Workflow Automation

If you want to predict where you are with machine learning and WiFi signals, use whereami. One application of whereami is to turn on Hue light bulbs in specific locations through your laptop.

To predict your current location, start by collecting some samples by running whereami learn -l location in different locations. Once collecting at least 10 data points, run whereami predict to predict your current location.

Link to whereami.
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If you want to use Google People Also Ask in Python, try the people_also_ask library. 

Link to people-also-ask.
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If you want to download a file from Google Drive in Python, use gdown. All you need to specify is the URL link.

Link to gdown.
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pandas allows you to read data from a website without downloading the data. 

For example, to read a CSV from GitHub, click Raw then copy the link. 
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If you want to open a website using Python, use webbrowser.

For example, running the code above will open my website in your browser.

My previous tips on automation in Python.
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If you want to get Google news in Python, use GoogleNews. GoogleNews allows you to get search results for a keyword in a specific time interval.

Link to GoogleNews.

My previous tips on getting data in Python.
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Do you use often use a sequence of commands to do a repetitive task? Wouldn’t it be nice if you can call all those commands using only one short command? That is when Makefile comes in handy.

In the code above, I use Makefile to organize and automate the workflow to set up an environment. After creating the Makefile, I only need to run make install_all to run a series of commands.

I used Makefile to simplify the setup of my customer_segmentation project.

You can learn more about Makefile here.
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It can be tiring and time-consuming to type the same sentences again and again. Wouldn’t it be nice if you can create shortcuts for those sentences?

That is when Espanso comes in handy. In the video above, I use Espanso to create shortcuts for frequently used terminal commands or texts.

Link to Espanso.
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