Python Q & A


How to start a new Python project?

Starting a new Python project is an organized process that helps in building and maintaining a sustainable codebase.

  1. Create a New Directory: Begin by creating a dedicated directory for your project. This ensures all your project-related files and dependencies are in one place. For instance: 


mkdir my_python_project
cd my_python_project


  1. Virtual Environment: Before installing any packages, it’s a best practice to set up a virtual environment. This isolates your project’s dependencies from system-wide Python installations. Use the `venv` module (included in the standard library since Python 3.3) to create one:



python3 -m venv venv_name



To activate the virtual environment:

– On Windows: `venv_name\Scripts\activate`

– On macOS and Linux: `source venv_name/bin/activate`


  1. Initialize a Git Repository: To manage version control, initialize a git repository:



git init



Also, create a `.gitignore` file to exclude specific files or directories (like your virtual environment) from version tracking.


  1. Dependencies Management: If you anticipate using third-party libraries, you’ll need to manage these dependencies. After installing any package via `pip`, always freeze the project’s dependencies into a `requirements.txt` file:



pip freeze > requirements.txt



This makes it easier for others (or you, in the future) to install the correct versions of required libraries.


  1. Structuring the Project: Start with a basic structure. For instance:

– ``: Entry point of your application.

– `/modules`: Directory containing various Python modules.

– `/tests`: For any test scripts or unit tests.


  1. Documentation: Always document your code, ideally in the form of docstrings and comments. Consider setting up tools like Sphinx for generating detailed documentation.
  2. ReadMe: Include a `` file detailing the purpose of your project, how to set it up, and how to use it. It serves as a brief guide for anyone encountering your project.

Starting a new Python project is not just about writing code. It’s about creating a maintainable, scalable, and understandable codebase that caters to the project’s needs and future growth.

Previously at
Flag Argentina
time icon
Senior Software Engineer with 7+ yrs Python experience. Improved Kafka-S3 ingestion, GCP Pub/Sub metrics. Proficient in Flask, FastAPI, AWS, GCP, Kafka, Git