Forem: Manoj Pedvi

I’m excited to announce my new Android app — Easy Teleprompter for Creators! I’d love your feedback and suggestions 🚀🙏 Download now and give it a spin: https://play.google.com/store/apps/details?id=in.manojpedvi.easyteleprompter

Manoj Pedvi — Mon, 20 Oct 2025 12:41:40 +0000

Manoj Pedvi

Oct 20 '25

Just Launched: Easy Teleprompter for Creators 🎥📱

#android #jetpack #java #kotlin

Comments

1 min read

Easy Teleprompter for Creators - Apps on Google Play

Professional teleprompter app for content creators, YouTubers & video makers

play.google.com

Just Launched: Easy Teleprompter for Creators 🎥📱

Manoj Pedvi — Mon, 20 Oct 2025 09:51:52 +0000

I’m excited to announce my new Android app — Easy Teleprompter for Creators!

Whether you’re a YouTuber, podcaster, educator, or business creator, this teleprompter helps you:

Write or paste scripts quickly
Control scroll speed and text size
Mirror/flip for different setups
Keep eye contact with the camera
Record smoother takes with less retakes

I’d love your feedback and suggestions—drop a review or comment so I can keep improving. 🚀🙏

Download now and give it a spin:

https://play.google.com/store/apps/details?id=in.manojpedvi.easyteleprompter

Master Jetpack Compose Animations — Bite‑Sized Guides to Make Your UI Pop ✨

Manoj Pedvi — Fri, 26 Sep 2025 15:10:12 +0000

Want your Android UIs to feel alive? These short, practical guides show exactly how to add smooth, modern motion to your Compose apps — from tiny micro‑interactions to full component transitions. Tap any link below and start animating today 🎯

Why you’ll love these posts

Real, copy‑pasteable code — no fluff 👨‍💻
Clear explanations so you can build confidently 🚀
Covers everything: quick state animations, coordinated transitions, and custom enter/exit effects 🎛️

Start here — the big picture

Jetpack Compose Animation Guide https://10x-programming.com/jetpack-compose-animation-guide A friendly tour of Compose animation tools and when to use each one. Perfect first stop.

Animate single values — fast wins

animate*AsState in Jetpack Compose https://10x-programming.com/jetpack-compose-animate-as-state Animate colors, sizes, floats — triggered directly from state. Great for buttons, icons, and small UI polish.

Show and hide with style

AnimatedVisibility in Jetpack Compose https://10x-programming.com/jetpack-compose-animatedvisibility Smooth enter/exit animations for content — ideal for lists, dialogs, and conditional UI. Make hide/show feel intentional.

Coordinate multiple properties

Transition API in Jetpack Compose https://10x-programming.com/jetpack-compose-transition-api One state, many animated values. Use this when multiple properties must move together (e.g., card → expanded state).

Go beyond the built‑ins

Jetpack Compose Custom Transitions https://10x-programming.com/jetpack-compose-custom-transitions When standard transitions aren’t enough — craft custom enter/exit behavior and composite animations for polished UX.

Grab common patterns

Animation Components in Compose https://10x-programming.com/animation-components-compose Quick reference for common components (crossfade, animateContentSize, updateTransition) so you can pick the right tool fast.

More posts in progress — coming soon 🚧

Compose Motion Guidelines (best practices for timing, easing, and UX motion) — coming soon
Animated Lists & LazyColumn Patterns (staggered enter/exit, item reordering animations) — coming soon
Complex Shared Element Transitions (between screens using Compose Navigation) — coming soon
Physics-based Motion (springs, fling, and gesture-driven animations) — coming soon
Animation Testing Strategies (how to reliably test animation timing and behavior) — coming soon

Quick learning path (2–3 hours)

Read the Animation Guide to choose your APIs.
Implement a small tweak with animate*AsState (15–30 min).
Swap a visibility toggle to AnimatedVisibility (15–30 min).
Use Transition/updateTransition for a slightly bigger component (30–60 min).
Try a custom transition if you want a unique effect.

Want a tailored starter? I can:

Recommend the exact article sequence for your app component (cards, FAB, headers).
Create a short code snippet you can drop into your project.
Review an animation and suggest smoother timings or better easing.

