> For the complete documentation index, see [llms.txt](https://data-engineering-zoomcamp-2025-t.gitbook.io/tinker0425/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://data-engineering-zoomcamp-2025-t.gitbook.io/tinker0425/introduction/introduction-and-set-up/virtual-environments.md). # Virtual Environments My first error in the course was solved due to a virtual environment issue. So let's talk about setting up a virtual environment, specifically conda on a Mac. > I will add that it is my understanding that a new virtual environment is encouraged for each module - though there may be one module that does not need one? I will update this page once I know the answer! ### \[Optional] Brew install iterm2 It was recommended to me to use iterm2 1. Do you have homebrew installed? 1. Open a terminal window and type ```bash brew ``` b. If yes, continue. If no, installl homebrew - details 2. brew install iterm2 ### Conda 1. You may need to install [Anaconda](https://docs.anaconda.com/anaconda/install/), so head over to the site if you do not have the application. 2. Open iterm2 *(a terminal window)* and type ```bash python -V ``` *This will show your python version for your awareness* 3. Now the fun part, create an environment! Remember, we will want a different environment for each project. I am using python version 3.12, so the command is ```bash conda create -n myenvname python=3.12 ``` 4. Now we want to add our packages that are **not** included in the standard library, such as pandas. To do that, we need to `activate` the environment and then `pip install` what we need. ```bash conda activate myenvname ``` In your terminal, your myenvname of choice should now show at the far left of your command promt in parentheses like *(myenvname) Kaylas-MacBook-Air:data-engineering-zoomcamp-my-work kayla$* ```bash pip install pandas sqlalchemy psycopg2-binary jupyterlab ``` In the future, to use these packages, we ***import*** them into our python scripts. For example, for pandas we would write `import pandas as pd` at the top of our python script.
Briefly discussed w/ course instructur but not used 1. UV - 2.
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