added setup

docs/sessions/02-programming-setup.md

@@ -1,9 +1,95 @@
 # Programming Setup
 
-## Cursor
+## Required Software
 
+### 1. Cursor IDE
 Cursor is an AI-powered code editor that can help you write code faster and more efficiently. For more information and to install it, please visit the [Cursor website](https://www.cursor.com/).
 
-## Installing a Python Interpreter
+### 2. Python Environment
+We'll use Conda as our Python environment manager. It's available for Windows, macOS, and Linux.
 
-Besides the code editor, such as Cursor, you will need to install a Python interpreter, which will be used to run the code within the code editor.
+## Installing Conda
+
+Choose one of these distributions:
+- **Miniconda**: Lightweight version
+- **Anaconda**: Full package suite
+- **Miniforge**: Community-driven version
+
+### Windows Installation
+1. Download the installer from your chosen distribution
+2. Run the `.exe` file and follow the installation wizard
+3. Verify installation by opening Anaconda/Miniforge Prompt:
+   ```bash
+   conda list
+   ```
+
+### macOS Installation
+1. Download your chosen installer
+2. Open terminal and run:
+   ```bash
+   bash <conda-installer-name>-latest-MacOSX-x86_64.sh
+   ```
+3. Close and reopen terminal
+4. Verify installation:
+   ```bash
+   conda list
+   ```
+
+### Linux Installation
+1. Download Miniconda:
+   ```bash
+   wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh
+   ```
+2. Install:
+   ```bash
+   bash Miniconda3-latest-Linux-x86_64.sh
+   ```
+3. Restart terminal
+4. Verify installation:
+   ```bash
+   conda list
+   ```
+
+## Working with Conda Environments
+
+### Creating Environments
+Create a new environment with specific Python version and packages:
+```bash
+conda create -n my_project_env python=3.10 numpy pandas
+```
+
+### Managing Environments
+- **Activate** an environment:
+  ```bash
+  conda activate my_project_env
+  ```
+- **List** all environments:
+  ```bash
+  conda env list
+  # or
+  conda info --envs
+  ```
+- **Install** packages in active environment via `pip`:
+  ```bash
+  pip install scipy matplotlib
+  ```
+
+## IDE Setup
+
+### Setting Up Conda in Cursor/VSCode
+
+1. Activate your environment:
+   ```bash
+   conda activate my_project_env
+   ```
+
+2. Install Jupyter kernel:
+   ```bash
+   conda install ipykernel
+   ```
+
+3. Configure VSCode:
+   - Install Python extension from marketplace
+   - Press `Ctrl + Shift + P` (or `Cmd + Shift + P` on macOS)
+   - Search for "Select Python Interpreter"
+   - Choose your Conda environment