Which component do you want to animate first? 🎨🔥

Lifetime deals often appear as tantalizing opportunities, promising buyers access to cutting-edge tools at a fraction of the cost. However, beneath the allure lies a complex landscape of risks and rewards for both consumers and creators.

Manoj Pedvi — Thu, 06 Feb 2025 17:20:48 +0000

The Hidden Truth About Lifetime Deals: Are They Worth Your Investment?

Manoj Pedvi ・ Feb 6

#deals #lifetime #software #appsumo

The Hidden Truth About Lifetime Deals: Are They Worth Your Investment?

Manoj Pedvi — Thu, 06 Feb 2025 17:00:44 +0000

Lifetime deals often appear as tantalizing opportunities, promising buyers access to cutting-edge tools at a fraction of the cost. However, beneath the allure lies a complex landscape of risks and rewards for both consumers and creators. This post delves into the realities of lifetime deals and offers guidance on when they might truly be worth your investment.

What Are Lifetime Deals?

Understanding Lifetime Deals

Lifetime deals offer users a unique opportunity to pay a one-time fee for perpetual access to a product, typically software. Originating with platforms like AppSumo, founded by Noah Kagan in 2010, these deals have gained popularity among startups eager to attract customers and generate revenue quickly.

Expanding Platforms

While AppSumo is a well-known player, other platforms like StackSocial, PitchGround, and DealMirror also host such deals, each catering to different niches.

Why Are Lifetime Deals Appealing?

For Buyers

The allure of lifetime deals for buyers is undeniable. The concept of saving money and enjoying unlimited access to a tool feels like outsmarting the system. However, it's crucial to discern whether these tools are genuinely necessary or merely feeding a desire for shiny new gadgets.

For Sellers

For sellers, lifetime deals offer a quick influx of cash, crucial for early-stage startups. This immediate funding aids in gathering feedback, refining products, and mapping out future developments. However, it comes with the obligation to deliver ongoing value for a one-time payment.

The Risks and Challenges of Lifetime Deals

Challenges for Buyers

Shiny Object Syndrome: The temptation to purchase new tools can distract from focusing on essential tools.
Inactivity Risk: Accounts may become inactive over time, rendering the deal ineffective.
Product Evolution: Developers might pivot or release new versions, potentially sidelining lifetime deal users.

Challenges for Sellers

Sustainability: Maintaining long-term product value on a one-time payment is challenging.
High Operating Costs: Tools with high recurring costs may struggle financially after initial sales.
Reputation Risks: Changes in terms can lead to backlash and damage reputations, as seen with Wondershare Filmora's debacle.

When to Consider Lifetime Deals

While many lifetime deals may seem appealing, it's vital to evaluate them critically. Consider purchasing if:

The tool fills a genuine gap in your workflow.
It enhances productivity and aligns with your current projects.
The founder's track record assures continued product support.

Conclusion: Making Informed Decisions

Lifetime deals offer potential benefits but also carry significant risks. By focusing on tools that genuinely enhance your workflow and align with your priorities, you can avoid the pitfalls of impulsive purchases. Always question whether a deal truly serves your goals or merely acts as a distraction.

Evaluate your current toolset and workflow needs before jumping into lifetime deals. Prioritize long-term value over short-term savings. Have patience and invest wisely!

Reference Links:

Mastering Advanced Kotlin Collections: Sequences, Operations, and Custom Data Structures

Manoj Pedvi — Wed, 17 Jul 2024 12:14:52 +0000

Introduction

In the realm of Kotlin programming, collections play a pivotal role, offering robust tools for efficient data management. Delving into advanced collection concepts goes beyond basic manipulation tasks to explore sophisticated techniques and features that enhance code performance and readability significantly.

Sequences in Kotlin

Definition

Sequences in Kotlin resemble Java Streams, enabling lazy evaluation where operations are executed only when required, optimizing resource utilization.

Use Case

Sequences are particularly beneficial for handling extensive datasets, eliminating the need for creating intermediary collections and improving overall computational efficiency.

Example

val numbers = listOf(1, 2, 3, 4)
val sequence = numbers.asSequence()
    .map { it * 2 }
    .filter { it > 4 }

println(sequence.toList()) // Output: [6, 8]

This example showcases how sequences allow for deferred computation until the final result is needed, enhancing performance.

