Hello World!
I am starting a new blog today. My goal with this new blog is to document my learning experiences as I explore the Data Science world. I will be periodically posting details of the problems I am trying to solve, technologies used, and datasets, along with associated results. This is purely for personal interest and development, however I hope to be able to eventually use this as a professional reference as a big-data enthusiast and an aspiring Business Analyst.
Tools I am starting off with:
Anaconda— contains everything a Data Scientist would need, but more robust than my needs for learning.
Miniconda — contains more specific tools and a much smaller footprint. I will be using this tool.
Conda — assistant with Miniconda that I will also be using.
** Note that I use the terms Anaconda and Miniconda interchangeably
To install data science tools (matplotlib, numpy, pandas, and scikit-learn) in the Anaconda promt enter: conda create — prefix ./env pandas numpy matplotlib scikit-learn
To activate conda environment and launch Jupyter Notebook from Anaconda prompt enter: conda activate c:\users\(user)\desktop\sample_project_1\env
Then enter: jupyter notebook
To shut down Conda from the Anaconda Prompt hit ctrl-c
Then to get to “base” enter: conda deactivate
Results: I have setup a project folder and installed the correct tools for future projects. These steps will be repeated when I want to access the environment and work on projects in the Jupyter Notebook. The next step will be sharing my Conda environment to simulate real world examples of project workflows.
