Mastering Python : Beginner to Advanced

Enhance your Python skills with our comprehensive course that takes you from a beginner to an advanced level.

Category Skill Development

What you'll learn

Foundational Python Programming Skills: Master core Python concepts, including variables, data types, loops, functions, and object-oriented programming.
Intermediate and Advanced Techniques: Gain expertise in error handling, decorators, generators, and working with advanced data structures.
Real-World Applications: Learn to build web applications, automate tasks, and analyze data using popular libraries like pandas, numpy, and matplotlib.
Problem-Solving with Projects: Apply your knowledge to practical projects such as web scraping, building APIs, and developing basic machine learning models.
ndustry Readiness: Acquire the skills required for Python-based careers in data science, web development, and automation, with hands-on experience.

Course Syllabus

Module 1: Introduction to Python (Beginners)

a:16:{i:0;s:109:"Getting Started: What is Python? Installing Python and Setting Up the Environment (Anaconda Jupyter VS Code)";i:1;s:33:"Writing Your First Python Program";i:2;s:21:"Python IDEs and Tools";i:3;s:55:"Core Concepts: Variables Data Types and Type Conversion";i:4;s:23:"Input/Output Operations";i:5;s:47:"Basic Operators (Arithmetic Comparison Logical)";i:6;s:32:"Strings and String Manipulations";i:7;s:12:"Control Flow";i:8;s:18:"If/Else Statements";i:9;s:17:"Loops (For While)";i:10;s:5:"Break";i:11;s:8:"Continue";i:12;s:4:"Pass";i:13;s:56:"Basic Data Structures Lists Tuples Sets and Dictionaries";i:14;s:38:"Indexing Slicing and Basic Operations";i:15;s:33:"Iteration through Data Structures";}

Module 2: Intermediate Python

a:20:{i:0;s:9:"Functions";i:1;s:30:"Defining and Calling Functions";i:2;s:27:"Arguments and Return Values";i:3;s:43:"Lambda Functions and Higher-Order Functions";i:4;s:9:"Recursion";i:5;s:28:"Error and Exception Handling";i:6;s:35:"Understanding Errors and Exceptions";i:7;s:3:"Try";i:8;s:6:"Except";i:9;s:7:"Finally";i:10;s:17:"Custom Exceptions";i:11;s:18:"Working with Files";i:12;s:37:"Reading and Writing Text/Binary Files";i:13;s:33:"Context Managers (with statement)";i:14;s:13:"File Handling";i:15;s:9:"Use Cases";i:16;s:16:"Python Libraries";i:17;s:35:"Introduction to os sys math random";i:18;s:38:"Working with Dates and Time (datetime)";i:19;s:26:"Basics of pandas and numpy";}

Module 3: Object-Oriented Programming (OOP)

a:12:{i:0;s:19:"Classes and Objects";i:1;s:28:"Defining Classes and Objects";i:2;s:30:"Instance Variables and Methods";i:3;s:28:"Inheritance and Polymorphism";i:4;s:31:"Single and Multiple Inheritance";i:5;s:29:"Method Overriding and Super()";i:6;s:13:"Encapsulation";i:7;s:29:"Private and Protected Members";i:8;s:19:"Property Decorators";i:9;s:21:"Advanced OOP Concepts";i:10;s:20:"Magic/Dunder Methods";i:11;s:24:"Static and Class Methods";}

Module 4: Advanced Python

a:18:{i:0;s:24:"Advanced Data Structures";i:1;s:6:"Stacks";i:2;s:38:"Queues and Linked Lists (Using Python)";i:3;s:55:"Introduction to Collections (deque Counter defaultdict)";i:4;s:24:"Iterators and Generators";i:5;s:28:"Creating and Using Iterators";i:6;s:30:"Building Generators with yield";i:7;s:21:"Generator Expressions";i:8;s:10:"Decorators";i:9;s:29:"Function and Class Decorators";i:10;s:19:"Chaining Decorators";i:11;s:11:"Concurrency";i:12;s:29:"Multithreading with threading";i:13;s:36:"Multiprocessing with multiprocessing";i:14;s:30:"Async Programming with asyncio";i:15;s:29:"Error Handling Best Practices";i:16;s:30:"Raising Exceptions Effectively";i:17;s:31:"Logging with the logging Module";}

