Python: 100% hands-on/practical course
What you'll learn
- You will be able to work with variables, data types and operations
- You will learn how to work different types of functions such common functions, lambda functions, iterators, generator, decorator
- You will work with class and object
- You will work with OOP principles such is inheritance, polymorphism, abstraction and encapsulation
- You will work practically with multithreading in Python
- You will be able to handle different types of exceptions
Requirements
- Laptop and Internet
- Installation of Python and VS Code
Description
Welcome to my 100% hands-on Python course, designed to equip you with the fundamental skills and knowledge needed to become proficient in Python programming. Throughout this course, you'll embark on an exciting journey through the world of Python, starting with the basics and gradually delving into more advanced topics.
We'll kick off with an introduction to Python, exploring its history, features, and the reasons behind its widespread popularity. From there, we'll dive into the essentials of programming, covering topics such as variables, data types, loops, conditions, and functions. Through practical exercises and real-world examples, you'll gain hands-on experience with writing Python code and solving problems.
As you progress, we'll dive deeper into Python's advanced features, including lambda functions, iterators, generators, decorators, and more. You'll learn how to harness the power of these tools to write cleaner, more efficient code and tackle complex programming tasks with ease.
But that's not all! This course goes beyond the basics to explore key concepts of object-oriented programming (OOP), such as inheritance, polymorphism, abstraction, and encapsulation. You'll discover how to create and manipulate objects, design robust class hierarchies, and leverage the principles of OOP to build scalable, maintainable software solutions.
Additionally, we'll cover essential topics like multithreading, allowing you to write concurrent programs that can perform multiple tasks simultaneously, and exception handling, enabling you to gracefully handle errors and unexpected situations in your code.
Who this course is for:
- For everyone who is willing to work 100 percent practical on Python and go for API development, Web Development, Automation, Data Analytics and Machine Learning
Instructor
- 4.5 Instructor Rating
- 1 Review
- 1,002 Students
- 2 Courses
Highly motivated, self-driven Software/Python engineer with years of extensive experience in the area of Software Development, APIs testing and development, software deployment, containerization, container orchestration, configuration management, infrastructure as code (IaC), CI/CD within Software, Data, Cloud and DevOps context. Hands-on with Python, Django, REST APIs and Django Rest Framework, FastAPI, Data analytics & Cleaning, Scripting, Terraform, Kubernetes, Jenkins, Ansible and AWS. Self-starter and management skills to effectively communicate with peers and address business needs. Have proven record of handling challenges, meeting business needs, and delivering business solutions without sacrificing quality and agility.
In addition to my technical skills, I am a strong collaborator and communicator, able to work effectively with cross-functional teams and clients to translate business needs into technical solutions. I am driven by the opportunity to make a positive impact through my work and am always looking for new challenges and opportunities to grow as a DevOps engineer.