Python Advanced Concepts
Course
836 Learners Already enrolled- Master best practices for importing and managing dependencies.
- Ensure robust error handling in your applications by handling exceptions, including creating custom exception classes, and using context managers.
- Automate file operations in your projects.
- Master automation testing with Pytest and Unittest. Learn how to effectively cover various test cases.
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There are 6 modules in this course
You will acquire practical skills in Python's modules and imports for efficient code management. Master advanced Error Handling techniques for more reliable applications, automate file operations with File Handling, and learn robust testing strategies with Pytest and Unittest to ensure your code's integrity.- Python Project Structure: Organizing Code for ScalabilityPreview
- Understanding Python ModulesPreview
- Importing Modules in Python: Best Practices for Code ReusabilityPreview
- Exploring Python Libraries: Built-in and Third-Party SolutionsPreview
- Python Standard Library: Essential Modules for Everyday TasksPreview
- Managing Python PackagesPreview
- Fundamentals of Error Handling in Python: Preventing Code CrashesPreview
- Raising Exceptions in Python: Triggering and Managing ErrorsPreview
- Executing Code After Exceptions: Handling Cleanup OperationsPreview
- Using Assertions in Python: Debugging and Ensuring Code IntegrityPreview
- Best Practices for Exception HandlingPreview
- Introduction to File Handling in PythonPreview
- Reading and Writing Files: Handling Text and Data EfficientlyPreview
- Advanced File Operations: Modifying and Managing File ContentPreview
- Working with File Paths in PythonPreview
- Using Context Managers for File Handling in PythonPreview
- Creating Custom Context ManagersPreview
- Handling Binary Files in PythonPreview
- Python Iterables: Understanding Sequences and Data StructuresPreview
- Understanding Iterators in PythonPreview
- Lazy Evaluation in Python: Optimizing Memory and PerformancePreview
- Introduction to Generators: Yielding Values for Efficient IterationPreview
- Practical Applications of Generators: Real-World Use CasesPreview
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Stephanie Chan
As I went through the first course of the Python track, I liked the way the course was lay out (in easy and digestible modules) with little exercises at the end of each concept.
Daniel Chinea
I have gained a lot of practical and logical thinking skills, along with patience for myself and confidence in myself that I can learn programming.
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The learning was progressive and made it easy to follow along and make progress. I could feel my skills increasing and building on each other as the course went along.
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Showing 3 of 7 reviews
Andrius Gedvilas
5
Reviewed on Feb 28, 2025
Gaya Messaoudini
5
Reviewed on Feb 20, 2025
Jaime Hyland
5
Reviewed on Feb 10, 2025
I'm learning a lot. The materials are pretty concentrated. Challenging but doable.
Recommended if you're interested in learning Python
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