Python Programming Advanced Training Course
Python Programming Advanced
Master advanced Python programming techniques in our 4-day Python Programming Advanced course. Learn object-oriented programming, design patterns, automated testing, debugging, and optimisation. Perfect for experienced Python users looking to build scalable and efficient applications.
Master advanced Python programming techniques in our 4-day Python Programming Advanced course. Learn object-oriented programming, design patterns, automated testing, debugging, and optimisation. Perfect for experienced Python users looking to build scalable and efficient applications.
Virtually Online Or On-Site
4 Days
Next Running:
26th November
UPCOMING COURSES
Course Information
Take your Python expertise to new heights with our Future Savvy 4-day Python Programming Advanced course. This advanced-level course is designed for experienced Python users who want to dive deeper into complex programming techniques and develop robust, scalable, and maintainable applications.
Throughout the course, you’ll master object-oriented programming, covering essential concepts such as classes, inheritance, polymorphism, and meta-programming. You’ll explore how to structure your code for flexibility and reuse by implementing design patterns like iterators, decorators, proxies, and factories.
You will also gain practical experience with automated testing using Python’s unit test library and pytest, ensuring that your code is reliable and easy to maintain. The course covers advanced logging, debugging, and exception-handling techniques to improve your ability to troubleshoot and refine your applications.
Additionally, you’ll learn best practices for writing maintainable code with coding standards, type hints, and reproducible environments, along with techniques for optimising your code for performance. This includes multi-threading, multiprocessing, and asynchronous programming, helping you write efficient code that scales.
Finally, you’ll delve into functional programming concepts, using functions like map, filter, and reduce to approach problems in new and efficient ways.
Course requirements
This course is intended for experienced Python users who have a solid understanding of programming fundamentals and object-oriented concepts. A background in writing Python code and some familiarity with functional programming is recommended.
What you will learn
With this Python Programming Advanced course, you will be able to:
- Master object-oriented programming, including meta-programming and inheritance
- Implement key design patterns such as iterators, decorators, factories, and proxies
- Write and maintain automated tests using Python's unit test library and pytest
- Debug, log, and handle exceptions effectively in complex applications
- Write maintainable, reusable, and well-documented code
- Optimise your programs for performance, including multi-threading and multiprocessing
- Explore functional programming concepts like map, filter, and reduce
- Utilise Python’s standard library and third-party tools to enhance your code
By the end of this 4-day course, you’ll have the expertise to tackle complex programming challenges, optimise your code for performance, and build efficient, scalable Python applications that meet professional standards.
All with our 100% Money-Back Guarantee and Unlimited Email Support.
Course Outline
1
Object Oriented Programming
- Classes, instances, constructors, attributes and methods
- Python's object model, special methods and protocols
- Properties, slots, abstract classes
- Inheritance and composition, polymorphism
- Meta programming
2
Design Patterns
- Iterator design pattern, iter() and next(), generators, generator expressions, generator functions, classes as iterators
- Decorator design pattern, functions as first class objects, monkey patching, enclosures, variadic function parameters, decorator factories, decorating a class
- Proxy pattern, lazy loading
- Factory pattern
- Template pattern
- Observer pattern
3
Automated Testing
- Python's unit test library, pytest
- Test coverage, mocking
- Test driven development (TDD)
- Testing with date and time
4
Logging, Debugging and Exceptions
- Simple to advanced logging, logging handlers, configuration
- Debugging tools and tips
- Raising and handling exceptions
5
Maintainable Code
- Coding standards, type hints, refactoring and linting
- Documentation
- Reproducible coding environments
6
Code Re-use
- Importing, standard library, Python Package Index (PyPI)
- Packaging your code, submitting a package to PyPI
7
Optimising
- Optimising steps
- Timing and profiling
- Optimising for CPU usage and for memory usage
- Threads versus processes
- Multi threading and multi processing
- Producer-consumer pattern
- Thread and process pools
- Asynchronous programming
8
Functional Programming and Python
- Pros, cons and alternatives
- Map, filter, reduce, lambda
- Other FP-related Python functions
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Python Programming Fundamentals
Start your Python journey with our 3-day beginner course at Future Savvy. Explore key programming concepts such as variables, control structures, collections, and functions. Through hands-on exercises, you’ll learn to write code, work with data, and solve practical problems, giving you the skills to confidently use Python in real-world situations.
Virtually Online Or On-Site
3 Days
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