This repository contains basic Python operations as mentioned in more detail below.
The resources folder contains an Ontology folder which expands to introductory notebooks into using Ontologies and RDF.
This notebook introduces the concept of Ontologies and their intended use.
This notebook provides examples of how to use RDF with Python.
This folder contains a Files folder which stores the resources used by the Files notebook. It also contains a number of other notebooks.
These notebooks assist in getting started with making REST and SOAP API calls (with authenticate) through Python.
This notebook uses the textraxor library to extract categories and topics from a website through Python.
These notebooks assist in getting started with connecting to a db using either pyodbc or pymssql and executing a SQL query through Python.
This notebook briefly introduces the power behind dataframes and plotting their data for better visual analysis.
This notebook explores a few cool tricks when working with files
These notebooks provide guidance in getting started with exponential smoothing, linear trend projection and moving forecast in Python.
This notebook demonstrates manipulating JSON using Python.
These notebooks demonstrate how to build message notifications for Slack and Microsoft Teams from Python.
This provides guidance on how to conduct server monitoring using CSVs as a data source or using a database as a data source. The data is then visualised using a Power BI report. The Power BI report is currently linked to the ServerMonitoring.csv file provided in this repo.
This notebook takes a look at basic Python commands for first time Python coders.
This notebook takes a look at how pandas can be used by a beginner