Python Programming Advanced Training Course
Python Programming Advanced
Take your Python programming abilities further with this intensive, advanced-level course. Ideal for those with strong Python experience, it focuses on robust coding techniques, automated testing, design patterns, and practical optimisation, helping you produce highly effective and maintainable Python applications.
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- 4 days
- Virtual or on-site
- Private team training
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Course overview
Take your Python expertise to new heights with our 4-day Python Programming Advanced course. This advanced-level course is designed for experienced Python users looking to deepen their understanding and sharpen their programming skills.
You will develop your capabilities in object-oriented programming, with a focus on classes, inheritance, polymorphism and meta-programming. Design patterns such as iterators, decorators, proxies, and factories feature strongly, helping you write reusable, flexible Python code.
Practical experience in automated testing using Python’s unit test tools and pytest will help you ensure your code remains robust and reliable. You’ll also refine your abilities in logging, debugging, and exception handling to keep your applications running smoothly.
Best practices for maintainable code are woven throughout the course, introducing coding standards, type hints, and reproducible environments alongside optimisation techniques such as multi-threading, multiprocessing, and asynchronous programming. You will also explore functional programming approaches to tackle problems from fresh perspectives.
By the end, you’ll be ready to solve complex programming challenges and build advanced Python applications that are efficient, maintainable, and scalable.
Who it's for
- Experienced Python developers
- Software engineers working with Python
- Technical leads seeking advanced programming skills
What you need before you start
- Strong Python programming experience
- Familiarity with object-oriented concepts
What you'll learn
What you will be able to do by the end of the course.
- Implement advanced object-oriented techniques in Python
- Apply design patterns for reusable, maintainable code
- Develop automated tests with Python’s unit test tools and pytest
- Debug, log, and handle exceptions in complex applications
- Write maintainable and well-documented Python code
- Optimise applications using multi-threading and multiprocessing
Course outline
8 modules across 4 days.
1Object Oriented Programming5 topics+
- Classes, instances, constructors, attributes and methods
- Python's object model, special methods and protocols
- Properties, slots, abstract classes
- Inheritance and composition, polymorphism
- Meta programming
2Design Patterns6 topics+
- 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
3Automated Testing4 topics+
- Python's unit test library, pytest
- Test coverage, mocking
- Test driven development (TDD)
- Testing with date and time
4Logging, Debugging and Exceptions3 topics+
- Simple to advanced logging, logging handlers, configuration
- Debugging tools and tips
- Raising and handling exceptions
5Maintainable Code3 topics+
- Coding standards, type hints, refactoring and linting
- Documentation
- Reproducible coding environments
6Code Re-use2 topics+
- Importing, standard library, Python Package Index (PyPI)
- Packaging your code, submitting a package to PyPI
7Optimising8 topics+
- 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
8Functional Programming and Python3 topics+
- Pros, cons and alternatives
- Map, filter, reduce, lambda
- Other FP-related Python functions
Get a quote
Run Python Programming Advanced for your team
Delivered for your organisation alone, on a date you choose, online or at your offices.
Or call 0333 305 8855
What happens next
- 1We reply with available dates and a price for your team
- 2You pick a date that suits your team — we work around you
- 3We tailor the examples and exercises to the work your team does
- 4We confirm the delivery details and next steps in writing
Booked with a 100% money-back guarantee
Every course we run is covered. Book with confidence — if it isn’t right, you aren’t left out of pocket.
Why Future Savvy
Practical training, backed properly
Rated 4.72/5
From 696 reviews by learners and clients.
Money-back guarantee
A 100% money-back guarantee, for peace of mind.
Up to six learners
Small enough that every delegate gets trainer time on their own work.
Trainers who do the job
Practitioners who use these tools on real work, not career instructors.
Support after the course
Email your trainer when you hit something back at your desk.
What delegates say
Independently verified reviews, alongside quotes collected from delegates after their course.
I had a good experience with this Microsoft Excel training course! Mark the trainer was exceptionally knowledgeable, patient, and engaging, taking the time to explain complex functions and formulas in a way that was easy to understand. The pace of the class was well-managed, and there was plenty of opportunity to ask questions without feeling rushed. I left the session feeling much more confident, efficient, and equipped with time-saving shortcuts. Highly recommended for anyone looking to upgrade their spreadsheet skills!
good value for money, I understood notions that were very not clear to me. Thanks to Mark.
Very good communication and an excellent tutor.
Very happy with Mark's training ethos and training he provided.
Excellent course and really well presented. Starting from basic knowledge the course guided you through step by step and was well paced for all.
Really enjoyed the course. Tutor was knowledgeable, friendly and gave real-world, practical advice to get the most out of the training.
The trainer was really friendly and positive, really clear, and made sure everyone was on the same page, and spent individual time focusing on each person to make sure they understood and were up to speed with the training.
Overall the course was excellent. The trainer delivered well, he was knowledgeable and concise.
Overall - Brilliant though, genuinely, the trainer was informative, talked at a steady pace
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Verified reviews are published on our Reviews.io profile, where anyone can read every one of them.
Frequently asked questions
Who should attend the Python Programming Advanced course?+
This course is ideal for experienced Python developers, software engineers, and technical leads who want to deepen their expertise in advanced coding techniques, design patterns, testing, and optimisation. If you already have strong Python skills and wish to write more maintainable, efficient, and robust code, this course is for you.
What prerequisites do I need for this course?+
Delegates should have significant experience programming in Python and a good grasp of object-oriented programming concepts. If you are comfortable writing Python code day-to-day but want to move beyond the basics, you'll get the most value from this course.
Does the course cover automated testing and debugging in Python?+
Yes, we provide hands-on training in automated testing using Python tools such as unittest and pytest, as well as guidance on debugging techniques, logging, and exception handling. You'll develop the skills needed to ensure your code is reliable and maintainable.
Will the course help me understand and apply design patterns in Python?+
Absolutely. The course explores key design patterns including iterator, decorator, proxy, factory, template, and observer patterns. You'll learn when and how to use these patterns to produce scalable and flexible Python applications.
Is there a focus on optimising code performance?+
We dedicate several modules to optimisation, including multi-threading, multiprocessing, asynchronous programming, timing, and memory profiling. You'll learn how to write Python code that is not only correct but also efficient and scalable for complex projects.
Will I receive practical guidance on code packaging and re-use?+
Yes, the course includes best practices for importing, structuring, and packaging your Python code, with a look at PyPI and submitting packages. You'll leave with practical strategies for reusable and shareable code.
Is the course delivered in-person or online?+
We offer flexible delivery options, including both in-person and virtual sessions. Please enquire for dates, locations, and delivery modes to suit your team's requirements.
Will I get a certificate upon completion?+
Yes, all delegates who successfully complete the course will receive a certificate of completion, recognising their advanced Python programming skills.
