ChrisThis tutorial introduces an advanced language feature: lambda functions. Lambda functions are rooted in the mathematical area of lambda calculus. One of the pioneers of this area was Alonzo Church. He introduced lambda functions in 1936 even before the appearance of the first computers. Lambda functions exist in a wide range of languages for functional … Read more
Large companies analyze massive amounts of data coming from various sources such as social nets, weblogs, or customers. An important class of data analytics concerns large-scale set operations. Suppose you have two customer data sets A and B. Set A contains all customers who bought in 2017. Set B contains all customers who bought in … Read more
Matplotlib with Python is the most powerful combination in the area of data visualization and data science. This guide takes 25 minutes of your time—if you watch the videos, it’ll take you 2-4 hours. But it will be a great investment of your time because it’ll make you a better coder and more effective data … Read more
Modifying a sequence while iterating over it can cause undesired behavior due to the way the iterator is build. To avoid this problem, a simple solution is to iterate over a copy of the list. For example, you’ll obtain a copy of list_1 by using the slice notation with default values list_1[:]. Because you iterate … Read more
NumPy is a popular Python library for data science. Numpy focuses on array, vector, and matrix computations. If you work with data, you cannot avoid NumPy. So learn it now and learn it well. In this tutorial, you’ll learn how to calculate the Hadamard Product (= element-wise multiplication) of two 1D lists, 1D arrays, or … Read more
Python’s return keyword commands the execution flow to exit a function immediately and return a value to the caller of the function. You can specify an optional return value—or even a return expression—after the return keyword. If you don’t provide a return value, Python will return the default value None to the caller. Python Return … Read more
If used without argument, Python’s built-in dir() function returns the function and variable names defined in the local scope—the namespace of your current module. If used with an object argument, dir(object) returns a list of attribute and method names defined in the object’s scope. Thus, dir() returns all names in a given scope. Usage Learn … Read more
Challenge: How to find a given value in a sorted list? Example: Say, you have a sorted list: Your goal is to find the index of the element 103 in the list. Do you have to check all elements to do this? Well, only if you used the … Naive List Search Algorithm A naive … Read more
Python’s built-in dict() function creates and returns a new dictionary object from the comma-separated argument list of key = value mappings. For example, dict(name = ‘Alice’, age = 22, profession = ‘programmer’) creates a dictionary with three mappings: {‘name’: ‘Alice’, ‘age’: 22, ‘profession’: ‘programmer’}. A dictionary is an unordered and mutable data structure, so it … Read more
In this article, I’m going to compile the top ten Python freelancer resources on the Finxter website. [Article] How to Go Full-Time ($3000/m) as a Python Freelancer In this article, you are going to learn my exact strategy how to earn $3000 per month as a Python freelancer without actually working full-time and without sacrificing … Read more
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