Python Concepts
A comprehensive Python course covers fundamental concepts such as variables, data types, and control structures like loops and conditionals. These Python concepts form the basis of efficient programming.
Mastering Advanced Python Topics
As students progress, they delve into advanced topics including functions, modules, object-oriented programming (OOP), and libraries like Flask, Pandas, NumPy, and TensorFlow. Mastering these Python concepts enables developers to tackle complex projects.
Practical Applications of Python Concepts
Real-World Uses
Python concepts are applied in various practical areas, including web development, data analysis, machine learning, and automation.
Hands-on Learning
Hands-on projects and exercises reinforce theoretical knowledge through real-world problem-solving.
Career Opportunities
By the end of the course, students are well-equipped with the skills needed to develop robust Python applications and contribute effectively to diverse programming environments.
Learning Outcomes with Python
By the end of the course, students are well-equipped with the skills needed to develop robust Python applications and contribute effectively to diverse programming environments.
Duration - 2 Months
History and Evolution
Features and Benefits
Python Applications
Installing Python (Windows, Mac, Linux)
Setting Up an Integrated Development Environment (IDE) (PyCharm, VSCode, Jupyter Notebook)
Writing and Running Your First Python Script
Python Syntax Rules
Writing Comments
Code Indentation
Declaring Variables
Understanding Data Types (int, float, str, bool)
Type Conversion and Casting
Arithmetic Operators
Comparison Operators
Logical Operators
Assignment Operators
Bitwise Operators
Creating Expressions
Operator Precedence and Associativity
If Statements
If-Else Statements
Nested If Statements
For Loop
While Loop
Nested Loops
Break, Continue, and Pass Statements
Creating Lists
Accessing and Modifying List Elements
List Methods (append, remove, sort, etc.)
Creating Tuples
Accessing Tuple Elements
Tuple Operations
Creating Dictionaries
Accessing and Modifying Dictionary Elements
Dictionary Methods (keys, values, items, etc.)
Creating Sets
Set Operations
Set Methods (add, remove, union, intersection, etc.)
Function Syntax
Calling Functions
Function Arguments and Return Values
Default and Keyword Arguments
Lambda Functions
Scope and Lifetime of Variables
Importing Modules
Standard Library Modules (math, datetime, random, etc.)
Creating and Using Custom Modules
Introduction to Packages
Creating and Using Packages
Opening and Closing Files
Reading from Files
Writing to Files
Working with File Paths
read(), readline(), readlines()
write(), writelines()
seek(), tell()
Understanding Exceptions
Try and Except Blocks
Finally Block
Handling Multiple Exceptions
Raising Exceptions
Creating Custom Exceptions
Understanding Classes and Objects
Creating and Using Classes
Instance Variables and Methods
Constructors (init method)
Inheritance
Method Overriding
Encapsulation
Introduction to NumPy
Introduction to Pandas
Introduction to Matplotlib
Installing Libraries with pip
Importing and Using Libraries
Plotting with Matplotlib
Creating Basic Charts (Line, Bar, Histogram)
Customizing Plots (Titles, Labels, Legends)
Understanding Python Scripts
Writing Simple Automation Scripts
Scheduling Scripts
Practice Exercises for Each Module
Real-world Problem Solving
Building Small Python Applications
Implementing Data Processing Pipelines