Scripting Language Programming

Module Code: COMP 20039
Academic Year: Spring 2024

Preparation For Python Virtual Environment and Packages Installation In VS Code

You can choose to install the packages in your global Python environment, or within a virtual environment. It is recommended to use a virtual environment to avoid conflicts with other projects.

1. Install Python3

If you don't have Python3 installed, please install it from the official website: Python3
You can also install Python3 using Homebrew:

 brew install python3

2. Install Jupyter Notebook

You can install Jupyter Notebook using pip:

 pip3 install jupyterlab

3. Install the Required Packages

You can install the required packages using pip:

 pip3 install numpy pandas

4. Create a Virtual Environment and Install the Packages

You can create a virtual environment and install the packages using the following commands:

 python3 -m venv {path_to_venv} # Create a virtual environment
 source {path_to_venv}/bin/activate # Activate the virtual environment
 pip3 install {package_name} # Install the package

Please replace {package_name} with the name of the package you're trying to install, and {path_to_venv} with the path where you want to create your virtual environment.

5. Install the Required Packages Using a Requirements File

You can also install the required packages using a requirements file. You can create a requirements file by running the following command:

 pip3 freeze > requirements.txt

You can then install the packages using the following command:

 pip3 install -r requirements.txt

6. Install Conda (Optional) >> Recommended -- My Workflow

You can install Conda by following the instructions on the official website: Conda Conda
You can also install Conda using Homebrew:

  brew install conda

You can also install Conda using pip:

  pip3 install conda

7. Create a Conda Environment and Install the Packages

You can create a Conda environment and install the packages using the following commands:

 conda create --name {env_name} python={version} # Create a Conda environment
 conda activate {env_name} # Activate the Conda environment
 conda install {package_name} # Install the package

Please replace {env_name} with the name of the Conda environment you're trying to create, {version} with the version of Python you want to use, and {package_name} with the name of the package you're trying to install.
- I've created a conda environment file called pyEnv which contains the required packages for this project.
- Installed the required packages using the following command:
Navigate to the directory where the your project is created and run the following commands:

  conda env create -n pyEnv  python
  conda activate pyEnv
  conda install numpy pandas jupyter

If you faced any issues with the above command, you can install the packages using the following command:

  conda install -c conda-forge numpy pandas jupyter

8. Install the Required Packages Using a Conda Environment File (Optional)

You can also install the required packages using a Conda environment file. You can create a Conda environment file by running the following command:

 conda env export > environment.yml

You can then install the packages using the following command:

 conda env create -f environment.yml

9. Create a new Jupyter Notebook in VS Code

You can create it by pressing Ctrl + Shift + P and typing Jupyter: Create New Blank Notebook and press Enter.

The above steps will help you set up a Python virtual environment and install the required packages in VS Code. You can then start writing your code in a Jupyter Notebook and run the code to see the output.

.gitignore

/pyEnv/bin* /pyEnv/etc* /pyEnv/include* /pyEnv/lib* /pyEnv/share*

Conda Documentation — conda 24.1.2 documentation. (n.d.). Retrieved from https://docs.conda.io/en/latest/

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