Bijay Kumar In this tutorial, I will explain how to create a date object from a year, month, and day in TypeScript. If you have separate values for the year, month, and day and need to combine them into a valid date object, there are several ways to accomplish this using the built-in Date constructor, Date.UTC(), or … Read more >>
Recently, I was working on a financial dashboard project where I needed to calculate payment due dates that were several months in the future. The issue is… TypeScript doesn’t have a built-in “addMonths” method like some other languages do. So we need a workaround. In this tutorial, I’ll cover five simple ways you can use … Read more >>
Recently, I was working on a TypeScript project where I needed to manipulate dates for a scheduling application. The task was simple: getting the current date in TypeScript. In this tutorial, I will explain how to get the current date in TypeScript using various methods. Using the Native Date Object The best way to get … Read more >>
It is a little bit tricky when you need to handle null values in TypeScript dates. Throughout my years of TypeScript development, I have found that properly managing nullable date fields is crucial for building robust applications. You should be aware of how to handle null dates in TypeScript when developing a user profile system … Read more >>
XML is an efficient format for storing and exchanging structured data. As a Python developer, I often need to convert strings containing XML-like data into proper XML objects for parsing, manipulation, and validation. In this article, I will show you multiple methods to convert a string to XML in Python. Having worked with XML processing … Read more >>
Recently, I was building a data analysis tool to process financial information for a US-based retail company. Everything was going well until my program suddenly crashed with this error: ValueError: could not convert string to float. The error occurs when Python tries to convert a string to a float, but the string contains characters that … Read more >>
Working with scientific notation in Python is something I encounter almost daily in my data analysis work. Just last week, I was processing a dataset from the US Environmental Protection Agency that contained pollution measurements in scientific notation. Converting Scientific Notation strings to float values isn’t always easy, especially when the data comes from external … Read more >>
When working with strings in Python, there are often when we need to convert them into lists. While the split() method is the most common approach, there are scenarios where we need alternatives. In my decade-plus experience as a Python developer, I have encountered multiple situations where the split() method wasn’t the ideal solution. In … Read more >>
Recently, I was working on a project where I needed to handle data coming from a REST API. The data was in JSON format as a string, and I needed to convert it to a Python dictionary to process it efficiently. JSON is a lightweight data interchange format that’s easy for humans to read and … Read more >>
Recently, I was working on a project where I needed to encode data before sending it over a network. The issue is that base64 encoding is a fundamental technique, but it’s not always easy for beginners to understand. In this article, I’ll cover five simple ways you can convert strings to base64 in Python (including … Read more >>
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