Skip to main content

Beginner’s Guide to Building a Mobile App Using React Native and Expo.dev

 

This article is about how to create your first mobile app using React Native and Expo. For the development, I used the online platform expo.dev. It accelerates your work by suggesting dependencies very well (which npm packages you need to install).

React Native is a JavaScript framework that helps you to launch your mobile app, similar to how React.js is used for building web applications. Like React.js, here also you create and call different components. Expo is basically a toolset for React Native — it provides pre-configured tools, libraries, and services so you don’t need to set up everything manually. Expo helps you make it easier and faster to build mobile apps (iOS and Android).

 

Steps

  1. Go to the expo.dev website. Opening this website you will find an interface like this, which is your first/main/directory root screen App.js.

If this interface does not open, then search for and go to the ‘Snacks’ section of expo.dev, where you can create a new Snack for your mobile app development. 

2. In the file package.json, it stores the dependencies, which include different npm packages and libraries required to run the app.

3. If you want multiple screens in your app, then create another folder like screens and under this folder create different components like Sidebar.js, Layout.js, and LandingPage.js. Call these components in the App.js file as required. Similarly, you can call different components inside another component. In our case, Sidebar.js and Layout.js are called inside LandingPage.js, and LandingPage.js is then called inside the App.js screen.

 You will see the output of your code on the right side of the expo.dev interface, where both Web and Android app previews are available. You can also scan the QR code from the device section using the Expo Go mobile app to run it directly on your device.

 

What I Learned

Building this first app taught me how simple it can be to get started with React Native when using Expo. The expo.dev platform and Expo Go app made testing very smooth, while React Native components helped me structure the app easily. This gave me the confidence to explore more features and build more complex apps in the future.

 

Visit Github

Further Reading

  1.  How to Build an Offline Mobile App with React Native, Expo, and SQLite

People are good at skipping over material they already know!

View Related Topics to







Contact Us

Name

Email *

Message *

Popular Posts

BER vs SNR for M-ary QAM, M-ary PSK, QPSK, BPSK, ...

๐Ÿ“˜ Overview of BER and SNR ๐Ÿงฎ Online Simulator for BER calculation of m-ary QAM and m-ary PSK ๐Ÿงฎ MATLAB Code for BER calculation of M-ary QAM, M-ary PSK, QPSK, BPSK, ... ๐Ÿ“š Further Reading ๐Ÿ“‚ View Other Topics on M-ary QAM, M-ary PSK, QPSK ... ๐Ÿงฎ Online Simulator for Constellation Diagram of m-ary QAM ๐Ÿงฎ Online Simulator for Constellation Diagram of m-ary PSK ๐Ÿงฎ MATLAB Code for BER calculation of ASK, FSK, and PSK ๐Ÿงฎ MATLAB Code for BER calculation of Alamouti Scheme ๐Ÿงฎ Different approaches to calculate BER vs SNR What is Bit Error Rate (BER)? The abbreviation BER stands for Bit Error Rate, which indicates how many corrupted bits are received (after the demodulation process) compared to the total number of bits sent in a communication process. BER = (number of bits received in error) / (total number of tran...

Constellation Diagrams of ASK, PSK, and FSK

๐Ÿ“˜ Overview of Energy per Bit (Eb / N0) ๐Ÿงฎ Online Simulator for constellation diagrams of ASK, FSK, and PSK ๐Ÿงฎ Theory behind Constellation Diagrams of ASK, FSK, and PSK ๐Ÿงฎ MATLAB Codes for Constellation Diagrams of ASK, FSK, and PSK ๐Ÿ“š Further Reading ๐Ÿ“‚ Other Topics on Constellation Diagrams of ASK, PSK, and FSK ... ๐Ÿงฎ Simulator for constellation diagrams of m-ary PSK ๐Ÿงฎ Simulator for constellation diagrams of m-ary QAM BASK (Binary ASK) Modulation: Transmits one of two signals: 0 or -√Eb, where Eb​ is the energy per bit. These signals represent binary 0 and 1.    BFSK (Binary FSK) Modulation: Transmits one of two signals: +√Eb​ ( On the y-axis, the phase shift of 90 degrees with respect to the x-axis, which is also termed phase offset ) or √Eb (on x-axis), where Eb​ is the energy per bit. These signals represent binary 0 and 1.  BPSK (Binary PSK) Modulation: Transmits one of two signals...

Theoretical vs. simulated BER vs. SNR for ASK, FSK, and PSK

๐Ÿ“˜ Overview ๐Ÿงฎ Simulator for calculating BER ๐Ÿงฎ MATLAB Codes for calculating theoretical BER ๐Ÿงฎ MATLAB Codes for calculating simulated BER ๐Ÿ“š Further Reading BER vs. SNR denotes how many bits in error are received for a given signal-to-noise ratio, typically measured in dB. Common noise types in wireless systems: 1. Additive White Gaussian Noise (AWGN) 2. Rayleigh Fading AWGN adds random noise; Rayleigh fading attenuates the signal variably. A good SNR helps reduce these effects. Simulator for calculating BER vs SNR for binary ASK, FSK, and PSK Calculate BER for Binary ASK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary FSK Modulation Enter SNR (dB): Calculate BER Calculate BER for Binary PSK Modulation Enter SNR (dB): Calculate BER BER vs. SNR Curves MATLAB Code for Theoretical BER % The code is written by SalimWireless.Com clc; clear; close all; % SNR va...

