Install Pipenv & Create Virtual Environment | Python Setup the Right Way (2025)

Описание: Hey everyone! 👋 Welcome back to Real World Development — your destination for practical, real-world coding tutorials that go far beyond theory. I’m Muhammad Qasim, a software engineer passionate about building robust backend systems with Python, FastAPI, Flask, Django, and scalable frontends using React, PrimeReact, and more. In today’s video, we’re diving deep into Pipenv, Python’s powerful tool for managing virtual environments and project dependencies. Whether you’re a beginner who’s never used a virtual environment before or an experienced developer looking to enhance your workflow, this full Pipenv tutorial takes you from basic to expert level.

We’ll begin by understanding why virtual environments are essential for Python development. Without isolation, projects can break due to dependency conflicts or outdated packages. Pipenv solves these problems by automatically creating a virtual environment and managing your dependencies cleanly with a Pipfile and Pipfile.lock. No more requirements.txt headaches—Pipenv simplifies everything with a modern approach that combines the best of pip and virtualenv in one streamlined tool.

You’ll learn how to install Pipenv on Windows, macOS, and Linux, and how to initialize a new Python project the professional way. I’ll walk you through creating a virtual environment, installing and uninstalling packages, managing development-only dependencies, running scripts inside the environment, and using the integrated shell. We’ll also explore how to lock your dependencies and understand the structure of Pipfile and Pipfile.lock, ensuring consistent builds across teams and environments.

But that’s just the beginning. This video goes beyond the basics to cover advanced Pipenv features like support for .env files to manage secrets securely, automatic Python version selection, working with pyenv, generating a full dependency graph, and auditing your environment for known security vulnerabilities using pipenv check. You’ll also learn how to troubleshoot common Pipenv errors and follow best practices for clean, maintainable development.
If you're wondering how Pipenv compares to alternatives like Poetry, venv, or Conda, I’ve included clear comparisons with pros and cons so you can choose the best tool for your needs. And if you're working in a team, using CI/CD pipelines, or deploying apps to production, you’ll appreciate Pipenv's ability to create reproducible environments and maintain stability across platforms.

Throughout this tutorial, I share real-world workflows I use in professional projects, including Python backend APIs, microservices, and deployment environments. You’ll see how Pipenv fits into modern development stacks, including FastAPI, Flask, Django, PostgreSQL, MongoDB, and Docker-based deployments.

By the end of this video, you'll be fully equipped to manage Python environments using Pipenv from scratch. Whether you’re launching a new project, contributing to open-source, or building scalable production systems, Pipenv will help you keep your dependencies organized and your environments clean.

If you find this video helpful, please give it a thumbs up 👍, drop your questions in the comments 💬, and don’t forget to subscribe to Real World Development for more real-world coding tutorials and deep-dive explanations that help you grow as a developer.


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🧰 *Commands used:*
```bash
pip install pipenv
pipenv shell
pipenv run pip install fastapi/requirements.txt