Tools: Significance of Python Virtual Environment (venv)

** Without Virtual Environment** ## With Virtual Environment As Python developers, we often work on multiple projects at the same time. Each project may require different versions of Python libraries, frameworks, or tools. they become more challenging This is where the Python Virtual Environment (venv) plays a crucial role. 1.1 Why do we need virtual environment: All packages are installed globally Dependency version conflicts occur One project can break another Difficult debugging and maintenance Each project has its own dependencies Cleaner system Python 1.2 Significance of virtual Environment 1️⃣ Dependency Isolation Different projects often require different versions of the same package. 2️⃣ Prevents “It Works on My Machine” Issues 3️⃣ Keeps Global Python Clean 4️⃣ Essential for Automation & Selenium Projects 5️⃣ Supports Different Python Versions 6️⃣ Improves Team Collaboration etc.. Templates let you quickly answer FAQs or store snippets for re-use. Are you sure you want to hide this comment? It will become hidden in your post, but will still be visible via the comment's permalink. Hide child comments as well For further actions, you may consider blocking this person and/or reporting abuse