Collection Operations in Kotlin

Common Operations

map: Transforms each element within the collection.
filter: Selects elements based on specified conditions.
reduce and fold: Aggregate values starting from an initial point (for fold).
flatMap: Maps each element to a collection and consolidates the results into a single list.

Example

val names = listOf("Alice", "Bob", "Charlie")

// map operation
val nameLengths = names.map { it.length } // Output: [5, 3, 7]

// filter operation
val shortNames = names.filter { it.length <= 3 } // Output: [Bob]

// reduce operation
val totalLength = names.reduce { acc, s -> acc + s.length } // Output: Combined length of Alice, Bob, and Charlie

These fundamental collection operations facilitate seamless data transformations and summarizations with concise code implementation.

Lazy Evaluation in Kotlin

Concept

Lazy evaluation, employed through sequences or other deferred constructs like lazy and by lazy, postpones computations until their outcomes are explicitly required.

Benefits

Enhanced performance by avoiding redundant calculations.
Reduced memory footprint by discarding intermediate results promptly.

Example with Sequences

val numbers = generateSequence(1) { it +1}
                .take(1000)
                .toList()

val evenNumbers= numbers.asSequence()
                        .filter{it %2 ==0} 
                        .toList() 

println(evenNumbers)

This demonstration illustrates the efficiency of lazy evaluation in sequences by eliminating the creation of unnecessary intermediate lists during filtering.

Custom Collections in Kotlin

At times, standard library collections may fall short of meeting specific requirements, necessitating the creation of custom collections tailored to unique needs.

Steps Involved

Implementing requisite interfaces such as List or Set.
Overriding essential methods to ensure precise functionality.

Example: Implementing a Stack Data Structure

class Stack <E>: Iterable<E> {
    private var items : MutableList<E> = mutableListOf()

    fun push(item : E){
        items.add(item)
    }

    fun pop(): E? {
        return if(items.isNotEmpty()) items.removeAt(items.size()-1) else null  
    }

    override fun iterator ()=items.iterator()
}

fun main(){
    val stack=Stack<Int>()
    stack.push(10)
    stack.push(20)

    println(stack.pop())// prints '20'
}

By cultivating a deep understanding of these advanced Kotlin collection principles, developers can leverage the full potential of the language's collection framework to craft efficient and maintainable code solutions.

Conclusion

In this comprehensive guide, we've explored advanced Kotlin collection concepts like sequences, common operations, lazy evaluation, and custom data structures. By integrating these techniques into your Kotlin development workflow, you can optimize code performance, enhance scalability, and streamline data management processes effectively. Stay tuned for more insights on mastering Kotlin programming paradigms.

References

Mastering Background Processing in Android with WorkManager: A Guide to Efficient Background Processing

Manoj Pedvi — Fri, 18 Aug 2023 11:58:23 +0000

Introduction

In the world of mobile app development, performing background tasks efficiently is crucial for providing a smooth user experience. Android provides various APIs for background processing, but the recommended solution for persistent work is WorkManager. Part of Android Jetpack, WorkManager offers a simplified and consistent API for scheduling tasks that need to run in the background, even across app restarts and system reboots.

In this blog post, we will explore the power of WorkManager and learn how to schedule different types of tasks, define work constraints, handle work chaining, and integrate with other threading frameworks. We will also discuss the benefits of using WorkManager for reliable work and how it replaces deprecated APIs like FirebaseJobDispatcher, GcmNetworkManager, and Job Scheduler.

1. Types of Persistent Work

WorkManager handles three types of persistent work:

Immediate

Immediate tasks should begin execution immediately and complete soon. They can also be expedited in cases where priority is required.

Long Running

Long running tasks are those that might run for a longer duration, potentially exceeding 10 minutes. These tasks can be scheduled to run one-time or periodically.

Deferrable

Deferrable tasks are scheduled to start at a later time and can run periodically as well. They provide flexibility in executing tasks based on specific time intervals or conditions.

2. Features of WorkManager

WorkManager offers several key features that make it a powerful tool for background processing:

Work Constraints

Declaratively define optimal conditions for your work to run using work constraints. For example, you can specify that a task should only run when the device is on an unmetered network, when the device is idle, or when it has sufficient battery.

Robust Scheduling

WorkManager allows you to schedule work to run one-time or repeatedly using flexible scheduling windows. You can tag and name your work to schedule unique, replaceable tasks and monitor or cancel groups of work together.

