Python |
fill_array_with_column_means.ipynb |
a colleague was using procedural programming style to fill an array containing some nulls with column means. I mocked up a quick demo on how the power and elegance of vectorised operations in numpy and pandas can make life much simpler! (Complete) |
Python |
generate random survey dataset.ipynb |
random data generator but the data adheres to specific distribution (Work in Progress) |
Python |
testing_interactive_dashboards_using_jupyter.ipynb |
testing out the use of ipywidgets, plotly and other tools to create interactive dashboards in jupyter |
Python |
emulating_countif_functionality_in_python.ipynb |
emulating Excel's countif functionality in python |
Python |
emulating_bining_functionality_in_python.ipynb |
binning dataframe in python |
Python |
load_database_values_and_passwords_as_environment_variables.ipynb |
while doing a project, load confidential login details as environment variables and dynamically access files by finding the root project directory. this is achieved by creating a project local environment file |
Python |
Test_logging_in_python.py |
implementation of logging in python using dynamic dot-env |
Python |
execute_sqlscript_sqlite3.py |
Runs SQL scripts against the sqlite database of your choice but reads no values back. You can use it for create, insert, update and delete statements |