Module 5: Applications and Real-World Projects

a:16:{i:0;s:12:"Web Scraping";i:1;s:32:"Using BeautifulSoup and requests";i:2;s:34:"Automating Tasks with Scraped Data";i:3;s:31:"Data Analysis and Visualization";i:4;s:26:"Advanced pandas Operations";i:5;s:44:"Visualizing Data with matplotlib and seaborn";i:6;s:38:"Exploratory Data Analysis (EDA) Basics";i:7;s:15:"Web Development";i:8;s:43:"Introduction to Flask and Django Frameworks";i:9;s:19:"Building a REST API";i:10;s:10:"Automation";i:11;s:39:"Automating Emails and File Organization";i:12;s:37:"Using selenium for Browser Automation";i:13;s:23:"Machine Learning Basics";i:14;s:57:"Introduction to Machine Learning Libraries (scikit-learn)";i:15;s:48:"Building a Basic Regression/Classification Model";}

Module 6: Capstone Projects

a:4:{i:0;s:36:"Project Options (Choose One or More)";i:1;s:62:"1. Building a Personal Finance Tracker with Data Visualization";i:2;s:49:"2. Developing a Web Scraper for Live Stock Prices";i:3;s:45:"3. Automating Daily Tasks with Python Scripts";}

Course Syllabus

Getting Started: What is Python? Installing Python and Setting Up the Environment (Anaconda Jupyter VS Code)
Writing Your First Python Program
Python IDEs and Tools
Core Concepts: Variables Data Types and Type Conversion
Input/Output Operations
Basic Operators (Arithmetic Comparison Logical)
Strings and String Manipulations
Control Flow
If/Else Statements
Loops (For While)
Break
Continue
Pass
Basic Data Structures Lists Tuples Sets and Dictionaries
Indexing Slicing and Basic Operations
Iteration through Data Structures

Functions
Defining and Calling Functions
Arguments and Return Values
Lambda Functions and Higher-Order Functions
Recursion
Error and Exception Handling
Understanding Errors and Exceptions
Try
Except
Finally
Custom Exceptions
Working with Files
Reading and Writing Text/Binary Files
Context Managers (with statement)
File Handling
Use Cases
Python Libraries
Introduction to os sys math random
Working with Dates and Time (datetime)
Basics of pandas and numpy

Classes and Objects
Defining Classes and Objects
Instance Variables and Methods
Inheritance and Polymorphism
Single and Multiple Inheritance
Method Overriding and Super()
Encapsulation
Private and Protected Members
Property Decorators
Advanced OOP Concepts
Magic/Dunder Methods
Static and Class Methods

Advanced Data Structures
Stacks
Queues and Linked Lists (Using Python)
Introduction to Collections (deque Counter defaultdict)
Iterators and Generators
Creating and Using Iterators
Building Generators with yield
Generator Expressions
Decorators
Function and Class Decorators
Chaining Decorators
Concurrency
Multithreading with threading
Multiprocessing with multiprocessing
Async Programming with asyncio
Error Handling Best Practices
Raising Exceptions Effectively
Logging with the logging Module

Web Scraping
Using BeautifulSoup and requests
Automating Tasks with Scraped Data
Data Analysis and Visualization
Advanced pandas Operations
Visualizing Data with matplotlib and seaborn
Exploratory Data Analysis (EDA) Basics
Web Development
Introduction to Flask and Django Frameworks
Building a REST API
Automation
Automating Emails and File Organization
Using selenium for Browser Automation
Machine Learning Basics
Introduction to Machine Learning Libraries (scikit-learn)
Building a Basic Regression/Classification Model

Project Options (Choose One or More)
1. Building a Personal Finance Tracker with Data Visualization
2. Developing a Web Scraper for Live Stock Prices
3. Automating Daily Tasks with Python Scripts

Requirements

Laptop
Good wifi

Description

Phython CPurse

This Python Course is designed to take you from a complete beginner to an advanced Python programmer, equipping you with the skills needed to solve real-world problems. You’ll start with the basics, including variables, loops, and functions, and progress to advanced topics such as object-oriented programming, decorators, and asynchronous programming. The course emphasizes hands-on learning through interactive coding exercises, real-world projects, and the use of popular Python libraries like pandas, numpy, and matplotlib. Whether you're looking to build web applications, automate tasks, or dive into data science, this course provides a comprehensive foundation for a successful Python career.

Who this course is for:

Beginners
Intermediate
Learners
Aspiring Data Scientists
Automation Enthusiasts Career Switchers

Meet your instructors

Rashmi Ranjan Mangaraj

AI & Data Sceince

View Profile

Rashmi Ranjan Mangaraj is a highly skilled AI/ML Engineer with 6 years of practical, hands-on experience in developing and deploying artificial intelligence and machine learning solutions. His expertise lies in creating data-driven models and AI-powered solutions tailored to solve complex business c...