Expedited Work

You can use WorkManager to schedule immediate work for execution in the background. Expedited work is useful for tasks that are important to the user and complete within a few minutes.

Flexible Retry Policy

WorkManager offers flexible retry policies, including a configurable exponential backoff policy, to handle cases where work might fail.

Work Chaining

For complex related work, you can chain individual work tasks together using an intuitive interface that allows you to control which pieces run sequentially and which run in parallel. Output data from one task can be passed to the next automatically.

Built-In Threading Interoperability

WorkManager seamlessly integrates with Coroutines and RxJava, providing flexibility to plug in your own asynchronous APIs for better control over threading.

3. Scheduling Immediate Work

To schedule immediate work in WorkManager, you can use the OneTimeWorkRequest class along with a Worker implementation. You can also set the task as expedited if it requires higher priority execution.

val workRequest = OneTimeWorkRequestBuilder<MyWorker>()
    .setExpedited(true) // Set as expedited if required
    .build()

WorkManager.getInstance(context).enqueue(workRequest)

4. Scheduling Long Running Work

For long running tasks, you can use any WorkRequest subclass along with a corresponding Worker implementation. If you want to show a notification for the ongoing task, you can call setForeground() in the Worker class.

val longRunningWork = PeriodicWorkRequestBuilder<MyWorker>(repeatInterval, repeatIntervalTimeUnit)
    .setInputData(myData)
    .setForeground(true) // Show notification for ongoing task
    .build()

WorkManager.getInstance(context).enqueue(longRunningWork)

5. Scheduling Deferrable Work

To schedule deferrable work that starts at a later time and can run periodically, you can use PeriodicWorkRequest along with a Worker implementation.

val deferrableWork = PeriodicWorkRequestBuilder<MyWorker>(repeatInterval, repeatIntervalTimeUnit)
    .setInputData(myData)
    .build()

WorkManager.getInstance(context).enqueue(deferrableWork)

6. Defining Work Constraints

Work constraints allow you to specify optimal conditions for your work to run. You can define constraints such as network connectivity, device charging status, battery level, and more.

val workConstraints = Constraints.Builder()
    .setRequiredNetworkType(NetworkType.UNMETERED)
    .setRequiresCharging(true)
    .setRequiresBatteryNotLow(true)
    .build()

val constrainedWork = OneTimeWorkRequestBuilder<MyWorker>()
    .setConstraints(workConstraints)
    .build()

WorkManager.getInstance(context).enqueue(constrainedWork)

7. Handling Work Chaining

Work chaining allows you to chain multiple work tasks together, defining dependencies between them. The output data from one task can be passed as input data to the next task automatically.

val cleanupWork = OneTimeWorkRequestBuilder<CleanupWorker>().build()
val waterColorFilterWork = OneTimeWorkRequestBuilder<WaterColorFilterWorker>().build()
val grayScaleFilterWork = OneTimeWorkRequestBuilder<GrayScaleFilterWorker>().build()
val blurEffectFilterWork = OneTimeWorkRequestBuilder<BlurEffectFilterWorker>().build()

val saveImageToGalleryWork = OneTimeWorkRequestBuilder<SaveImageToGalleryWorker>()
    .addTag(Constants.TAG_OUTPUT)
    .build()

val uploadWork = OneTimeWorkRequestBuilder<UploadWorker>()
    .addTag(Constants.TAG_OUTPUT)
    .build()

val continuation = WorkManager.getInstance(context)
    .beginUniqueWork(Constants.IMAGE_MANIPULATION_WORK_NAME, ExistingWorkPolicy.REPLACE, cleanupWork)
    .then(waterColorFilterWork)
    .then(grayScaleFilterWork)
    .then(blurEffectFilterWork)
    .then(if (save) saveImageToGalleryWork else uploadWork)

continuation.enqueue()

8. Built-In Threading Interoperability

One of the advantages of using WorkManager is its seamless integration with Coroutines and RxJava. You can easily combine these threading frameworks with WorkManager to handle asynchronous operations within your tasks.

For example, using Coroutines with WorkManager:

class MyCoroutineWorker(appContext: Context, workerParams: WorkerParameters) :
    CoroutineWorker(appContext, workerParams) {

    override suspend fun doWork(): Result {
        // Perform asynchronous operations using Coroutines
        return Result.success()
    }
}

9. Using WorkManager for Reliable Work

WorkManager is designed for reliable work that needs to run even if the user navigates away from the app or if the device restarts. It is suitable for tasks like sending logs or analytics to backend services or periodically syncing application data with a server.

