Problem Formulation: Given a path to a folder as a Python string. The folder is non-empty. How to remove the whole folder in your Python script? Example: Say, you have the path=’path/to/folder’ in your Python script and it contains some files and subfolders: path –to —-folder ——file1.dat ——file2.dat ——subfolder1 ——–file3.dat ——subfolder2 ——–file4.dat You want to … Read more
First, let’s have a look at an image—hopefully telling us more than a thousand words: Okay, let’s go back to square one—before you understand hypergraphs, we first need to understand graphs. What Are Graphs? You most likely know graphs. The web graph consists of websites connected via hyperlinks. The websites are graph vertices and the … Read more
Python’s built-in filter() function is used to filter out elements that pass a filtering condition. It takes two arguments: function and iterable. The function assigns a Boolean value to each element in the iterable to check whether the element will pass the filter or not. It returns an iterator with the elements that pass the … Read more
Summary: To iterate over the dictionary items in random order get the list of items in a tuple with .items() or get the list of keys with .keys() or extract the values in a list using .values() , then shuffle and iterate through this list using the shuffle() method of the random module. Problem: Given a … Read more
Problem Formulation: How to fix the TypeError: len() of unsized object? TypeError: len() of unsized object There are many possible ways why this array may occur. One common pitfall is to use the len() function on a NumPy array with only one value. Example: Let’s consider the minimal example that creates this error message! Reason … Read more
Problem Formulation: Given a PyCharm project. How to install a library in your project within a virtual environment or globally? Solution that (almost) always works: Here’s the installation process as a short animated video: How to Install a Library on PyCharm? In some PyCharm versions, the installation steps will be slightly different. If this is … Read more
Problem Formulation: Given a PyCharm project. How to install the pandas library in your project within a virtual environment or globally? Solution that always works: Open File > Settings > Project from the PyCharm menu. Select your current project. Click the Python Interpreter tab within your project tab. Click the small + symbol to add … Read more
Machine Learning (ML) is a sought-after skill in today’s automated world. Google is one of the key players in the Machine Learning space. With the growing scale and popularity of deep learning, the limitations of a single machine become more and more pronounced. Motivation Training a model on a single computer can take a long … Read more
Hey Finxters! Another 10 of the best cheat sheets is here for you to peruse and hang on your wall with your other Python cheat sheets on the wall! Today, we are going to browse cheat sheets for Scipy!! For a quick explanation, SciPy is a scientific computation library that uses NumPy underneath. SciPy stands … Read more
Python’s built-in function len() returns the length of the given string, array, list, tuple, dictionary, or any other iterable. The type of the return value is an integer that represents the number of elements in this iterable. Usage Learn by example! Here are some examples on how to use the len() built-in function. The examples … Read more
MapReduce is the name of both (i) a distributed processing programming model provided by the Apache Foundation, and (ii) a functional processing technique. It consists of two steps: the map() function and the reduce() function. Map() converts each element in a data set into a modified element. Reduce() takes subsets of modified elements and aggregates … Read more
You can download the slides of the Finxter Remote Freelancing Report here as a high-resolution PDF: Study Findings Observation 1: Paradigm shift towards remote + freelancing Observation 2: Efficiency gains through remote work Observation 3: Efficiency gains through freelancing Thesis: mega productivity surge ahead in the next decade Observation 1: The Paradigm Shift Towards Remote … Read more