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Course Syllabus

Module 1: Introduction to Python (Beginners)

a:16:{i:0;s:109:"Getting Started: What is Python? Installing Python and Setting Up the Environment (Anaconda Jupyter VS Code)";i:1;s:33:"Writing Your First Python Program";i:2;s:21:"Python IDEs and Tools";i:3;s:55:"Core Concepts: Variables Data Types and Type Conversion";i:4;s:23:"Input/Output Operations";i:5;s:47:"Basic Operators (Arithmetic Comparison Logical)";i:6;s:32:"Strings and String Manipulations";i:7;s:12:"Control Flow";i:8;s:18:"If/Else Statements";i:9;s:17:"Loops (For While)";i:10;s:5:"Break";i:11;s:8:"Continue";i:12;s:4:"Pass";i:13;s:56:"Basic Data Structures Lists Tuples Sets and Dictionaries";i:14;s:38:"Indexing Slicing and Basic Operations";i:15;s:33:"Iteration through Data Structures";}

Module 2: Intermediate Python

a:20:{i:0;s:9:"Functions";i:1;s:30:"Defining and Calling Functions";i:2;s:27:"Arguments and Return Values";i:3;s:43:"Lambda Functions and Higher-Order Functions";i:4;s:9:"Recursion";i:5;s:28:"Error and Exception Handling";i:6;s:35:"Understanding Errors and Exceptions";i:7;s:3:"Try";i:8;s:6:"Except";i:9;s:7:"Finally";i:10;s:17:"Custom Exceptions";i:11;s:18:"Working with Files";i:12;s:37:"Reading and Writing Text/Binary Files";i:13;s:33:"Context Managers (with statement)";i:14;s:13:"File Handling";i:15;s:9:"Use Cases";i:16;s:16:"Python Libraries";i:17;s:35:"Introduction to os sys math random";i:18;s:38:"Working with Dates and Time (datetime)";i:19;s:26:"Basics of pandas and numpy";}

Module 3: Object-Oriented Programming (OOP)

a:12:{i:0;s:19:"Classes and Objects";i:1;s:28:"Defining Classes and Objects";i:2;s:30:"Instance Variables and Methods";i:3;s:28:"Inheritance and Polymorphism";i:4;s:31:"Single and Multiple Inheritance";i:5;s:29:"Method Overriding and Super()";i:6;s:13:"Encapsulation";i:7;s:29:"Private and Protected Members";i:8;s:19:"Property Decorators";i:9;s:21:"Advanced OOP Concepts";i:10;s:20:"Magic/Dunder Methods";i:11;s:24:"Static and Class Methods";}

Module 4: Advanced Python

a:18:{i:0;s:24:"Advanced Data Structures";i:1;s:6:"Stacks";i:2;s:38:"Queues and Linked Lists (Using Python)";i:3;s:55:"Introduction to Collections (deque Counter defaultdict)";i:4;s:24:"Iterators and Generators";i:5;s:28:"Creating and Using Iterators";i:6;s:30:"Building Generators with yield";i:7;s:21:"Generator Expressions";i:8;s:10:"Decorators";i:9;s:29:"Function and Class Decorators";i:10;s:19:"Chaining Decorators";i:11;s:11:"Concurrency";i:12;s:29:"Multithreading with threading";i:13;s:36:"Multiprocessing with multiprocessing";i:14;s:30:"Async Programming with asyncio";i:15;s:29:"Error Handling Best Practices";i:16;s:30:"Raising Exceptions Effectively";i:17;s:31:"Logging with the logging Module";}

Module 5: Applications and Real-World Projects

a:16:{i:0;s:12:"Web Scraping";i:1;s:32:"Using BeautifulSoup and requests";i:2;s:34:"Automating Tasks with Scraped Data";i:3;s:31:"Data Analysis and Visualization";i:4;s:26:"Advanced pandas Operations";i:5;s:44:"Visualizing Data with matplotlib and seaborn";i:6;s:38:"Exploratory Data Analysis (EDA) Basics";i:7;s:15:"Web Development";i:8;s:43:"Introduction to Flask and Django Frameworks";i:9;s:19:"Building a REST API";i:10;s:10:"Automation";i:11;s:39:"Automating Emails and File Organization";i:12;s:37:"Using selenium for Browser Automation";i:13;s:23:"Machine Learning Basics";i:14;s:57:"Introduction to Machine Learning Libraries (scikit-learn)";i:15;s:48:"Building a Basic Regression/Classification Model";}

Module 6: Capstone Projects

a:4:{i:0;s:36:"Project Options (Choose One or More)";i:1;s:62:"1. Building a Personal Finance Tracker with Data Visualization";i:2;s:49:"2. Developing a Web Scraper for Live Stock Prices";i:3;s:45:"3. Automating Daily Tasks with Python Scripts";}

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