PYTHON – Pro-Graduate

About Course

Dive into the world of Python with our comprehensive training program. Whether you’re a programming novice or an experienced developer, this course covers the entire spectrum of Python, from basic syntax to advanced topics like web development, data analysis, and machine learning. Get hands-on experience, practical insights, and real-world applications as you journey through Python mastery.

Course Content

Introduction to Python

Understanding Python and Its Versatility

00:00
Installing Python and Setting Up the Development Environment

00:00
Python Syntax and Basic Data Types

00:00
Control Flow: Conditional Statements and Loops

00:00

Functions and Modules

Data Structures in Python

Object-Oriented Programming (OOP) in Python

File Handling and I/O Operations

Python for Web Development

Data Analysis with Python

Introduction to Machine Learning with Python

Working with APIs and Web Scraping

Testing and Debugging in Python

Python Best Practices and Design Patterns

Final Project: Developing a Python Application from Scratch

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About Course

What Will You Learn?

Course Content

Introduction to Python

Understanding Python and Its Versatility

Installing Python and Setting Up the Development Environment

Python Syntax and Basic Data Types

Control Flow: Conditional Statements and Loops

Functions and Modules

Defining and Calling Functions

Working with Built-in and Custom Modules

Function Arguments and Return Values

Handling Exceptions and Errors

Data Structures in Python

Lists, Tuples, and Sets

Dictionaries and Their Applications

Understanding and Using Generators

List Comprehensions and Lambda Functions

Object-Oriented Programming (OOP) in Python

Introduction to OOP Concepts

Creating Classes and Objects

Inheritance and Polymorphism

Working with Advanced OOP Features

File Handling and I/O Operations

Reading and Writing Text Files

Working with Binary Files

Exception Handling in File Operations

Serializing and Deserializing Data

Python for Web Development

Introduction to Web Development with Python

Building Web Applications with Flask

Connecting to Databases in Flask Applications

Templating Engines and Front-End Integration

Data Analysis with Python

Exploratory Data Analysis (EDA)

Data Cleaning and Preprocessing

Data Visualization with Matplotlib and Seaborn

Introduction to Pandas for Data Manipulation

Introduction to Machine Learning with Python

Overview of Machine Learning

Supervised Learning: Regression and Classification

Unsupervised Learning: Clustering and Dimensionality Reduction

Model Evaluation and Hyperparameter Tuning

Working with APIs and Web Scraping

Making HTTP Requests with Requests Library

Parsing HTML and XML with BeautifulSoup

Consuming RESTful APIs

Building a Web Scraper

Testing and Debugging in Python

Writing and Running Tests with pytest

Debugging Techniques in Python

Profiling and Optimizing Code

Python Best Practices and Design Patterns

Code Organization and Project Structure

Pythonic Code and Idiomatic Python

Common Design Patterns in Python

Final Project: Developing a Python Application from Scratch

Applying Knowledge to Design and Implement a Real-World Python Application

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