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Engineer trying to implement technology for a positive impact

When a function is not a function

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Photo by Clay Banks on Unsplash


Why reinvent the wheel? Python has many built-in functions that do some of the things you are currently wrapping your brains around

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Photo by serjan midili on Unsplash


Living the past 18 months with the pain of plantar fasciitis has been excruciating, but learning the root causes of it will allow you to conquer it!

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Photo by sporlab on Unsplash


Getting Started

Knowing how to interpret the errors you receive when running your code enables you to diagnose and troubleshoot issues in no time!

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Photo by Sigmund on Unsplash


A huge hurdle in starting and developing a solid fitness routine usually lies with not having a plan and success measures. This is where technology can help.

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Photo by Alora Griffiths on Unsplash


The heart and soul of Python coding… Learning to make clean, simple, and easy to read functions within Python is Priceless.

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Photo by Shahadat Rahman on Unsplash


Beyond having strong technical knowledge, there are other key skills that are crucial to developing and productionalizing successful data science projects (or any engineering project for that fact).

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Photo by Guille Álvarez on Unsplash


One data type that is incredibly versatile for data science work and provides tons of utility is the dictionary, allowing a built-in relationship and hierarchy within itself.

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Photo by Pisit Heng on Unsplash


As it’s been said, code is read way more times than it is written. Developing good formatting habits while writing code is almost as important as making it work.

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Photo by Jordan Koons on Unsplash


Before you can start building data science projects, coding is a must and within Python understanding the key properties and differences of data types will make learning to code that much smoother.

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Photo by Markus Spiske on Unsplash

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