Python How-To 63 techniques to improve your Python code (Final Release) (Yong Cui)（Z-Library）

【One-Line Pitch】 A practical, technique-driven guide to writing clearer and more maintainable Python, organized as 63 self-contained "how do I…?" answers you can dip into on demand. Best for beginner-to-intermediate developers who already know some Python and want to level up their everyday code. 【Book Arc】 - **Opening (~0%–10%)**: Frames the whole book around a maintainability mindset—naming, avoiding duplication (DRY), cleaning up stale comments, and using version control—before any syntax. - **Early (~10%–32%)**: Part 1 on built-in data models: strings and formatting, safe use of eval/exec, regular expressions (including raw strings), and choosing between lists, tuples, dictionaries, and sets. - **Middle (~32%–48%)**: Deeper container and sequence work—sorting complex data with custom functions, accessing dict keys/values/items, hashing, set operations, and slicing/slice surgery on mutable sequences. - **Late (~48%–70%)**: Functions in depth—return values, type hints, *args/**kwargs, docstrings, lambdas, functions as objects, and decorators for measuring performance. - **Ending (~70%–100%)**: The excerpts do not cover this range; based on the table of contents, later material moves into object-oriented and beyond-the-basics topics, but specifics are not shown here. 【Key Takeaways】 - **Maintainability is a mindset, not a cleanup phase** (Opening): naming, DRY refactoring, and version control pay off long after the script "works." - **Format strings are a first-class tool** (Early): f-strings with nested format specifiers let you parameterize output cleanly instead of hardcoding layouts. - **eval and exec are dangerous by default** (Early): they can crash or destroy data; prefer `ast.literal_eval` or manual parsing when handling untrusted strings. - **Raw strings tame regex backslash chaos** (Early): `r"\\task"` is far more readable than quadruple-escaped literals, and this matters as patterns grow. - **Choose containers by mutability and semantics** (Middle): lists for homogeneous mutable sequences, tuples for distinct fixed records, dicts/sets when you need hashing and fast membership. - **Sorting complex data needs a key function** (Middle): `list.sort()` fails on dicts; custom functions unlock meaningful orderings. - **Slicing is more than reading** (Middle): slice surgery on mutable sequences supports replacement, extension, shrinkage, and removal. - **Functions are objects with rich contracts** (Late): type hints, docstrings, lambdas, higher-order functions, and decorators all shape how readable and reusable your functions are. 【Reading Tips】 - Treat it as a reference: jump to the technique you need rather than reading linearly, since each chapter stands alone. - Deep-read the maintainability framing in the opening—it colors every later technique. - Slow down on regex escaping and eval/exec safety; these are the highest-risk spots for subtle bugs. - Work the "Challenge" exercises at the end of sections; they force you to apply the technique rather than just recognize it. - Skim code listings you already understand and focus on the "Discussion" notes, which carry the design rationale. 【Coverage Limits】 This guide is based on stratified excerpts covering roughly the first half of the book (through functions); later chapters on object-oriented programming and advanced topics are not represented, so claims about the ending are inferred only from the table of contents.