Research Jupyter notebook

[ladalar]

Research configuration and use of Jupyter notebook. Write your suggestions for next steps and finding in Discussions.

[riteshchowdary9999]

ok i will do that

[AneelaKommuri]

I will do it

[riteshchowdary9999]

Ok

On Tue, Sep 17, 2024 at 21:01 AneelaKommuri @.***> wrote:

I will do it

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[riteshchowdary9999]

Configuration of Jupyter Notebook with Mamba Install Mamba:

If you haven’t already, install Mamba. You can do this in an existing Anaconda environment: Copy code conda install mamba -n base -c conda-forge Create a New Environment:

Use Mamba to create a new environment: Copy code mamba create -n myenv python=3.9 Replace myenv with your desired environment name and specify the Python version as needed. Activate the Environment:

Activate the environment you just created: Copy code conda activate myenv Install Jupyter Notebook:

Install Jupyter Notebook using Mamba: Copy code mamba install notebook Install Additional Libraries:

If your project requires specific libraries (like Pandas, NumPy, etc.), install them as well: Copy code mamba install pandas numpy matplotlib Launch Jupyter Notebook:

Start the Jupyter Notebook server: Copy code

jupyter notebook Using Jupyter Notebook with Mamba Creating and Managing Notebooks:

Follow the same basic operations as with Anaconda (creating cells, running code, etc.) Using Kernels:

Ensure your new environment is recognized as a Jupyter kernel. If not, you can add it using: Copy code python -m ipykernel install --user --name=myenv Data Science Libraries:

Utilize libraries installed in your environment for data analysis and visualization as you would normally. Next Steps Explore Mamba Features:

Familiarize yourself with Mamba commands to optimize package management and speed. Environment Management:

Consider creating separate environments for different projects to avoid dependency conflicts. Documentation:

Maintain good documentation practices within your notebooks for clarity and collaboration. Engaging in Discussions Mamba Community: Participate in discussions or forums specifically focused on Mamba to share experiences or ask questions. Data Science Communities: Join groups that focus on Jupyter Notebooks and data science, as these often discuss various package management tools. Workshops: Look for workshops that focus on using Mamba with Jupyter for hands-on experience.