I have mained Python since 2006, and it has helped me hold down two jobs, and earn a Software Engineering MSc. But that training showed me I need to add another tool to my toolbox. A statically-typed compiled language with no garbage collection. I chose Rust. In the summer of 2019 after finishing my first year, I skimmed the Rust Book. The Ownership concept was new to me, but overall I liked the feel of the language, Cargo, and that there seemed to be no gotchas.

After a bit of Googling, I found this post which details several methods of getting this done. I only needed an email sent to admins if any management command fails; below is the code I came up with. Edit manage.py to look something like this (I’ve only included code needed for this functionality): # ... import sys import traceback from django.core.mail import mail_admins def main(): # ... try: execute_from_command_line(sys.argv) except Exception: mail_admins( subject=f"Command <{' '.

When you hit the limit of your current Jenga setup of off-the-shelf software. For example, a setup consisting of Google Workspace(GW), Quickbooks Online(QBO), Slack and a Payments Processor (PP) would work well. But: What happens when you need to search the hundreds of spreadsheets on Google drive and filter by criteria that involves joining data on 10 different spreadsheets? What if there’s a mistake copying transactions from the PP to QBO, or a transaction is forgotten all together?

All thanks to God 🙏🏾 Onward and upward 🚀

… instead of being used by it. Image Source: commons.wikimedia.org I came across the video below by Tim Ferriss on YouTube, one of those recommended ones, tiled “How to Use Your Phone… So That It Doesn’t Use You” At the 3:56th minte he says “I want to be in command of my time and I don’t want every one else’s agenda to become my to-do list.” This resonates with Cal Newport’s book Deep Work that I read sveral years ago.

A list of Python “batteries” whose core is written in a systems programming language for speed. Package Short Description from the Author URL Numpy “The fundamental package for scientific computing with Python … NumPy offers comprehensive mathematical functions, random number generators, linear algebra routines, Fourier transforms, and more.” https://numpy.org/ Scipy “Fundamental algorithms for scientific computing in Python” https://scipy.org/ ⭐ Pandas “Pandas is a fast, powerful, flexible and easy to use open source data analysis and manipulation tool, built on top of the Python programming language.

Problem You’ve tried to add an object into a set and a TypeError: unhashable type: exception was raised. You were probably using a set becase you needed a collection of objects without duplicates. If that was the case, two ways of solving this come to mind Solution Implement the __hash__ method for the parent class of that object as per the guidelines in the Python documentation. Extend the inbuilt data-type list and override it’s append() method: