Beyond Basic Programming - Intermediate Python
Advanced Python skills: Learn expert coding techniques & best practices. Level up your programming abilities with practical insights.
Course Content
Beyond Basic Programming - Intermediate Python is an intermediate-level Udemy course taught by Dr. Mohammad Nauman. It runs 3h 6m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 273 reviews, with 1,456 students enrolled. It is a paid course, last updated March 2022.
Ready to Level Up Your Python Programming Skills?
You've mastered the basics of Python – variables, conditionals, loops, lists, and dictionaries. But now you're encountering advanced concepts that seem daunting. How do you transition from a beginner to a proficient Python developer? This course provides the roadmap.
Building on your existing Python foundation, we delve into advanced language constructs typically omitted from introductory courses. Master powerful tools like:
- Generators: Write memory-efficient code for large datasets.
- Decorators: Enhance functions and classes with added functionality.
- Callbacks: Understand asynchronous programming patterns.
- Higher-Order Functions: Write more flexible and reusable code.
- Context Managers: Simplify resource management.
Beyond core language features, we'll explore essential professional tools:
- Logging: Implement robust logging strategies for effective bug tracking in production environments.
- Testing: Learn best practices for writing effective tests.
Production-Ready Skills:
This course tackles critical concepts for building scalable and reliable applications:
- Parallel Programming: Understand and implement multithreading and synchronization techniques to optimize performance. We'll use a case study to illustrate why parallel programming is crucial and how to apply it effectively.
- Asynchronous Programming (asyncio): Master
asyncio, the modern approach to concurrency in Python. This is vital for building responsive applications, particularly in web development. We'll present this paradigm in an intuitive, easy-to-understand manner.
A Case Study Approach:
We emphasize a case study-driven approach, demonstrating the practical application of each concept and highlighting how they integrate to solve real-world problems. You'll understand why you need these tools and how to use them effectively.
Dedicated Support:
Your success is our priority. We offer maximum response times (up to 15 hours) in the Q&A forum. Don't hesitate to ask questions – we're here to help you navigate challenges and accelerate your learning.
What You'll Learn:
- Cross-cutting Tools: Gain proficiency in logging and testing for improved code quality.
- List Comprehension & Advanced List Usage: Explore advanced techniques for manipulating lists.
- Intermediate Python Concepts: Deepen your understanding of decorators, generators, and context managers.
- Parallel Programming: Learn multithreading, synchronization, and lock management.
- Asynchronous Programming (asyncio): Master asynchronous programming for efficient concurrency.
- Data Plotting: Visualize data effectively.
- Regular Expressions: Become proficient in using regular expressions without the common pitfalls.
About the Instructor:
This course is led by an experienced educator and researcher with a PhD in Security and a PostDoc from the Max Planck Institute for Software Systems. With over 17 years of experience working with computers and 15+ years of teaching, the instructor has 10+ years of professional experience as a Linux System Administrator/VoIP DevOp, including a proven track record on UpWork (5.0-star rating).
Who is this course for?
This course is designed for anyone who:
- Has a solid foundation in Python and wants to advance their skills.
- Seeks to learn the tools and techniques used by professional Python developers.
Prerequisites:
Basic knowledge of Python (variables, conditionals, loops, basic list and dictionary usage, basic file handling) is required.
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