I received a phone call from a friend concerned that her credit card was being charged for an antivirus program she no longer used. I asked her who the email was from and she replied it was from a cryptic Gmail account. No reputable business would send customers emails from a Gmail account. Yes, some small companies might use Gmail, but certainly not companies like McAfee or Norton.
Coincidentally, here’s an email I received a day or two after my friend. There were so many red flags I thought it would be interesting to share.
If you ever get an email you are unsure about, look for these giveaways:
Did it come from an email address associated with the company? If not, it’s likely spam.
Does it hype up the email with exclamation marks, use of bold lettering, or all-caps? If so, it’s likely spam.
Is the email sent directly to you or did you receive it because it was bcc’d (blind carbon copy) to you? If it was bcc’d to you, it’s likely spam.
Lastly, is the formatting professional? If not, it’s likely spam.
Are there any dead giveaways I’ve missed? If so, let me know in the comments below!
I’ve really been enjoying learning about data analysis lately. Part of what’s made it so enjoyable is the use of Colab, which is Google’s version of Jupyter Notebook.
I came across a need to convert some lists of data to a CSV (comma separated values) format so I could paste it into a Google Sheet. Not finding anything online to do I decided to write my own, and here is the product.
The Colab notebook I created has been saved as a “gist”, which is GitHub’s cousin for fast and easy file storage service. The Gist website is also very popular for sharing CSV files, which this search will attest to.
You’ll notice an “Open in Colab” button at the top, which is how you will open the document. A really nice feature is that it is fully usable without needing to save the file anywhere, but for those that do want to save their work, they can, into Google Drive.
When you first run it, you’ll get a scary message that was written by Google’s lawyers. You’ll see from the source code that the notebook’s not doing anything nefarious, so just trust me and click on “Run Anyway”. 😆
This is a preview of the notebook. To open it, click here or on the filename on the bottom left corner of the preview.
Some Python programmers may want to remind me that I could have used Python’s built-in CSV library, but I felt Pandas would be faster, especially for large lists.
I hope some of you find this useful, although I’ll be happy if it gets some of you interested in Colab for Python programming or for data analysis, or even if it just introduces you to the Gist website.
Have you wanted to learn how to program but lacked the support? #100DaysOfCode is a formal (but flexible) process with a clear set of rules designed to motivate you. Part of the process involves sharing your goals and progress via social media and your files via GitHub, which is a free online repository website and version control service which many teachers are now using as an alternative to a traditional website.