In this blog, I’ll discuss how to build an interactive lookup of data and have the results spoken back to you in human language. Specifically, I have a list of all POTUS to-date in a file (Excel, CSV, Text…they’ll work without any code design change). I want to be able to lookup the very first […]
Month: August 2020
Turning visual map results into a database/dataset
I often get questions such as: “How do I export Google business data into a database?” or “How do I import Google locations data into an Excel sheet?” They’re both pointing to the same need. The scenario is that we can search on Google Maps or Bing Maps or just on any online Search engine […]
Morse code translator (Python)
In one of my earlier posts, I described how to take text and generate Morse code. For details on that, see Text to Morse: codes and sound generation (Python). In this post, I’ll do the reverse. The application will take Morse code symbols and translate into English text. First, let’s start with a fun fact. […]
Extracting phone numbers from any document/file
Imagine you have documents of various types: email, Word documents, PDF, text, HTML, Excel, etc. And you want to extract phone numbers, and phone numbers only from those documents as you try to build a list of contact information or a database. In this post, I show a quick and effective way to do just […]
Combining multiple datasets into a single data file (Excel or CSV)
The Scenario I want to analyze data for New England Patriots over the past 10 seasons. The data files are downloaded as a file by year. So, for 2010 through 2019 NFL season, I have 10 separate data files. I need to combine them all into a single file so I can do an all-up […]
Working with clipboard, dataframe, and data files
In this blog, I’ll share tips on: How to read data into a dataframe, create a subset of dataset in memory Read/write curated subset from/to clipboard as Text/CSV or XLSX Create new data files CSV/Excel The Scenario I have a large dataset. Checking its shape via Python, I see it has 18241 records with 9 […]
Using Python, SQL, and Excel together for data shaping & analysis
There are times when I’d like to take a peek at my data CSV or XLS/X even before firing up Excel. Usually when the dataset is large and I want to quickly inspect it and modify it for my needs before even putting Excel to work. For that purpose, Python is very useful. Add its […]