Day 1
Python Refresher
The course begins with a review of essential Python concepts.
Topics include:
- Built-in data types
- Lists
- Tuples
- Dictionaries
- Sets
- Program structure
- Files
- Console I/O
- If statements
- For loops
- While loops
Data Structures and Algorithms
This section introduces common computer science data structures and algorithms in a Python context.
Topics include:
- Linked Lists
- Stacks
- Queues
- Trees
- Graphs
- Sorting Algorithms
Participants review how these structures work and how they can be implemented using Python.
Day 2
Errors and Exception Handling
This module focuses on building more reliable applications through structured error handling.
Topics include:
- Syntax errors
- Exceptions
- try / except / else / finally
- Handling multiple exceptions
- Ignoring selected exceptions
- Designing predictable error-handling behaviour
Implementing Regular Expressions
Participants learn how to perform advanced text searching and manipulation using Python regular expressions.
Topics include:
- RE Objects
- Searching
- Matching
- Searching datasets with regular expressions
- Searching Wireshark trace data
- Working with Python and
.pcap files - Compilation flags
- Groups
- Special groups
- Replacing text
- Splitting strings
Advanced Functional Features of Python
This section explores advanced functional programming techniques.
Topics include:
- Advanced unpacking
- List Comprehensions
- Anonymous functions
- Lambda expressions
- Generator Expressions
- Decorators
- Closures
- Single dispatch
- Multi dispatch
- Relative imports
- Effective use of
__init__ - Documentation best practices
Day 3
Metaprogramming
This section examines Python's dynamic programming capabilities.
Topics include:
- OOP conventions
- Class data
- Static data
- Class methods
- Static methods
- Creating classes from dictionary-based information
- The
super() method - Metaclasses
- Abstract Base Classes
- Implementing protocols through special methods
- Context protocols
- Iterator protocols
- Implicit properties
globals()locals()- Working with object attributes
- The
inspect module - Callable classes
- Monkey patching
Advanced File Handling
Participants learn more sophisticated approaches to working with the file system.
Topics include:
- Paths
- Directories
- Filenames
- Checking for existence
- Permissions
- File attributes
- Walking directory trees
- Creating filters with
fileinput - Using
shutil - Advanced file operations
Day 4
Advanced Data Structure Features in Python
This module focuses on advanced collection types and persistence.
Topics include:
- defaultdict
- Counter
- namedtuple
- Data Classes
- pickle
- Pretty printing
- Compressed archives
- ZIP
- GZIP
- TAR
- Persistent data
Multiprogramming and Concurrency
Participants explore different concurrency models available in Python.
Topics include:
- Concurrent programming
- Multithreading
- The
threading module - Sharing variables
- The
queue module - The
multiprocessing module - Creating process pools
- Coroutines
- Asynchronous programming
Python Design Patterns
This section examines reusable software design approaches.
Topics include:
- Why design patterns are useful
- Types of design patterns
- Creational patterns
- Structural patterns
- Behavioral patterns
- Best coding practices
Day 5
Developer Tools
This section focuses on tools used in professional Python development.
Topics include:
- Analysing programs with pylint
- Using the debugger
- Profiling code
- Benchmarking
- Measuring execution speed
Unit Testing with PyTest
Participants learn how to write and run automated tests for Python applications.
Topics include:
- What is a unit test?
- Testing with the unit-test framework
- Testing with PyTest
- Testing with doctest
- Writing tests
- Working with fixtures
- Test runners
- Mocking resources
- Testing realistic application behaviour
Practical Application Projects
The final part of the programme gives learners the opportunity to apply the techniques covered during the course.
Command-Line Minesweeper
Build a command-line version of the classic Minesweeper game.
Automated File Renaming
Create a Python application that scans a folder and renames files according to rules defined in the code.
Binary Search
Implement the binary search algorithm and examine its behaviour.
Random Password Generator
Build a Python application that generates random passwords based on selected criteria.
Countdown Timer
Create a countdown timer using Python's time module.