However, it is not intended for in-process background work that can be safely terminated if the app process goes away. It is also not a general solution for all work that requires immediate execution. In such cases, other solutions like coroutines or AlarmManager should be considered.

10. Relationship to Other APIs

While coroutines are recommended for certain use cases that don’t require persistence, they should not be used for persistent work. Coroutines are primarily a concurrency framework, whereas WorkManager is specifically designed for persistent background processing.

AlarmManager should only be used for alarms related to clocks or calendars and not for general background work. Unlike WorkManager, AlarmManager wakes up a device from Doze mode, which is less efficient in terms of power and resource management.

11. Getting Started with WorkManager

To start using WorkManager in your Android app, follow these steps:

Add the necessary dependencies to your project’s build.gradle file.
Define a Worker subclass and implement the required doWork() method.
Create an instance of OneTimeWorkRequest or PeriodicWorkRequest using the builder pattern.
Enqueue the work request using WorkManager.getInstance(context).enqueue().

For detailed instructions and code examples, refer to the official Android documentation on getting started with WorkManager.

12. Additional Resources

Here are some additional resources where you can find more information about WorkManager:

With its powerful features and seamless integration with other threading frameworks, WorkManager is undoubtedly the go-to solution for background processing in Android apps. By intelligently scheduling tasks and defining constraints, you can ensure that your app performs efficiently while providing a great user experience.

Remember to handle different types of persistent work appropriately, define work constraints based on optimal conditions, utilize work chaining for complex tasks, and leverage built-in threading interoperability with Coroutines and RxJava. Start using WorkManager today and take your Android background processing to the next level!

Unleashing the Power of Jetpack DataStore - Kotlin: Elevate Your Android App’s Data Storage Experience

Manoj Pedvi — Mon, 07 Aug 2023 03:14:59 +0000

Introduction

In the realm of Android app development, data storage reigns supreme as a critical aspect that demands meticulous attention. Whether it involves storing user preferences, key-value pairs, or typed objects, embracing a robust and efficient data storage solution is paramount to delivering a seamless user experience. In this opulent blog post, we embark on a journey to explore the unparalleled capabilities of Jetpack DataStore – a lavish data storage library that bestows upon developers a modern and coroutine-based approach to data persistence in Android apps.

Section 1: Understanding Jetpack DataStore

Welcome to the realm of Jetpack DataStore, an exclusive component nestled within the prestigious Android Jetpack library. This elite collection of components and tools has been meticulously curated to empower developers in crafting luxurious Android apps with unparalleled ease. Within this distinguished collection lies DataStore – a regal data storage solution that endows developers with the ability to store key-value pairs or typed objects using protocol buffers. By harnessing the power of Kotlin coroutines and Flow, DataStore offers an opulent experience of asynchronous, consistent, and transactional data storage capabilities.

Section 2: The Two Implementations of DataStore

DataStore showcases its magnificence through two distinct implementations: Preferences DataStore and Proto DataStore.

Preferences DataStore: The Elegance of Simplicity

Enter the world of Preferences DataStore – an embodiment of simplicity and elegance. This refined implementation stands as a paragon of effortless data storage, where data is stored and accessed using keys. Preferences DataStore requires no predefined schema and does not burden developers with the shackles of type safety. It gracefully caters to the storage needs of key-value pairs, such as user preferences and app settings, with utmost grace and sophistication.

To create a Preferences DataStore, use the property delegate created by preferencesDataStore to create an instance of DataStore<Preferences>. Call it once at the top level of your Kotlin file, and access it through this property throughout the rest of your application. This ensures that your DataStore is kept as a singleton.

