In NumPy, the @ operator means matrix multiplication. For instance, let’s multiply two NumPy arrays that represent 2 x 2 matrices: Output: If you are familiar with matrix multiplication, I’m sure this answers your questions. However, if you do not know what matrix multiplication means, or if you are interested in how the @ operator […]
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To transpose a matrix with NumPy, call the transpose() method. For instance: Output: If you are in a hurry, I’m sure this quick answer is enough. To learn more about matrix transpose, keep on reading. What Is the Transpose of a Matrix The transpose of a matrix is another matrix where the matrix is flipped
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To concatenate two arrays with NumPy: For instance: Output: This is a quick answer. To learn more ways to concatenate arrays and about their efficiency, please, stick around. 4 Ways to Concatenate 1D NumPy Arrays There are four built-in ways to concatenate arrays in NumPy. Before introducing these, it is important you understand that all
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To check if two NumPy arrays A and B are equal: For example: This is the easiest approach to comparing two arrays. But this approach is not 100% reliable. Instead, you should consider using the built-in np.array_equal() function for good measure. This always produces the right result. In this guide, you learn how to compare
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To resize an image using OpenCV, use the cv2.resize() function. To do this: Read an image into your program. Specify a scaling factor. Multiply the width and the height by the scaling factor. Call cv2.resize() function with the new dimensions Here is a quick cheat sheet for resizing images in four ways: Next, let’s take
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In Python, slicing is used to access specific parts of an iterable, such as a list. Here are some examples: But how does the slicing notation work? There are two syntaxes you can use the slice notation in Python: Let’s take a look at how both of these work. [start:stop] The slicing notation [start:stop] means
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In Python, there are 7 arithmetic operators you can use to perform basic mathematical operations. Here is a table of all the arithmetic operators in Python with examples: Operator Name Use + Addition x + y – Subtraction x – y * Multiplication x * y / Division x / y % Modulus x %
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In Python, a FIFO queue is a linear data structure. It stores objects in a first in first out (FIFO) manner. For example, you can use the Queue class from the queue module as a thread-safe FIFO queue: Output: However, you could use a regular list as a FIFO queue as well. In this guide,
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In Python, you can use the in operator to check if a value exists in a group of values. For example: Similarly, you can check if a value is not in a collection with not in operation (combining the not operator and the in operator): The ‘in’ Operator in Python The in operator works with
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Regression testing is an essential aspect of software development, ensuring that new code changes do not adversely impact existing functionalities. When developers introduce new features or bug fixes, there is a possibility that these changes may unintentionally disrupt how the existing system operates. To mitigate this risk, teams employ regression testing to confirm that the
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