6 Essential Python Coding Habits Every Beginner Should Master

When you first become a Python developer, influences around you can shape both good and bad habits.

As mentioned earlier, "coding is an art form." We encourage flexibility and customizability—writing code the way you prefer within the language context.

The core issue is that you are communicating with a computer; you need to write code in a way others can understand.

Using incorrect syntax or failing to write effective code leads to programming errors. Messy code makes future debugging difficult, whereas readable, tidy code is paramount. Developing good coding habits early ensures they persist throughout your career.

Here are six tips for cultivating good coding habits when starting Python.

1. Follow the PEP 8 Style Guide

Just as writers follow style guides, Python developers follow PEP 8 (also written as PEP8 or PEP‑8), published in 2001 by senior Python developers to promote readable and consistent code.

Use clear code formatting.

Keep line length under 79 characters.

Use line breaks appropriately.

Separate functions, classes, and methods with double or single blank lines.

Apply proper naming conventions for variables, classes, functions, etc.

If you haven’t read it yet, go through the Python PEP 8 style guide and follow these tips.

2. Use the Latest Python Version

Languages like Python evolve over time; older versions are deprecated, and newer releases fix bugs and improve security and performance. Use Python 3 instead of Python 2, which reached end‑of‑life in January 2020, and always check the minimum required Python version for third‑party modules, frameworks, or repositories.

3. Always Comment Your Code

Comments explain what the code does, helping you and others understand it later. In Python, a single‑line comment starts with #, and multi‑line comments can be written using triple quotes ( ''').

# This is a regular comment.
'''
This is a multi-line comment.
To explain what the code is doing.
'''

Hand‑written notes digitized as comments can boost memory retention by up to 75 %.

Inline comments can also appear on the same line as code:

print("Hello World. This is my first code.")  # This is how you create an inline comment

4. Use a Linter

A Python linter checks spacing, line length, and design requirements, keeping code clean and consistent across files. Unlike auto‑formatters, linters fix actual problems, while formatters address style issues. Both are useful, and most modern tools combine both functions.

Popular Python linters include Pylint, Flake8, Ruff, Xenon, and Radon. The screenshot below shows Ruff installed via VSCode.

5. Rely on Built‑in Functions and Libraries

Python’s strength lies in its extensive standard library and built‑in functions, saving you from reinventing the wheel.

Examples of useful built‑in functions: append(): Add an item to a list. eval(): Evaluate a string as a Python expression. id(): Return the unique identifier of an object. max(): Return the largest item in an iterable. print(): Output text to the console. round(): Round a number to a given number of decimal places.

Typical usage: print("Hello world I am coding.") This prints: Hello world I am coding. Beyond built‑ins, Python offers a vast ecosystem of libraries (e.g., Requests, FastAPI, Asyncio, aiohttp, Tkinter) that can be imported as needed.

6. Fix Code Issues Promptly

When you spot a problem, fix it immediately instead of postponing. Delaying fixes can cause errors to accumulate, wasting 23‑42 % of developers’ time on poor code. IDEs and linters, along with the logging module, help identify and track issues in real time.

The logging module records events during execution, aiding debugging, error detection, and runtime behavior analysis, making it a valuable code‑audit tool.

Practice Makes Perfect

Regardless of skill level, adhering to Python best practices is essential. The best way to learn is through hands‑on practice—build small projects, apply the habits discussed, and read other developers’ code to see flexible approaches.