Easy Tech Tutorials

Ruby is used for web development, automation, and data processing. In this article, we'll explore how to create files in the Ruby programming language, covering various methods and best practices. File handling is an essential aspect of programming that allows you to read from and write data to files. In Ruby, the File class provides a set of methods that make file manipulation straightforward and efficient. Whether you're working with text files, binary files, or any other type of file, you'll want to know how to create, read, and write files in Ruby. Creating a file in Ruby is a simple process that involves using the File class and some of its associated methods. Let's start with the basics. File.new The File.new method is one of the primary ways to create a file in Ruby. Here are two examples of how to use it: Two examples using File.new   file_name = File.new("example.txt", "w")   # use the w flag as shown above if   # you want to write to a new...

Finding all occurrences of a particular character in a string in the Ruby programming language can be achieved in practically innumerable ways. You may want to choose your approach based on what you plan to do with the occurrences of these characters. In this tutorial, I will highlight ways to find all occurrences of a character in a string (not just the first one). Three Ways to Find All Instances of a Character in a String of Ruby Code Ruby's built-in count method allows you to count the number of times a character occurs in a string The built-in scan method allows you to see the characters themselves The index method allows you to retrieve the first location within a string where a character occurs All three methods can be used to clean data for pre-processing, which is the application I had in mind when making this guide. The method you choose to use should depend on your string and your desired outcome. Whatever your goal, my hope is that I've got you covered with a d...

Data preprocessing is a crucial part of data analysis. There are different methods for handling missing data. Doing so effectively will determine the accuracy of your model. I enjoy using the sklearn-pandas library when possible, as DataFrameMapper seemingly bridges the gap between scikit-learn's abilities and pandas data structures. Here, we will use this to avoid data imputation on a particular column and instead remove rows with missing values in this column from the dataset. Do note that whether one should remove data versus the decision to substitute values should be decided on a case-by-case basis. The factors involving this decision are beyond the scope of this tutorial. Deleting rows where column[xxx] value is null I received the following question regarding working on a dataset in pandas: "Hello, I'm using the sklearn-pandas.DataFrameMapper to preprocess my data. I prefer not to impute values for a particular column. Instead, I want to exclude any rows where ...