The necessity of introducing dev with native programming skills depends on the complexity of the project. In some cases, RN dev should be able to write a native code if the need arises. Nonetheless, some native features (e.g. Dynamic Island) might still require a developer with detailed knowledge of a particular platform. Although React Native offers more and more open-source libraries that provide easy access to the native platform features, sometimes it might not be enough.
Lack of custom modules
As of now, React Native still lacks some components and others can be still underdeveloped. Thus, you might have to build your solution from scratch or try to hack an existing one. Then, instead of only one codebase, you could end up with three: one for RN and native codebase for Android and iOS. This may result in differences in the behavior and appearance of an app on various platforms. Fortunately, those situations don’t come about often and chances of encountering such problems are pretty low.
TimeSeriesTrends
Step 1: Install Required Libraries Make sure you have the following libraries installed: Step 2: Import Libraries Step 3: Load Time Series Data For this tutorial, let’s create a simple time series dataset. You can also load data from a CSV file or other sources. Step 4: Visualize the Data Visualizing the data is crucial to identify any trends. Step 5: Decompose the Time Series You can decompose the time series to analyze its trend, seasonality, and residuals. Step 6: Identify Trends To identify the trend component, you can simply extract it from the decomposition results. Step 7: Simple Moving Average A simple moving average (SMA) can help smooth out short-term fluctuations and highlight longer-term trends.
Upgrading issues
Each React Native upgrade brings further improvements, so using an updated version is recommended. However, you can’t always entirely rely on the automatic update implementation: you might face some unexpected issues when adapting to the new version. Fortunately, there are upgrade helpers and community guides that can support you during the transition between your current and any higher RN version.
Compatibility and debugging issues
What might be surprising is that even though top tech players, such as Microsoft or Meta, have used React Native for years, it’s still in beta. While the framework is constantly updated, it hasn’t reached the 1.0 version yet. As a result, developers might come across various issues with package compatibility or debugging tools. Besides, due to the large amount of community packages, there is a risk that some packages you might be interested in are no longer maintained or compatible with your project.
Large developer community
React Native is an open-source platform that allows developers to contribute their knowledge to the framework’s development, freely accessible to all. If a developer experiences a problem, they can turn to the community for support. As of November 2022, there were over 120,000 active questions on the React Native tag on Stack Overflow, some with several dozen comments.
TextAnalyzer
Step 1: Setting Up Your Environment Make sure you have Python installed. You can use any text editor or IDE (like VSCode, PyCharm, or even Jupyter Notebook). Step 2: Install Required Libraries For our text analyzer, we will use the nltk library for natural language processing. You can install it using pip: You may also need to download some additional resources: Step 3: Create the Text Analyzer Here’s a simple implementation of a text analyzer: Step 4: Running the Analyzer Explanation of the Code Step 5: Customize and Expand You can enhance the analyzer by adding features such as:
Simplified UI
React Native is solidly based on creating a mobile UI. In native solutions, you will need to create a sequence of actions in the application. React Native uses declarative programming in which such an order of implementing actions is obsolete. As a result, it is much easier to spot bugs on the paths a user can take.
Good performance
We ran a test and compared two versions of a simple application written in both React Native and Swift. The two apps achieved very similar performance results and the differences were almost unnoticeable. Nevertheless, to accomplish as good results as in native, the devs have to put extra attention to the JavaScript code.
More cohesive team
Native development requires two separate teams for each mobile platform: one for Android and one for iOS. Having two teams working separately towards the same goal might be difficult, since projects may lack consistency if not managed properly. React Native allows one team to work on multipurpose code, using only devs with detailed native skills for building particular native components.