Python

Python

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  • Duration : 8 - 96 hours
  • Levels : Beginner, Intermediate and Advanced
  • Lectures : 2 - 24
  • Categories:Coding & Programming
  • Tags: PythonProgramming, PythonDeveloper
Price:$250 - $2500
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Immerse yourself in the world of Python programming with our comprehensive course at Intell Edge Technologies. Whether you're a novice or an experienced developer, this hands-on program covers the fundamental principles of Python, including syntax, data structures, and object-oriented programming. Dive into advanced topics such as web development with frameworks like Django, data science with libraries like NumPy and Pandas, and machine learning with tools like TensorFlow and PyTorch. The course places a strong emphasis on practical application through real-world projects, collaborative coding exercises, and adherence to industry best practices. Explore Python's versatility in various domains, from automation and scripting to web development and artificial intelligence. Join us to elevate your Python skills and navigate the ever-expanding landscape of programming with confidence and proficiency.

  • Versatile Scripting
  • Data Handling
  • Web Development
  • Machine Learning
  • Automation Mastery
  • Exception Handling

Overview

This curriculum provides a comprehensive understanding of Python, starting with the basics and progressing towards more advanced concepts, including web development, data science, and machine learning. Depending on the audience's prior knowledge and depth of coverage required, additional topics or projects can be added. Hands-on exercises and projects are crucial for a complete learning experience.

Module 1: Introduction to Python Basics

  • Overview of Python and its Use Cases
  • Setting Up the Python Development Environment (IDE, Jupyter Notebooks)
  • Basic Syntax, Variables, and Data Types
  • Control Flow (if, else, switch) and Loops (for, while)
  • Functions and Scope
  • Lists, Tuples, and Dictionaries

Module 2: Object-Oriented Programming (OOP) in Python

  • Introduction to OOP Concepts in Python
  • Classes and Objects
  • Inheritance and Polymorphism
  • Encapsulation and Abstraction
  • Exception Handling
  • File I/O and Serialization

Module 3: Advanced Python Concepts

  • Lambda Expressions
  • Generators and Iterators
  • Decorators
  • Context Managers
  • Functional Programming in Python
  • Working with Regular Expressions

Module 4: Python Web Development

  • Introduction to Web Development with Python
  • Flask Framework for Web Applications
  • Templating Engines (Jinja2)
  • Handling Forms and User Input
  • RESTful API Development with Flask
  • SQLAlchemy for Database Interaction

Module 5: Data Science and Machine Learning with Python

  • Introduction to NumPy and Pandas
  • Data Visualization with Matplotlib and Seaborn
  • Introduction to Scikit-Learn for Machine Learning
  • Building Machine Learning Models
  • Working with Databases in Python
  • Deployment of Machine Learning Models

Module 6: Final Project and Specializations

  • Capstone Project: Building a Python Application
  • Specialization Option 1: Cybersecurity with Python
  • Specialization Option 2: Automation and Scripting
  • Specialization Option 3: Game Development with Pygame
  • Code Reviews and Best Practices
  • Emerging Trends and Future Developments in Python

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