// At the top level of your Kotlin file:
val Context.dataStore: DataStore<Preferences> by preferencesDataStore(name = "settings")

To read from a Preferences DataStore, use the data property of the DataStore instance. You can expose the stored value as a Flow and use it to retrieve the appropriate value.

val EXAMPLE_COUNTER = intPreferencesKey("example_counter")
val exampleCounterFlow: Flow<Int> = context.dataStore.data
    .map { preferences ->
        // No type safety.
        preferences[EXAMPLE_COUNTER] ?: 0
    }

To write to a Preferences DataStore, use the edit() function provided by Preferences DataStore. This function allows you to transactionally update the data in the DataStore. You can access the current values in the transform block and update them as needed.

suspend fun incrementCounter() {
    context.dataStore.edit { settings ->
        val currentCounterValue = settings[EXAMPLE_COUNTER] ?: 0
        settings[EXAMPLE_COUNTER] = currentCounterValue + 1
    }
}

Proto DataStore: Where Complexity Meets Refinement

Behold the majesty of Proto DataStore – a realm where complexity finds solace in refined sophistication. This distinguished implementation boasts the ability to store data as instances of custom data types, meticulously defined using protocol buffers. Proto DataStore demands a predefined schema, meticulously crafted within proto files, which bestow upon it the power of strong typing and type safety. It serves as the perfect abode for storing intricate and structured data within your app, ensuring an unparalleled level of luxury.

To create a Proto DataStore, there are two steps involved:

Define a class that implements Serializer<T>, where T is the type defined in the proto file. This serializer class tells DataStore how to read and write your data type. Make sure you include a default value for the serializer to be used if there is no file created yet.

object SettingsSerializer : Serializer<Settings> {
    override val defaultValue: Settings = Settings.getDefaultInstance()

    override suspend fun readFrom(input: InputStream): Settings {
        try {
            return Settings.parseFrom(input)
        } catch (exception: InvalidProtocolBufferException) {
            throw CorruptionException("Cannot read proto.", exception)
        }
    }

    override suspend fun writeTo(t: Settings, output: OutputStream) = t.writeTo(output)
}

Use the property delegate created by dataStore to create an instance of DataStore<T>, where T is the type defined in the proto file. Call this once at the top level of your Kotlin file and access it through this property delegate throughout the rest of your app. The filename parameter tells DataStore which file to use to store the data, and the serializer parameter tells DataStore the name of the serializer class defined in step 1.

val Context.settingsDataStore: DataStore<Settings> by dataStore(
    fileName = "settings.pb",
    serializer = SettingsSerializer
)

To read from a Proto DataStore, use the data property of the DataStore instance. You can expose the appropriate property from your stored object as a Flow.

val exampleCounterFlow: Flow<Int> = context.settingsDataStore.data
    .map { settings ->
        // The exampleCounter property is generated from the proto schema.
        settings.exampleCounter
    }

To write to a Proto DataStore, use the updateData() function provided by Proto DataStore. This function transactionally updates a stored object. It gives you the current state of the data as an instance of your data type and updates the data transactionally in an atomic read-write-modify operation.

suspend fun incrementCounter() {
    context.settingsDataStore.updateData { currentSettings ->
        currentSettings.toBuilder()
            .setExampleCounter(currentSettings.exampleCounter + 1)
            .build()
    }
}

Section 3: Best Practices for Using DataStore: Embracing Elegance

To ensure your journey with DataStore remains as opulent as possible, we present a set of best practices to guide you towards a truly luxurious experience:

Embrace Singularity: Never create more than one instance of DataStore for a given file within the same process. Straying from this exclusive principle can shatter the very foundation of DataStore, leading to unexpected complications. Let singularity be the guiding principle to preserve its true essence.
Immutable Grandeur: The generic type employed within DataStore must exude an aura of immutability. Beware the perils of mutation, for they can tarnish the sanctity of DataStore and give rise to treacherous bugs. To maintain the highest standards of luxury, we strongly recommend employing protocol buffers – the epitome of immutability, simplicity, and efficient serialization.
MultiProcessDataStore: For those seeking to access DataStore from multiple processes, indulge in the extravagant offerings of MultiProcessDataStore. Refrain from mingling the usage of SingleProcessDataStore and MultiProcessDataStore for the same file, as such audacity can lead to data inconsistencies and other undesirable consequences.

Section 4: Setting Up DataStore in Your App: A Luxurious Affair

Preparing your Android app for a lavish affair with Jetpack DataStore demands the inclusion of the finest dependencies within your Gradle file. Depending on your preferred implementation – Preferences DataStore or Proto DataStore – make sure to adorn your app’s build.gradle file with the appropriate dependencies.

