NumPy array is the basic data structure in the NumPy library for Python

#python #programming #softwaredevelopment

Day 60 [October 6, 2025]

I need to buckle down, as I'm still lagging on day 2's remaining goals, day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 59 goals.

Goals:
As extracted from the 'Python for Software Development' textbook by Halvorsen (n.d.):

The New Age of Programming ✅
What is Python? ✅
Introduction to Python ✅
Interpreted vs. Compiled ✅
Python Packages ✅
Python Packages for Science and Numerical Computations ✅
Python Editors ✅
Python IDLE ✅
Visual Studio Code ✅
Variables ✅
Numbers ✅
Strings ✅
String Input✅
Built-in Functions✅
Python Standard Library✅
Using Python Libraries, Packages and Modules✅
Python Packages✅
Plotting in Python
Subplots
Exercises
If ... Else
Arrays
For Loops
Nested
For Loops
While Loops
Exercises
Creating Functions in Python - Introduction
Functions with multiple return values
Exercises
Creating Classes in Python
The init () Function
Exercises
Creating Python Modules
Exercises

Notes:
'Python for Software Development' textbook by Halvorsen (n.d.):

Recalling from Day 59, although numpy.arange() function and Python's built-in range() function have similarities, they differ in the sense that, unlike the range() function which returns a list, numpy.arange() function returns a NumPy array (geeksforgeeks, 2025).

What's a NumPy array?
The formal name is ndarray (N-dimensional array) and it is the basic data structure in the NumPy library for Python (Google, 2025). It has the following important characteristics (Google, 2025):

Homogeneity of data type
Multidimensionality
Fixed number of elements, unless you create a new array
Efficient operations for large datasets
Large pool of functions and methods for carrying various tasks as creating, sorting, reshaping, performing mathematical operations, and manipulating.

Summary:
NumPy array is the basic data structure in the NumPy library for Python.

References: