How do you write code for programming ?
Tạo vào: 10 tháng 6, 2025
Tạo vào: 10 tháng 6, 2025
How do you write code for programming ?
Writing code is really just a disciplined way of turning an idea → a set of instructions → a working, maintainable program. A reliable routine looks something like this:
Stage | What You Actually Do | Why It Matters |
---|---|---|
1. Clarify the problem | Talk through requirements, sketch inputs/outputs, list edge-cases. | Saves you from “building the wrong thing.” |
2. Design a solution | Draft algorithms, data structures, or an architecture diagram. Write short pseudocode or a sequence diagram. | Gives you a roadmap before you touch the keyboard. |
3. Set up your environment | Pick a language + tooling, create a new repo, configure a linter/formatter, install dependencies. | Fast feedback loops and consistent style from day 1. |
4. Write tests first (or at least alongside) | Start with the simplest unit tests that capture core behavior. | Makes requirements executable; lets you refactor fearlessly. |
5. Code iteratively in small slices | Implement one tiny feature, run the tests, commit, repeat. | Easier to debug, easier to review. |
6. Use version control wisely | Branch per feature, commit often with clear messages. Push early, open a draft PR. | Enables collaboration and rollback safety. |
7. Run automated checks | Linter, static analysis (e.g., mypy , eslint ), and your test suite in CI. | Catches issues before they reach production. |
8. Refactor and document | Rename for clarity, extract helper functions, update README / docstrings. | Keeps long-term maintenance cost low. |
9. Get a code review | Ask a teammate (or rubber-duck with yourself) for feedback. | Surfaces bugs and spreads knowledge. |
10. Deploy & monitor | Package, release, set up logging/metrics, respond to runtime issues. | Turns code into real value and ensures it keeps working. |
pythonfrom typing import List def median(nums: List[float]) -> float: """Return the median of a non-empty list of numbers.""" if not nums: raise ValueError("nums must be non-empty") nums_sorted = sorted(nums) n = len(nums_sorted) mid = n // 2 if n % 2: # odd length return nums_sorted[mid] else: # even length return (nums_sorted[mid - 1] + nums_sorted[mid]) / 2
Tests first
pythonimport pytest def test_median_even(): assert median([2, 4, 1, 3]) == 2.5 def test_median_odd(): assert median([3, 1, 2]) == 2
Run linting (ruff
, black
) and type-checking (mypy
) on save.
Commit with message “feat(stats): implement median with tests”.
Open PR, request review, fix any comments, merge.
Next step? Let me know what you’re trying to build (a script, web API, game, etc.) and the language you prefer, and I can walk you through a concrete starter template or help design the architecture!