Uninstall any existing Anaconda and Python packages.

Download Anaconda from Anaconda site

Choose Administrative if you have Administrative Privileges (this puts Anaconda in a more natural folder)

Once downloaded (takes a while) have it installed (takes a while).

Start Anaconda

It may ask you to update to a newer version.

What is Anaconda? Anaconda is a front-end to python. It is software to install and manage Python, Python packages, and other programming languages (such as R). It can be used to run a Python program.

https://docs.anaconda.com/anaconda/

PYTHON PACKAGES – NumPy, pandas, SciPy, matplotlib, statsmodels, scikit-learn (Sklearn)

Python is a programming language. Basic Python is not set up for data analysis. For example, It does not even support arrays.

Instead one uses Python packages. Anaconda loads in several hundred Python packages.

For a list see https://docs.anaconda.com/anaconda/packages/pkg-docs/

Key data analysis packages for data analysis that are downloaded by Anaconda are the following.

   - NumPy. Short for numbers in Python. Array data types needed for statistics and data analysis.

   - pandas. Name derived from panel data. R type data frames and data analysis tools.
   - matplotlib. Static and dynamic data visualizations.
   - SciPy. Scientific library (optimization, integration, eigenvalue problems, random number generators, ...)
   - statsmodels. Statistics using pandas dataframes (computations and models including standard regression models).
   - scikit-learn (Sklearn). Machine learning and data mining using NumPy arrays.
   - TensorFlow. Deep learning such as neural networks.
Commands for many of these modules have similar format to R commands.

ANACONDA NAVIGATOR FOR PACKAGES

In order to run, many scientific packages depend on specific versions of other packages. Data scientists often use multiple versions of many packages and use multiple environments to separate these different versions.
The command-line interface program conda is both a package manager and an environment manager. This helps data scientists ensure that each version of each package has all the dependencies it requires and works correctly. Examples: conda remove pandas   conda install pandas  conda update pandas
Navigator is a graphical interface that enables you work with packages and environments without needing to type conda commands in a terminal window. You can use it to find the packages you want, install them in an environment, run the packages, and update them – all inside Navigator. https://docs.anaconda.com/navigator/

RUNNING CODE WITH ANACONDA NAVIGATOR

There are several ways.
Spyder is a GUI or IDE interface.  From the Navigator Home page, click the Spyder tile, and use the Spyder interface that opens to write and execute your code.
You can also use Jupyter Notebook the same way. Jupyter Notebook is an increasingly popular system that combines your code, descriptive text, output, images, and interactive interfaces into a single notebook file that is edited, viewed, and used in a web browser.  https://docs.anaconda.com/navigator/

CREATING AND CHANGING ENVIRONMENTS WITH ANACONDA NAVIGATOR