Advanced Python

Projects and Real-World Applications

Description

This advanced Python course is designed for those who already have a basic understanding of Python and want to explore more complex topics and real-world applications. You’ll dive deeper into Python’s libraries and tools, learning how to build projects like web scrapers, automation scripts, data analysis tools, and more. Through hands-on projects, you will enhance your understanding of object-oriented programming, working with external libraries, file handling, and connecting to APIs. By the end of this course, you’ll have the skills to develop Python applications that solve practical problems, making you a highly capable Python programmer ready for professional projects.

Course Content

Introduction to Advanced Python

Overview of advanced Python concepts and tools covered in the course.

Object-Oriented Programming (OOP) in Python

Deep dive into classes, objects, inheritance, polymorphism, and encapsulation in Python.

Working with External Libraries

Learn to use Python’s powerful libraries like NumPy, Pandas, and Requests for data analysis and automation.

Building and Using APIs

Introduction to RESTful APIs and how to interact with external APIs using Python.

Web Scraping with BeautifulSoup

Learn how to extract data from websites using the BeautifulSoup library.

File Handling and Databases

Work with text files, CSV files, and databases (SQLite) for storing and retrieving data.

Data Analysis with Pandas

Introduction to data analysis and manipulation using the Pandas library.

Automation with Python

Learn how to automate tasks such as sending emails, file management, and system monitoring.

Building a Web Scraping Project

Create a real-world project by scraping data from websites and processing it.

Final Project: Building a Complete Python Application

Apply everything you’ve learned to build a complete, real-world Python application.

Requirements

Basic knowledge of Python (preferably after completing Course 6 or equivalent).
A computer with internet access.
Python installed on your system (instructions will be provided).
Code editor: Visual Studio Code (recommended).
Familiarity with basic libraries like requests, Pandas, and BeautifulSoup is helpful, but not required.

What you'll learn

Master Python for real-world applications: Learn how to build useful applications that solve real problems.
Get hands-on experience: Complete projects that demonstrate your Python skills and enhance your portfolio.
Learn industry-standard libraries: Work with libraries that are widely used in Python development, such as Pandas and Requests.

Prepare for professional roles: Gain the skills needed to work on Python development projects in various domains, from web scraping to data analysis.
Boost your problem-solving skills: Tackle complex challenges like automation, API integration, and data processing.
Create marketable projects: By the end of this course, you’ll have tangible projects that showcase your abilities to future employers or clients.