Notes on using data from Python (like a list of values) with SQL databases and tables (also in Python).
The following are notes from my readthrough of Maths and Stats for Web Analytics and Conversion Optimization by Himanshu Sharma, in no particular order:
Python is well known for its data science and analysis capabilities with packages such as Numpy, Matplotlib and Pandas. Each of these packages also offer a variety of graphing and visualisation tools, the majority of which is already very well documented.
The below spreadsheet can be used to check key metrics before purchasing a property.
Easy SSH when your computer and your PI are on the same network (wifi)
- Twitter sentiments - Looks up the 50 most recent tweets from any twitter user, classifies the sentiment of those tweets and outputs the result as a pie chart
- KS50 Finance - A simulated stock market portfolio tool, useful for learning the sharemarket with fake money, but real prices
- Mashup - Overlays Google News articles over a searchable Google Map of Australia
The following are apps I’ve developed that currently only run from the command line. Many thanks to the excellent CS50 course for guidance with these.
A dashboard used to mean an array of physical instruments, arranged in front of an operator of some form of machine.
A young man reconnects with his old university mentor after more than 15 years. Unfortunately, his mentor, Morrie, is slowly dying of a fatal, degenerative disease. Rather than lapsing into self pity however, Morrie chooses to spend what time he has left coming to terms with his mortality. Shared in this memoir is his take on life from the unique perspective of one close to death.
I needed to transform a table with data somewhat summarised (see below), back into a database, or data rows.
A simple calculator to determine if you are financially better off to rent or buy a property. Feedback welcomed in the comments below.
For the rare occasion when you need to select multiple items from a list in Excel, the below VBA code will do the trick, complete with a nice selector panel. See the screen capture below for it in action.
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