Problem Formulation: Given a video file. How to get its duration in seconds using Python code? The video can have any of the following video formats: MP4 AVI Flash Video Mov Method 1: Using Subprocess + ffprobe Within your Python shell, you can run any external command with the module subprocess. The external tool ffprobe …
Problem Formulation Given a number of functions f1, f2, …, fn. How to chain the function calls so that the output of the i-th function is used as input for the (i+1)-th function? f1() —> output f1() is input of f2() —> output f2() is input of f3() … —> … is input of fn() …
Numpy is a popular Python library for data science focusing on arrays, vectors, and matrices. An important application of arrays, matrices, and vectors is the dot product. This article will teach you everything you need to know to get started! The dot product behaves differently for different input arrays. Dot Product 1D array and Scalar …
The Python ord() function takes a character (=string of length one) as an input and returns the Unicode number of this character. For example, ord(‘a’) returns the Unicode number 97. The inverse function of ord() is the chr() function, so chr(ord(‘a’)) returns the original character ‘a’. Here are three examples of passed Unicode characters transformed …
Problem Formulation: Can you serve a dash app within a Jupyter notebook rather than in a browser? Answer: Yes! Plotly created two Github projects that enable the serving of dash apps in a Jupyter notebook. The older jupyterlab-dash project is not actively maintained according to its creators from Plotly. You should use have a look …
Fear Your Coding Interview? This article shows you how to make your coding interview a success. General Tips to Prepare Your Interview Watch Google Interview tips. Read Prof. Philip Guo’s tips. Practice coding in Google Docs. Don’t use a code highlighting editor for your training time. Solve at least 50+ code puzzles. And most importantly: …
To compare each element of a NumPy array arr against the scalar x using any of the greater (>), greater equal (>=), smaller (<), smaller equal (<=), or equal (==) operators, use the broadcasting feature with the array as one operand and the scalar as another operand. For example, the greater comparison arr > x …
How to Compare Each Element of a Numpy Array Against a Value? Read More »
The min() function returns the minimum of the provided arguments. As arguments, you can either pass a number of comma-separated values, or a single iterable. An optional key function argument allows you to customize the calculation of the minimum by explicitly defining the weight of each value in the iterable that is used as a …
The max() function returns the maximum of the provided arguments. You can pass either an arbitrary number of values, comma-separated, or an iterable as arguments. An optional key function argument allows you to customize the calculation of the maximum by explicitly defining the weight of each value in the iterable that is used as a …
Problem Formulation: Given a one-dimensional NumPy array. How to create a new two-dimensional array by reshaping the original array so that the new array has x rows and y columns? Here’s an example of what you’re trying to do: # Given: [0 1 2 3 4 5] x = 2 # rows y = 3 …
Problem: What is the best way to check whether a given object is of a given type? For example, if you have a variable object, how to check if it’s a string? Check with Subclasses Solution: To check if an object is an instance of str or any of its subclasses, use isinstance: Note that …
What’s the Standard Way to Check for Type in Python? Read More »
Problem: How to create a sequence of evenly-spaced values Using pure, vanilla Python, and Using NumPy’s linspace() method. Example: Given three arguments: start=10, stop=20, number_of_values=11. How do you create a sequence of 11 values x0, x1, …, x10 where two subsequent values xi and x(i-1) have the same distance for all i in {0, …, …
How to Create a Sequence of Evenly Spaced Values [Vanilla Python & Numpy Linspace] Read More »
