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Typing in Python — Special Characters Coders Need Fast

Typing in Python — Special Characters Coders Need Fast

· 2 min read · by Robin Érsek-Obádovics

Python's syntax is uniquely typing-friendly: minimal punctuation, readable English-like keywords, but specific quirks every Python coder types thousands of times daily. Master these patterns and Python flow improves dramatically.

Python-specific character distribution

  • : colons — every if/for/while/def/class line
  • Indentation — 4 spaces (Tab → 4 spaces in good editors)
  • snake_case — variable_names, function_names, module_names
  • _ underscore — common in identifiers
  • __dunder____init__, __name__, __main__
  • f-strings: f"{variable}"
  • List/dict comprehensions: [x for x in items if cond]

Most-typed Python keywords

  • def, class, return, if, else, elif, for, while
  • import, from, as
  • try, except, finally, raise
  • with, lambda, yield, async, await
  • True, False, None

All short. Touch typing makes them effortless.

Common Python typing patterns

Function definitions

def function_name(arg1: type, arg2: type = default) -> ReturnType:

Touch typing the type hints distinguishes pros from beginners.

List comprehensions

[x * 2 for x in numbers if x > 0]

Bracket + word + word + word + colon + condition. Practice the flow.

F-strings

f"Hello, {name}, you are {age} years old"

Practice {} interpolation rhythm.

Decorators

@property, @staticmethod, @classmethod, @app.route('/path')

The @ symbol is easy to hunt for without practice.

Dict literals

{"key": "value", "key2": value2}

Curly braces + colons + commas. Common pattern.

Speed tools for Python

  • Black (formatter) — auto-formats, less manual care needed
  • PEP 8 compliance via tools
  • VS Code + Pylance — auto-complete saves typing
  • PyCharm — inspections + refactoring
  • Jupyter — interactive coding (less syntax burden)

Snippets to set up

VS Code snippets that pay off:

  • if __name__ == "__main__": block
  • try/except skeleton
  • def function(): docstring + body
  • class ClassName: __init__ method

10 minutes setting up snippets = hours saved.

Realistic Python typing speeds

  • 40 WPM: workable Python (lots of think time anyway)
  • 60 WPM: comfortable pace
  • 80+ WPM: senior Python developers
  • 100+ WPM: rare, often unnecessary

Code quality > code speed. But friction-free typing helps thinking.

Frequently Asked Questions

Should I switch to Colemak for Python?

Not worth the cost for most. Python doesn't favor any specific layout.

How fast do top Python developers type?

Most: 70-90 WPM. Speed less important than design thinking.

What's the most-typed Python character?

Colon : and space. Master both.

Should I use auto-formatters?

YES — Black, isort, ruff. Stop typing whitespace manually.

Best Python IDE for fast typing?

VS Code + Pylance + Black, or PyCharm. Either is excellent.

Are tabs or spaces faster to type?

Tabs (1 keystroke vs 4). But PEP 8 says spaces. Use editor's tab-to-spaces conversion.

Build Python typing flow

Typing Hero App — free, no signup. Get to 60 WPM baseline, then practice Python-specific text.

For more: How to type code faster, Touch typing for programmers, How to master programming symbols.