Python/Jupyter/Binder developer 2

I need 6 to 10 Jupyter/Python notebooks created that will run on a Binder server from a repository on GitHub using time series data. The notebooks will load time series data from a web API and display analytic analysis in the notebooks and will use Pandas and Matplotlib. I have created a sample notebook that demonstrates the loading of data from the API and will be used as the basis of all new notebooks. The sample loads two TS data series into Pandas and creates daily and monthly frequency charts. I want 6-10 similar new Python notebooks showing easy to advanced analytics based on the sample notebook. Please note that users can change the datasets and frequency of the datasets that are used so the notebook comments must help the user to understand the result - regardless of the datasets used. All notebooks must be made to work on Binder from our GitHub repository ( as our demo notebook does) These notebooks are to be an introduction to the API AND to demonstrate how easy it is to use. This means that each section in the report must have a comment section to explain in English what is happening, why we are doing it and, if analytical, what the ideal output range is and what a result outside these ranges means statistically. You MUST be familiar with Python 3.X and Jupyter AND Binder. Please state your experience with Binder, Jupyter and if any with "R" and Julia Please also supply a list of 6-10 report types that you feel we should create as training reports. Something like: 001 Load and chart 1 data series 002 Load and chart 2 data series in Pandas with daily and Monthly charts 003 Two data series with Moving Averages (MA), RSI and MACD 004 Seasonal Arima 005 Auto-correlation and Partial Auto-correlation 006 Detailed Time Series Analysis 1 series 007 Detailed Time Series Comparison/Analysis 2 series 008 Determine if multiple input series affect one series 009 Determine if multiple series affect each other 010 Machine Learning = Tensorflow ??? So the project is to create the analytic notebooks with detailed comments in each section and assist getting them running on the Binder server page/