Python Dictionary for Data-Driven Engineering

A dictionary is a set with 🔐 key:value pairs. It is designed to lookup values based on the 🔑 key to return a 🔒 value. An example is a dictionary of words (key) with a definition for each word (value).

1️⃣ Python Basics
Data-driven engineering relies on information, often stored in the form of characters (strings) and numbers (integers and floating point numbers). It is essential to import, export, and get data into the correct form so that information can be extracted. This series includes an introduction to Python Basics as foundational elements.
2️⃣ Python Tuple
Tuple (e.g. (i,x,e)) is immutable (does not change) as an efficient storage mechanism for constant sets of values.
3️⃣ Python List
List (e.g. [i,x,e]) is a mutable set of values where it is possible to add elements, remove elements, sort.
4️⃣ Python Set
Set (e.g. {i,x,e}) is a data structure that is similar to list but not sorted and has no duplicate values.
5️⃣ Python Dictionary
Dictionary (e.g. {'i':i,'x':x,'e':e}) is a data structure with a reference value based on key.
6️⃣ NumPy
NumPy expands upon the basic Python functions to create an array. Matrix and vector operations are designed as a foundation for numerical calculations.
7️⃣ Pandas
Pandas reads, cleanses, calculates, rearranges, and exports data. It is a library for working with data with common high-level functions that simplify the processing steps of analytics and informatics.