Understanding Push Notifications in iOS: A Deep Dive into the Payload
Understanding Push Notifications in iOS: A Deep Dive into the Payload
Push notifications are a fundamental aspect of mobile app development, allowing developers to send notifications to users without them needing to interact with their app directly. In this article, we’ll delve into the world of push notifications on iOS, exploring how Instagram sends notifications without vibration for new likes and with vibration for replies.
Background: Push Notification Basics
To understand push notifications in iOS, it’s essential to grasp the basics of Apple’s Push Notification service (APNs).
Selecting Rows from a Pandas DataFrame Based on Duplicate Values in One Column But Different Values in Another Using Pandas GroupBy, DropDuplicates, and Duplicated Methods
Pandas Duplicate Rows in a Specific Column but Different Values in Another In this article, we will explore how to select rows from a Pandas DataFrame where there are duplicate values in one column but different values in another. We will dive into three methods using groupby, drop_duplicates with value_counts, and drop_duplicates with the duplicated method.
Introduction The following example demonstrates a scenario where we have a DataFrame with multiple rows for each name, and some of these names are associated with different countries.
Visualizing Individual Participation on Code Changes with R
Introduction to Plotting Participation on Changes in a Code by Individuals in R In this article, we will explore how to plot the participation of individuals on changes in a code using R. The problem is presented as follows: we have a dataframe where each row represents a worker and their changes are documented. We want to visualize the cumulative proportion of changes against the number of contributors.
Understanding the Data The data is represented in a dataframe with three columns: devf (developer), lines_add (number of lines added), and lines_del (number of lines deleted).
Analyzing Local Maxima and Minima in Time Series Data with R Programming Language
Analyzing Local Maxima and Minima in Time Series Data In this article, we will explore how to identify local maxima and minima in time series data using R programming language. We’ll walk through a step-by-step process on how to find the number of curves, beginning values that a curve starts at, and end values that a curve finishes.
Introduction Time series analysis is a statistical technique used to analyze data points that are measured at regular intervals over time.
The Limitations and Workarounds of Using NSDecimalNumbers for Advanced Mathematical Operations
Understanding NSDecimalNumbers and Their Limitations NSDecimalNumbers are a type of numeric data type used in Objective-C to represent decimal numbers with high precision. They were introduced in macOS 10.4 Tiger as part of the Foundation framework, providing a way to handle decimal arithmetic that is more accurate than the traditional float or double types.
At their core, NSDecimalNumbers are based on the IEEE 754 floating-point representation standard for single and double precision floating point numbers, but they also include additional features such as support for fractions and arbitrary-precision arithmetic.
Understanding How to Properly Sort Data from an Excel File Using Python and Creating a Single Writer Object Outside of the Loop for Efficient Resource Usage and Improved Readability
Understanding the Problem and Solution In this section, we will discuss the problem presented in the Stack Overflow question. The problem involves sorting data from an Excel file with multiple sheets using Python and then writing the sorted data to a new Excel file.
Background and Context The solution provided uses two popular libraries: xlrd for reading Excel files and pandas for data manipulation. The code reads the Excel file, parses each sheet into a pandas DataFrame, sorts the data based on a specific column, and writes it back to a new Excel file.
Understanding Image Picker Controllers in iOS: Workaround for Missing UIImagePickerControllerEditedImage Key
Understanding Image Picker Controllers in iOS =====================================================
Introduction The UIImagePickerController is a powerful tool in iOS development that allows users to select images from their device’s photo library or take new photos using the camera. In this article, we will explore how to use the UIImagePickerController to edit images and retrieve the edited image.
The Problem: UIImagePickerControllerEditedImage not found When working with image pickers in iOS, it’s common to encounter the issue of missing UIImagePickerControllerEditedImage key in the editing info dictionary.
Creating Word Clouds in R for Text Files: A Step-by-Step Guide
Introduction to Word Clouds in R Creating a word cloud for text files in a directory is a common task in natural language processing and visualization. In this article, we will explore how to create word clouds for each text file in a directory using the R programming language.
Background on Text Preprocessing Before creating a word cloud, it’s essential to preprocess the text data by removing punctuation, numbers, and stop words.
Implementing a Custom Scroll View Indicator in iOS: A Step-by-Step Guide
Understanding UIScrollView and Implementing a Scroll View Indicator
When working with UIScrollView in iOS development, it’s common to encounter scenarios where you need to display an indicator or badge that signifies the presence of more content within the scroll view. One such scenario is when the user has reached the bottom of the scroll view and hasn’t yet scrolled back up, but the content doesn’t quite fill the entire height of the scroll view.
Understanding Float Values in Pandas DataFrames: A Step-by-Step Guide to Reading .dat Files with Accurate Column Types
Understanding Float Values in Pandas DataFrames When working with numerical data, it’s essential to understand the data types and how they affect your analysis. In this article, we’ll delve into the details of reading .dat file float values as floats instead of objects in Pandas.
Introduction Pandas is a powerful library used for data manipulation and analysis in Python. When working with numerical data, it’s crucial to understand the data types and how they impact your analysis.