristics of OOPS Class and Objects Inheritance Polymorphism, function overloading and operator overloading	4.5
Parallelism Multi Threading Multi Processing	2
Regular Expressions	2
Pickling and UnPickling	0.5
Unit Testing Framework	0.5
Introduction to Data Analytics using Python Introduction to Data Analytics NumPy Pandas Scikit learn Matplotlib Seaborn	1
Total	40