The datetime module is a powerful part of the Python standard library. However, some repetitive naming decisions make a simple syntactic import error common. This quick clarification can help avoid countless headaches! — Python’s Datetime module is a powerful addition to the standard library and helps make short work out of — you guessed it — managing dates and times. The syntax for importing the main Datetime class is a bit redundant and, in some cases, causes confusion.

Pandas DataFrames provide convenient methods for manipulating data with ease. The row-column format of the DataFrame is native to CSV files and knowing how to both save and load CSV files with Pandas is an essential skill for any data scientist! — Pandas is a powerful data science library with heavy optimizations done. The DataFrame object is an efficient data structure whereby data is organized in a 2-dimensional manner with powerful built-in tools for manipulating that data.

React’s powerful state management has become wildly popular as a backbone for dynamic user experiences in web applications. Here are a few tips on how to avoid react-scripts errors to ensure such magic powers aren’t extinguished before they even have a chance to shine. — React is a powerful JavaScript framework that allows developers convenient means of managing state in web applications. It features convenient application launching utilities that rely on several packages to deploy their full utility. One such package is the react-scripts package, used by the create-react-app utility.

Python lets developers use high-level syntax to perform robust string operations via arithmetic operators. There are some restrictions as well as some common pitfalls. Uncovering some of each will help avoid application errors and in some cases even lower memory use! — Python allows developers to use common arithmetic operators on strings. This high-level manipulation of textual data is one of the many reasons Python has surged in popularity. One example of this is the ability to use arithmetic operators to manipulate strings in Python.

Swapping dictionary values in Python uses the age-old swap logic found in the course materials of many a computer science course. However, Python provides a simplified syntax for achieving such operations that can also be applied to dictionary objects! — Python dictionary objects are convenient means of storing key-value pairs. Dicts provide convenience methods for data access but leave developers to their own means for operations. For example, to swap the position of two values in a python dictionary one must devise a custom approach — there is no ‘swap’…

Trying to tabulate JSON into a human-friendly format? Is your JSON data nested? In any case, the Pandas library can make short work of converting this common data format into a more reader-friendly presentation when needed! — Tabulating data is the process in which different segments are aligned in vertical columns and horizontal rows. This is a common presentation format for things like tables, spreadsheets, calendars, and business reports. Tabulating JSON data in Python can be easy when using the Pandas DataFrame object to do the heavy…

Curious about all the random 1000/60 snippets in the code you inherited? These are common translations from CPU and CPU millisecond time to human-friendly second time! As it turns out — it’s tough business showing the human eye content without causing issues! — Framerate is the measure of many unique images are shown to a viewer during a given period of time. Frames-per-second (FPS) is the common measurement among video games, movies, and animations. Many programming languages measure time intervals in milliseconds such that a 60fps framerate is often denoted as 1000/60.

The debate of tabs vs. spaces has raged on among software engineers for decades. It’s the closest thing the software industry has to a holy war and the casualties can be real. The tabs vs. spaces debate has ended partnerships, hurt feelings, and crashed programs. — The essence of this debate boils down to whether a programmer chooses to insert ASCII character 9 (alt + num 0 > num 9) to insert whitespace into their code vs. using ASCII character 32 (alt + num3 > num2). The debate sounds pedantic at first glance but there are…

Downloading files with Python is super easy and can even be syntactically simple with robust libraries like requests. However, there is no standard library implementation to show a progress bar in python during a download. In this quick tutorial, we’ll show how to quickly implement such a feature to help avoid guesswork during long downloads. — Introduction: Understanding the Problem Before we dive in we need to understand all the moving pieces of this problem. This will provide the framework by which we can concoct our approach of showing a progress bar while downloading a file via Python. An outline is as follows: