If there is one subject in Python that creates confusion, it is that of generators. Generators are functions, but they have several differences from the ordinary functions you and I use daily. Today, we’ll be taking a gentle immersion into the world of generators to understand what they are, how they differ from ordinary functions, … Read more
Problem Formulation Given a Python dictionary containing lists and other data structures. You want to store the dictionary in a file or send it over the network in a more efficient form. How to serialize a Python dictionary into a string, and then deserialize the string back to a dictionary data structure? Here’s a rough … Read more
Problem Formulation Given a function definition in Python, starting with the keyword def: How to know when a “def” of a function ends? For example, in Java and C++, functions are enclosed with opening and closing parentheses {…}, so the ending of a function is not ambiguous. Ending a Function Syntactically In Python, whitespace indentation … Read more
Problem Formulation Given a Pandas DataFrame with column labels, and a list of new column names as strings. How to change the column names to replace the original ones? Here’s an example using the following DataFrame: You want to rename the column names [‘Col_A’, ‘Col_B’, ‘Col_C’] to [‘a’, ‘b’, ‘c’] so that the resulting DataFrame … Read more
You can index specific values from a NumPy array using another NumPy array of Boolean values on one axis to specify the indices you want to access. For example, to access the second and third values of array a = np.array([4, 6, 8]), you can use the expression a[np.array([False, True, True])] using the Boolean array … Read more
Python’s shutil.which(cmd) function returns the path to the executable that would run if you called cmd in the command line. If there is no such executable, it returns None. The shutil module is part of the standard library, so you only need to add the statement “import shutil” to your program without needing to install … Read more
Fear of missing out in data science? Data science and machine learning are taking over. Data-driven decision making penetrates every single company nowadays. Data science is indeed the “sexiest job in the 21st century“! There is one Python library which is the basis of any data science related computation you can undertake as a Python … Read more
Company tags: Google Are you preparing for your next coding interview? If your answer is yes, then here’s a very interesting interview question for you that might come up in your interview. Problem Statement We are playing the Guess Game. The game is as follows: I pick a number from 1 to n. You have to … Read more
Problem Formulation Say, you run a Python program on your Windows machine and you want it to take a screenshot. How to accomplish this programmatically? Method 1: Multiple Screen Shots Module To programmatically record one or more screenshots in your Python program, run the sct.shot() function from the mss module. Install the Multiple Screen Shots … Read more
Problem Formulation You create a namedtuple object in your code and you want to overwrite one of the attribute values like you’re used to for normal objects: But, unexpectedly, Python raises an AttributeError: can’t set attribute. ? What can you do? ? Let’s understand the reason this error occurs—after that, you’ll learn the best fixes. … Read more
This article explains first how the NumPy nonzero() function works. It then goes on to apply it to a practical problem on how to find array elements using the nonzero() function in NumPy in a practical data science example. Syntax numpy.nonzero(a) The np.nonzero(arr) function returns the indices of the elements of an array or Python … Read more
Finding Peak Element in an array using Linear Search and Binary Search Methods.