Probability and Statistics play a very important role in the field of data science and machine learning. In this blog post you will learn the concept of proportional sampling and how can we implement it from scratch without using any library Proportional Sampling Let us take an example of tossing a die to better understand … Read more
A set is an unordered collection of elements. Each element can exist at most once in a set. There are no duplicate elements. Goal: How to intersect to Python sets? Solution: set_a & set_b The set intersection operator set_a & set_b intersects two sets, i.e., creates a new set with elements that exist in both … Read more
Hey Finxters! I have another top 10 cheat sheets for you to consider and tape to your wall. In this article, I will be presenting the best Pytorch cheat sheets available. Keep them handy when you are working on a project and would like to spend less time searching for the correct function you are … Read more
The map() function transforms one or more iterables into a new one by applying a “transformator function” to the i-th elements of each iterable. The arguments are the transformator function object and one or more iterables. If you pass n iterables as arguments, the transformator function must be an n-ary function taking n input arguments. … Read more
Like most coders, I regularly consult a search engine—yeah, as if there were many good options ;)—to learn about parameter lists of specific Python functions. If you truly stand on the shoulders of giants, and leverage the powerful Python libraries developed by some of the best coders in the world, studying the API of existing … Read more
There are three problem variants of finding the maximum value in a Python dictionary: In the following, you’ll learn how to solve those in the most Pythonic way: Find Maximum Value & Return Only Value The output is: Find Maximum Value & Return (Key, Value) Pair The output is: Find Maximum Value & Return Only … Read more
To sort a dictionary by key in Python, use the dictionary comprehension expression {key:dict[key] for key in sorted(dict)} to create a new dictionary with keys in sorted order. You iterate over all keys in sorted order, obtain their associated values with rank[key], and put them into a new dictionary. Python dictionaries preserve the order—even if … Read more
Hello Finxter Family! It is time for another Top 10 Best!! Today, I will be focusing on Data Structures in Python and putting those cheat sheets here for you to download and keep on hand or pinned above the monitor for quick reference. Without further delay, let us get right to it! You can download … Read more
Python Boolean variables are set to either the True or False keywords. Both keywords require an Upper Case letter—lowercase letters are interpreted as normal variable or function names, so you could set true = True. A variable is of type Boolean if type(variable) results in the output <class ‘bool’>. You can convert any object to … Read more
Python’s locals() function returns a dictionary of name –> object mappings. The names are the ones defined in the current local scope, i.e., defined within the current module, class, method, or function—whatever the most local scope is. The objects are the values associated to these names. For example, if you set variable x = [1, … Read more
Hello fellow Finxters! I am back with another installment of top 10 cheat sheets. This time, we will be compiling a list of Python Object Oriented Programming (OOP) cheat sheets to make it easier to write programs to keep on hand! Let us dig right in without wasting any more time! Here’s the cheat sheet … Read more
Python’s built-in “dunder” function __import__() allows you to import a library by name. For example, you may want to import a library that was provided as a user input, so you may only have the string name of the library. For example, to import the NumPy library dynamically, you could run __import__(‘numpy’). In this tutorial, … Read more