Enabling and Disabling the iOS Screen Programmatically In this article, we’ll explore how to control the screen on an iOS device programmatically using Swift 3. We’ll cover the basics of setting screen brightness, disabling proximity monitoring, and turning off the screen. Understanding the Problem When developing an iOS application that runs indefinitely, it’s essential to consider the battery life and overall stress on the device. By default, Apple disables screen brightness when not in use to conserve power.

Understanding the Problem with AVCaptureStillImageOutput and Capture Area When working with camera capture in iOS, using classes like AVCaptureConnection and AVCaptureStillImageOutput, it’s common to encounter issues related to the camera’s capture area. In this article, we’ll delve into the problem you’re facing, explore possible solutions, and provide a detailed explanation of how to set the image capture view for the AVCaptureStillImageOutput class. Problem Statement The issue arises when using a custom tab bar with controls like capture buttons, flash buttons, etc.

Multiplication in R of Specific Portion of a Dataframe Introduction In this article, we will explore how to perform multiplication on specific values within a dataframe in R. We will use the dplyr library for data manipulation and lubridate for date functions. The problem involves changing the units (multiplying values by 0.305) of some values in the Date column from 1967 to 1973 while leaving the rest of the values as they are.

Extracting Date Components from POSIXct Vectors in R using Lubridate Introduction The lubridate package is a powerful tool for date and time manipulation in R. It provides a simple and elegant way to extract various components of dates, including year, month, day, hour, minute, and second. In this article, we will explore how to use the lubridate package to extract specific components from POSIXct vectors. Background POSIXct is a class of time objects in R that represents a date and time value.

Understanding Query Results and Calculating Total Counts When working with database queries, it’s common to encounter results that include both desired data and aggregate values. In this case, we’re looking to calculate a total count of records associated with each doc_id in the query results. Problem Statement The original question presents a scenario where we have two tables: table1 and table2. The table1 table has columns col_a, id, and col_c, while the table2 table has columns t2_col_a, doc_id, and others.

Debugging an Environment Issue for Large Packages with Tidyverse and Dplyr Introduction As a developer, we’ve all been there - working on a complex project that relies heavily on specific packages and libraries. When issues arise, it can be challenging to identify the root cause without proper debugging tools and techniques. In this post, we’ll delve into the world of R and Tidyverse, exploring how to debug an environment issue for large packages like yours.

Understanding the Behavior of plm in R: A Deep Dive into Factors and pdata.frames In this article, we will delve into the world of panel data analysis using the plm package in R. We will explore a specific issue where the plm function incorrectly identifies a numeric vector as a factor, leading to unexpected behavior and errors. Our goal is to understand the root cause of this problem and provide practical solutions to resolve it.

Introduction to Azure SQL Database and Mobile App Service As a developer, working with cloud services can be both exciting and challenging. In this article, we will delve into the world of Azure SQL Database and Mobile App Service, focusing on the specific issue of updating an existing database with a new column using .NET backend for a mobile app service. Prerequisites Before diving into the solution, it’s essential to understand the basics of Azure SQL Database and Mobile App Service.

Parsing newLine Characters in JSON Strings ===================================================== When working with JSON strings, it’s common to encounter newline characters (\n) that can cause parsing issues. In this article, we’ll explore the problem and discuss a simple solution for parsing newline characters in JSON strings. Introduction JSON (JavaScript Object Notation) is a lightweight data interchange format that’s widely used in web services, mobile apps, and other applications. When working with JSON strings, it’s essential to understand how to handle newline characters correctly.

Customizing Legend with Scatterplot ===================================== In this article, we will explore how to customize the legend of a scatterplot created using seaborn. We will discuss both common issues that arise when working with scatterplots and provide solutions for them. The Problem: Red Thingy Introduction When creating a scatterplot using seaborn, the legend can be customized in several ways. However, there are two common issues that users often encounter: The red thingy issue: This is where the name of the column used for the size parameter (in this case, “CI_CT”) appears as a label in the legend.