Advanced Python
Instructor-led training in Advanced Python. Delivered live online by senior practitioners, with hands-on labs and a final assessment. Includes an Skilvi course-completion certificate.
Overview
This Advanced Python course delves into sophisticated programming techniques, performance optimization, and design patterns, empowering experienced developers to build highly efficient and scalable applications. Participants will master advanced language features and best practices essential for tackling complex software challenges and contributing to enterprise-level projects.
What you'll learn
- Implement advanced object-oriented programming concepts and design patterns effectively.
- Develop concurrent and parallel applications using threads, processes, and asynchronous programming.
- Optimize Python code for performance using profiling tools and efficient data structures.
- Utilize decorators, generators, context managers, and metaclasses for powerful and flexible code.
- Perform advanced file I/O operations, serialization, and network programming.
- Apply best practices for testing, debugging, and packaging Python applications.
- Understand and leverage Python's introspection capabilities for dynamic code.
- Design and build robust, maintainable, and scalable Python solutions.
Curriculum
6 modules · outline is indicative and can be tailored to your team.
1Advanced OOP and Design Patterns
- Inheritance, Polymorphism, and Abstract Base Classes
- Encapsulation and Data Hiding
- Class vs. Instance Attributes and Methods
- Introduction to Design Patterns (Singleton, Factory, Observer)
- Implementing Custom Iterators and Generators
- Context Managers and the 'with' statement
2Concurrency and Parallelism
- Threads and Multithreading
- Processes and Multiprocessing
- Inter-process Communication (IPC)
- Asynchronous Programming with asyncio
- Futures and Event Loops
- Synchronization Primitives (Locks, Semaphores)
3Metaclasses and Introspection
- Dynamic Class Creation with type()
- Understanding Metaclasses
- Creating Custom Metaclasses
- Class Decorators vs. Metaclasses
- Runtime Introspection Techniques
- Attribute Access and Descriptors
4Optimizing Python Code
- Profiling Python Code (cProfile, timeit)
- Memory Management and Garbage Collection
- Efficient Data Structures and Algorithms
- Using C Extensions (brief overview)
- JIT Compilers (e.g., Numba, PyPy concepts)
- Generator Expressions vs. List Comprehensions
5Advanced File I/O and Networking
- Working with Binary Files
- Memory-Mapped Files
- Serialization (Pickle, JSON, YAML)
- Network Programming with Sockets
- Building Client-Server Applications
- HTTP Clients and Servers
6Testing, Debugging, and Packaging
- Unit Testing with unittest and pytest
- Mocking and Patching
- Debugging Techniques and Tools
- Logging Best Practices
- Creating Python Packages
- Dependency Management
Prerequisites
Participants should have solid foundational knowledge and practical experience with Python programming, including familiarity with basic data types, control flow, functions, and object-oriented concepts.
Who should attend
This course is ideal for experienced Python developers, software engineers, and data scientists looking to deepen their expertise and build more sophisticated applications.
Certification
Frequently asked questions
What is the delivery format for this course?
This is an instructor-led, live-online course, providing real-time interaction with the instructor and fellow learners.
What is the typical duration of this course?
The course typically runs for 3 to 5 full days, or an equivalent number of half-day sessions, depending on the schedule.
Will I receive a certificate upon completion?
Yes, upon successful completion of the course, you will receive an Skilvi course-completion certificate.
Are there any official exams associated with this course?
While there isn't a specific official certification exam directly tied to this Skilvi course, the skills learned are highly valuable for various industry certifications.
Are exam vouchers included with the course?
Exam vouchers for official vendor certifications are not included with the course fee but are available through authorized channels on request.
What are the prerequisites for attending this Advanced Python course?
Attendees should have a strong understanding of Python fundamentals, including object-oriented programming principles, basic data structures, and control flow.
Pricing on request
- Live online (VILT)
- 32–40 hours
- Hands-on labs & assignments
- Skilvi completion certificate
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