Python for Advanced Course Description
Python for Advanced is a course for students who have a strong foundation in Python programming and want to learn the most advanced concepts and techniques. In this course, you will learn about object-oriented programming (OOP), design patterns, data science, machine learning, web development, and more. You will also have the opportunity to work on real-world projects and collaborate with other talented students.
This course is designed for students who want to become professional Python programmers. By the end of the course, you will be able to build complex and scalable Python applications.
Course Prerequisites:
Strong foundation in Python programming
Experience with object-oriented programming (OOP)
Experience with data structures and algorithms
Experience with version control systems (such as Git)
Course Objectives:
Learn advanced Python concepts and techniques, such as OOP, design patterns, data science, machine learning, and web development
Gain experience working on real-world Python projects
Develop the skills necessary to become a professional Python programmer
Course Content:
Object-oriented programming (OOP): OOP is a programming paradigm that uses objects and their interactions to design applications and computer programs. In Python, objects are created using classes. Classes are blueprints for objects, and they define the properties and behaviors that objects will have.
In the OOP section of the course, you will learn about the following topics:
* Classes and objects
* Inheritance
* Polymorphism
* Encapsulation
Design patterns: Design patterns are reusable solutions to common software design problems. They provide a way to structure your code in a way that is efficient, flexible, and maintainable.
In the design patterns section of the course, you will learn about the following topics:
* The singleton pattern
* The factory pattern
* The observer pattern
* The adapter pattern
* The facade pattern
Data science: Data science is the process of extracting knowledge from data. It involves using a variety of tools and techniques to collect, clean, analyze, and visualize data.
In the data science section of the course, you will learn about the following topics:
* Data wrangling
* Exploratory data analysis (EDA)
* Machine learning
* Statistical modeling
* Data visualization
Machine learning: Machine learning is a type of artificial intelligence that allows computers to learn without being explicitly programmed.
In the machine learning section of the course, you will learn about the following topics:
* Supervised learning
* Unsupervised learning
* Reinforcement learning
* Natural language processing (NLP)
* Computer vision
Web development: Web development is the process of creating and maintaining websites. Python can be used for both front-end and back-end web development.
In the web development section of the course, you will learn about the following topics:
* Django
* Flask
* HTML
* CSS
* JavaScript
Course Projects:
Throughout the course, you will have the opportunity to work on real-world Python projects. These projects will give you the chance to apply the skills you have learned in the course and to build a portfolio of work that you can show to potential employers.
Conclusion:
Python for Advanced is a comprehensive course that will teach you the most advanced Python concepts and techniques. If you are serious about becoming a professional Python programmer, then this course is for you.