MATLAB code for BER vs SNR for M-QAM, M-PSK, QPSk, BPSK, ...

๐Ÿงฎ MATLAB Code for BPSK, M-ary PSK, and M-ary QAM Together ๐Ÿงฎ MATLAB Code for M-ary QAM ๐Ÿงฎ MATLAB Code for M-ary PSK ๐Ÿ“š Further Reading MATLAB Script for BER vs. SNR for M-QAM, M-PSK, QPSK, BPSK % Written by Salim Wireless clc; clear; close all; num_symbols = 1e5; snr_db = -20:2:20; psk_orders = [2, 4, 8, 16, 32]; qam_orders = [4, 16, 64, 256]; ber_psk_results = zeros(length(psk_orders), length(snr_db)); ber_qam_results = zeros(length(qam_orders), length(snr_db)); for i = 1:length(psk_orders) psk_order = psk_orders(i); for j = 1:length(snr_db) data_symbols = randi([0, psk_order-1], 1, num_symbols); modulated_signal = pskmod(data_symbols, psk_order, pi/psk_order); received_signal = awgn(modulated_signal, snr_db(j), 'measured'); demodulated_symbols = pskdemod(received_signal, psk_order, pi/psk_order); ber_psk_results(i, j) = sum(data_symbols ~= demodulated_symbols) / num_symbols; end end for i...

Online Simulator for ASK, FSK, and PSK

Try our new Digital Signal Processing Simulator!   Start Simulator for binary ASK Modulation Message Bits (e.g. 1,0,1,0) Carrier Frequency (Hz) Sampling Frequency (Hz) Run Simulation Simulator for binary FSK Modulation Input Bits (e.g. 1,0,1,0) Freq for '1' (Hz) Freq for '0' (Hz) Sampling Rate (Hz) Visualize FSK Signal Simulator for BPSK Modulation ...

Theoretical BER vs SNR for BPSK

Theoretical Bit Error Rate (BER) vs Signal-to-Noise Ratio (SNR) for BPSK in AWGN Channel Let’s simplify the explanation for the theoretical Bit Error Rate (BER) versus Signal-to-Noise Ratio (SNR) for Binary Phase Shift Keying (BPSK) in an Additive White Gaussian Noise (AWGN) channel. Key Points Fig. 1: Constellation Diagrams of BASK, BFSK, and BPSK [↗] BPSK Modulation Transmits one of two signals: +√Eb or −√Eb , where Eb is the energy per bit. These signals represent binary 0 and 1 . AWGN Channel The channel adds Gaussian noise with zero mean and variance N₀/2 (where N₀ is the noise power spectral density). Receiver Decision The receiver decides if the received signal is closer to +√Eb (for bit 0) or −√Eb (for bit 1) . Bit Error Rat...

What is - 3dB Frequency Response? Applications ...

๐Ÿ“˜ Overview & Theory ๐Ÿ“˜ Application of -3dB Frequency Response ๐Ÿงฎ MATLAB Codes ๐Ÿงฎ Online Digital Filter Simulator ๐Ÿ“š Further Reading Filters What is -3dB Frequency Response?   Remember, for most passband filters, the magnitude response typically remains close to the peak value within the passband, varying by no more than 3 dB. This is a standard characteristic in filter design. The term '-3dB frequency response' indicates that power has decreased to 50% of its maximum or that signal voltage has reduced to 0.707 of its peak value. Specifically, The -3dB comes from either 10 Log (0.5) {in the case of power} or 20 Log (0.707) {in the case of amplitude} . Viewing the signal in the frequency domain is helpful. In electronic amplifiers, the -3 dB limit is commonly used to define the passband. It shows whether the signal remains approximately flat across the passband. For example, in pulse shapi...

Comparisons among ASK, PSK, and FSK | And the definitions of each

๐Ÿ“˜ Comparisons among ASK, FSK, and PSK ๐Ÿงฎ Online Simulator for calculating Bandwidth of ASK, FSK, and PSK ๐Ÿงฎ MATLAB Code for BER vs. SNR Analysis of ASK, FSK, and PSK ๐Ÿ“š Further Reading ๐Ÿ“‚ View Other Topics on Comparisons among ASK, PSK, and FSK ... ๐Ÿงฎ Comparisons of Noise Sensitivity, Bandwidth, Complexity, etc. ๐Ÿงฎ MATLAB Code for Constellation Diagrams of ASK, FSK, and PSK ๐Ÿงฎ Online Simulator for ASK, FSK, and PSK Generation ๐Ÿงฎ Online Simulator for ASK, FSK, and PSK Constellation ๐Ÿงฎ Some Questions and Answers Modulation ASK, FSK & PSK Constellation MATLAB Simulink MATLAB Code Comparisons among ASK, PSK, and FSK    Comparisons among ASK, PSK, and FSK Comparison among ASK, FSK, and PSK Parameters ASK FSK PSK Variable Characteristics Amplitude Frequency ...