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
Challenge: This article shows how to sort a Python list using the key argument that takes a function object as an argument. Quick Solution: You can use the lambda function to create the function on the fly as shown in the following example: Explanation: The code uses the key argument and passes a lambda function … Read more
As a programmer, you generally appreciate more control of your data and more control on the behavior of my program itself. It is in this moment when Python comes in our help with all its power letting us get right into the flow of our programming, avoiding us to lose something like define an attribute … Read more
Hello everyone! It is time for another top 10 cheat sheet! Today, I will be presenting the top 10 cheat sheets on Git! Not to be confused with GitHub, Git is a repository for all the changes you have made on your web or software development project. At first Git can be a little confusing, … Read more
Knowing the basics is what sets apart the great from the intermediate coders. In other words, a simple and effective way to grow your skills is to learn the basics of computer science. Python Pathfinder Algorithm In this tutorial, you’ll learn about the pathfinder algorithm that recursively determines whether there’s a direct or indirect path … Read more