Pythonic Programming Tips for Software Engineers

Module 1: Writing Cleaner Python

⏳ 1 hour

• Topics: Code readability, the Zen of Python, naming conventions.

• Hands-on: Refactor messy code to adhere to PEP 8 and idiomatic patterns.

Module 2: Data Structure Mastery

⏳ 1.5 hours

• Topics: Lists vs. tuples vs. sets vs. dicts, when to use which.

• Hands-on: Solve real-world problems using the optimal built-in structure.

Module 3: Comprehensions & Generators

⏳ 1.5 hours

• Topics: List/dict/set comprehensions, generator expressions, lazy evaluation.

• Hands-on: Rewrite loops as comprehensions and implement a custom generator.

Module 4: Context Managers & Resource Handling

⏳ 1 hour

• Topics: with statement, writing custom context managers, contextlib.

• Hands-on: Build a context manager for timing code blocks.

Module 5: Advanced Functions & Decorators

⏳ 2 hours

• Topics: Argument unpacking, *args/**kwargs, closures, higher-order functions, functools.wraps.

• Hands-on: Create decorators for caching and input validation.

Module 6: Standard Library Gems

⏳ 1.5 hours

• Topics: itertools, collections (Counter, defaultdict, namedtuple), operator, pathlib.

• Hands-on: Use itertools to produce combinatorial results and collections for counting tasks.

Module 7: Error Handling & Logging

⏳ 1 hour

• Topics: Exceptions vs. errors, custom exception classes, logging module basics.

• Hands-on: Implement structured logging and custom error hierarchy for a sample app.

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