Experiment with requests and feedparser package to extract update on CO₂ concentration from NOAA website

Exercise with web scraping, manipulate string and convert to Python object such as datetime, float and pack the data into dataframe. Finally, the data is plotted using matplotlib.pyplot

Taking a variety of tools to embed images to the Jupyter Notebook. A few are: Using img tag in HTML; converting image to a base64 string representation; using selenium to render map created by folium

Convert images into base64 string is handy to avoid missing attached files and pack the document into one single file

Comparing temperature sensors (Dallas DS18B20, Microchip MCP9808, Resistance Temperature Detector (RTD) PT-100, Sensirion SHT(3x, 21).

Cleaning and reformatting complex data for pandas. The data was stored in text file with list of dictionary and the key as another dictionary

Using seaborn to display data by using its powerful feature hue

Using historical data from NOAA website for Mauna Loa Observatory Station to re-construct the graph of atmospheric CO₂ since 1960

We will use matplotlib with requests to get data, extract data then with pandas to make a dataframe for the final graphing

Turning a toy experiment to publishable-graded graph using pandas, matplotlib

The data from this notebook was from testing discharge-charge with used18650 lithium battery

Data was collected using ESP8266 running Arduino sketch with ArduinoJson to transmit data in dictionary format. Data was captured on MQTT server using Python script

Current and voltage were measured uing INA216 sensors, TP4056 as the charger