NumPy can conduct arithmetic operations on arrays of various forms thanks to the robust method of broadcasting. NumPy enhances speed by comparing the morphologies of two arrays element by element and stretching the smaller shape to fit the bigger one wherever possible, hence reducing the need for explicit data replication.
Example: Adding a one-dimensional array to a two-dimensional array using broadcasting.
import numpy as np # One-dimensional array a = np.array([1, 2, 3]) # Two-dimensional array b = np.array([[0, 0, 0], [10, 10, 10], [20, 20, 20], [30, 30, 30]]) # Broadcasting addition c = a + b print(c) |
In this example, element-wise addition is carried out by broadcasting the one-dimensional array an over the two-dimensional array b. An output in two dimensions is obtained by stretching the form of a to fit the shape of b.
NumPy can conduct arithmetic operations on arrays of various forms thanks to the robust method of broadcasting. NumPy enhances speed by comparing the morphologies of two arrays element by element and stretching the smaller shape to fit the bigger one wherever possible, hence reducing the need for explicit data replication.
Example: Adding a one-dimensional array to a two-dimensional array using broadcasting.
import numpy as np # One-dimensional array a = np.array([1, 2, 3]) # Two-dimensional array b = np.array([[0, 0, 0], [10, 10, 10], [20, 20, 20], [30, 30, 30]]) # Broadcasting addition c = a + b print(c) |
In this example, element-wise addition is carried out by broadcasting the one-dimensional array an over the two-dimensional array b. An output in two dimensions is obtained by stretching the form of a to fit the shape of b.
Python is commonly used for developing websites and software, task automation, data analysis, and data visualisation. Since it's relatively easy to learn, Python has been adopted by many non-programmers, such as accountants and scientists, for a variety of everyday tasks, like organising finances.
Learning Curve: Python is generally considered easier to learn for beginners due to its simplicity, while Java is more complex but provides a deeper understanding of how programming works.
The point is that Java is more complicated to learn than Python. It doesn't matter the order. You will have to do some things in Java that you don't in Python. The general programming skills you learn from using either language will transfer to another.
Read on for tips on how to maximize your learning. In general, it takes around two to six months to learn the fundamentals of Python. But you can learn enough to write your first short program in a matter of minutes. Developing mastery of Python's vast array of libraries can take months or years.
6 Top Tips for Learning Python
The following is a step-by-step guide for beginners interested in learning Python using Windows.
Best YouTube Channels to Learn Python
Write your first Python programStart by writing a simple Python program, such as a classic "Hello, World!" script. This process will help you understand the syntax and structure of Python code.
The average salary for Python Developer is ₹5,55,000 per year in the India. The average additional cash compensation for a Python Developer is within a range from ₹3,000 - ₹1,20,000.
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