Problem: Write a function that joins an arbitrary number of string arguments with a given separator. Example: Given the string arguments “A”, “B”, and “C” and the string separator “-“. Join them to the concatenated string “A-B-C”. Solution: The following code creates a Python function concat() that takes an arbitrary number of arguments, packs them … Read more
Python’s built-in getattr(object, string) function returns the value of the object‘s attribute with name string. If this doesn’t exist, it returns the value provided as an optional third default argument. If that doesn’t exist either, it raises an AttributeError. An example is getattr(porsche, ‘speed’) which is equivalent to porsche.speed. Usage Learn by example! Here’s an … Read more
Heatmaps are a specific type of plot which exploits the combination of color schemes and numerical values for representing complex and articulated datasets. They are largely used in data science application that involves large numbers, like biology, economics and medicine. In this video we will see how to create a heatmap for representing the total … Read more
Python’s built-in setattr(object, string, value) function takes three arguments: an object, a string, and an arbitrary value. It sets the attribute given by the string on the object to the specified value. After calling the function, there’s a new or updated attribute at the given instance, named and valued as provided in the arguments. For … Read more
Python’s built-in delattr() function takes an object and an attribute name as arguments and removes the attribute from the object. The call delattr(object, ‘attribute’) is semantically identical to del object.attribute. This article shows you how to use Python’s built-in delattr() function. Usage Learn by example! Here’s an example on how to use the delattr() built-in … Read more
Machine Learning algorithms can be majorly classified into four types: Supervised Learning Unsupervised Learning Semi-supervised Learning Reinforcement Learning In this article we will dive into supervised and unsupervised learning. Introduction to Supervised Learning In supervised learning, a sample labeled data is fed to the machine learning model to train it, based on which it predicts … Read more
If you are a data scientist or aspire to be one investing your time in learning natural language processing (NLP) will be an investment in your future. 2020 saw a surge in the field of natural language processing. In this blog post you will discover 5 popular NLP libraries, and it’s applications. Preprocessing Libraries Preprocessing … Read more
Thanks for being an active member of our exclusive club of lifelong learners. ?? We’re so grateful for all the time you spend learning and improving your skills. Please be assured—for all the trust, time, and effort you put into Finxter, we’re never going to let you down. The team of Finxter Creators is here … Read more
If you’re like me, you love those TLDR; overviews to grasp the big picture quickly. Here is mine about Python’s compile() function: Python’s built-in compile() method returns an executable code object as an “Abstract Syntax Tree” represented as an ast object. By passing this code object into the exec() or eval() functions, you can run … Read more
This tutorial shows you how to use Python’s built-in eval() function. Why Using It? The main application of eval() is to take user input at runtime and run it as a Python expression. This way, you can create a calculator or allow users to perform custom computations on a computing cluster. However, this use also … Read more
The bubble sort does exactly what you’d expect it to do. It sorts an input list by treating each element as a bubble that climbs up the list. Each bubble rises as long as it is greater than the list elements. If a list element is smaller or equal to a list element, the bubble … Read more
Exponents are superscript numbers that describe how many times you want to multiply a number by itself. Calculating a value raised to the power of another value is a fundamental operation in applied mathematics such as finance, machine learning, statistics, and data science. This tutorial shows you how to do it in Python! Definition For … Read more