Udemyintermediateen

Beyond Basic Programming - Intermediate Python

Advanced Python skills: Learn expert coding techniques & best practices. Level up your programming abilities with practical insights.

4.5(273)
1,456students
3h 6m
Certificate
Dr. Mohammad Nauman
Dr. Mohammad NaumanHelping YOU learn software engineering, quickly and easily!

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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