Update readme.md

Signed-off-by: ҉αkα x⠠⠵ <[email protected]>

Python/Anaconda/readme.md

@@ -6,12 +6,12 @@
 
 # Optimize Your Conda Environment | Using Python 3.13 (in 10 Steps)
 
-1. **Remember to adjust environment names and commands as needed for your specific setup.**
+**Remember to adjust environment names and commands as needed for your specific setup.**
 
    In the next step You can use the "classic" solver or "libmamba." This is a good approach because sometimes "libmamba" might have compatibility issues or might not be the best choice for all situations.
    Using "classic" may provides a more reliable fallback option.
 
-2. **Configure Solver & Update Base:** Set the solver to "classic" (in case "libmamba" has issues), then update Conda and all packages in the base environment (including from "conda-forge").
+1. **Configure Solver & Update Base:** Set the solver to "classic" (in case "libmamba" has issues), then update Conda and all packages in the base environment (including from "conda-forge").
 
    ```bash
    conda config --show solver; conda config --set solver classic; conda update -n base -c conda-forge conda; conda config --add channels conda-forge; conda update --all -n base; conda upgrade --all
@@ -23,25 +23,25 @@
    conda config --show solver; conda config --set solver libmamba; conda update -n base -c conda-forge conda; conda config --add channels conda-forge; conda update --all -n base; conda upgrade --all
    ```
 
-3. **Create & Update New Environment:** Create a new environment named "x" with Python 3.13, then update it to match your base environment (using an exported environment file if needed).
+2. **Create & Update New Environment:** Create a new environment named "x" with Python 3.13, then update it to match your base environment (using an exported environment file if needed).
 
    ```bash
    conda create -n x python=3.13; conda activate x; conda env export > environment.yml; conda env update -n x -f environment.yml
    ```
 
-4. **Fully Update All Environments:** Ensure Conda, all packages, and any outdated components are updated in both the "base" and "x" environments.
+3. **Fully Update All Environments:** Ensure Conda, all packages, and any outdated components are updated in both the "base" and "x" environments.
 
    ```bash
    conda update -n base -c conda-forge conda; conda update --all -n base; conda upgrade --all; conda update -n x -c conda-forge conda; conda update --all -n x; conda upgrade --all
    ```
 
-5. **Install Specific Conda Version (Optional):** If you need a specific Conda version, install it in both environments.
+4. **Install Specific Conda Version (Optional):** If you need a specific Conda version, install it in both environments.
 
    ```bash
    conda install -n base conda=24.11.0; conda install -n x conda=24.11.0
    ```
 
-6. **Upgrade Pip:** Upgrade the Pip package manager and all installed Pip packages.
+5. **Upgrade Pip:** Upgrade the Pip package manager and all installed Pip packages.
 
    ## macOS + Linux
 
@@ -55,23 +55,27 @@
    python -m ensurepip --upgrade; pip list --format=freeze | ForEach-Object {$_.Split('==')[0]} | ForEach-Object {pip install -U $_}
    ```
 
-7. **Install Anaconda Client:** Install the client for interacting with Anaconda Cloud.
+6. **Install Anaconda Client:** Install the client for interacting with Anaconda Cloud.
 
    ```bash
    conda install anaconda-client
    ```
 
-8. **Log in to Anaconda Cloud (Optional):**
+7. **Log in to Anaconda Cloud (Optional):**
    ```bash
    anaconda login
    ```
 
 # Resources
 
-9. **Conda GitHub repository:**
+8. **Conda GitHub repository:**
 
    [conda](https://github.com/conda/conda)
 
-10. **Conda cheat sheet:**
+9. **Conda cheat sheet:**
 
-[Conda Cheatsheet](https://docs.conda.io/projects/conda/en/latest/_downloads/843d9e0198f2a193a3484886fa28163c/conda-cheatsheet.pdf)
+   [Conda Cheatsheet](https://docs.conda.io/projects/conda/en/latest/_downloads/843d9e0198f2a193a3484886fa28163c/conda-cheatsheet.pdf)
+
+10. **Code Online:**
+
+    Now featuring new AI-powered code generation, insights, and debugging! [JupyterLab](https://nb.anaconda.cloud)