For Preferences DataStore, indulge in the following splendor:

dependencies {
    implementation "androidx.datastore:datastore-preferences:1.0.0"
    // Optional - Revel in the opulence of RxJava2 support
    implementation "androidx.datastore:datastore-preferences-rxjava2:1.0.0"
    // Optional - Bask in the grandeur of RxJava3 support
    implementation "androidx.datastore:datastore-preferences-rxjava3:1.0.0"
}

For Proto DataStore, immerse yourself in the magnificence of:

dependencies {
    implementation "androidx.datastore:datastore:1.0.0"
    // Optional - Revel in the opulence of RxJava2 support
    implementation "androidx.datastore:datastore-rxjava2:1.0.0"
    // Optional - Bask in the grandeur of RxJava3 support
    implementation "androidx.datastore:datastore-rxjava3:1.0.0"
}

Section 5: Conclusion: A Grand Finale

As we conclude this extravagant journey through the realm of Jetpack DataStore, we invite you to revel in the opulence that awaits. Explore the boundless possibilities of this lavish data storage library, where simplicity and refinement intertwine effortlessly. By embracing the best practices and harnessing the unique features offered by DataStore, you can ensure that your Android apps exude a sense of elegance and luxury in their data storage capabilities. Unleash the power of Jetpack DataStore and elevate your app’s data storage experience to new heights of grandeur.

Elevate Your Android App Development: Transitioning from Kotlin Android Extensions to Jetpack View Binding

Manoj Pedvi — Tue, 01 Aug 2023 07:21:20 +0000

Introduction:

Indulge in the world of sophisticated Android app development as we explore the deprecation of Kotlin Android Extensions and guide you through the opulent migration to Jetpack View Binding. In this lavish blog post, we will delve into the steps required to update your Gradle file, refine your activity and fragment classes, and provide you with invaluable tips for a seamless transition. Prepare to elevate your development experience to new heights!

Section 1: Introduction to the Exquisite World of Kotlin Android Extensions Deprecation

Unveiling a change that resonates with elegance, Kotlin Android Extensions, once a cherished feature allowing effortless access to views in XML layouts, has now been gracefully deprecated. However, fret not, for a more extravagant solution awaits in the form of Jetpack View Binding. This refined recommendation brings forth a more robust and refined approach to view binding.

Section 2: Updating the Gradle File with Majestic Grace

Prepare to embark on a journey of refinement by updating your module-level build.gradle file. With an air of grandeur, set the viewBinding build option to true within the buildFeatures block. Behold the example below, fit for royalty:

android {
    ...
    buildFeatures {
        viewBinding true
    }
}

Remember, each module that employs view binding must be adorned with this majestic configuration.

Section 3: Bidding Farewell to the Kotlin Android Extensions Plugin

Alas, the time has come to bid adieu to the once beloved Kotlin Android Extensions plugin. Since it is no longer supported, it must be gracefully removed from your Gradle file. Seek out the line that enables Kotlin Android Extensions, a relic of the past, often exemplified as:

plugins {
    id 'kotlin-android-extensions'
}

Remove this line, ensuring a harmonious coexistence with Jetpack View Binding, and avoid any conflicts that may arise.

Section 4: Embellishing Activity and Fragment Classes with Regal Beauty

Embrace the essence of refinement as we adorn your activity and fragment classes with the splendorous touch of Jetpack View Binding. With each step, your code will exude a regal charm that befits the noblest of applications.

Effortlessly remove all imports from kotlinx.android.synthetic, as they no longer hold a place within the realm of opulence.
With the utmost grace, inflate an instance of the generated binding class for your activity or fragment. For activities, this coronation takes place within the majestic onCreate() method. Fragments, on the other hand, experience their crowning moment during the resplendent onCreateView() method.

Gaze upon the majestic example below, showcasing the transformation of your activity class:

// Removing imports from kotlinx.android.synthetic, a noble act
import androidx.appcompat.app.AppCompatActivity
import android.os.Bundle
import com.example.myapp.databinding.ActivityMainBinding

class MainActivity : AppCompatActivity() {

    private lateinit var binding: ActivityMainBinding

    override fun onCreate(savedInstanceState: Bundle?) {
        super.onCreate(savedInstanceState)

        // Inflating the binding instance, a ceremony befitting royalty
        binding = ActivityMainBinding.inflate(layoutInflater)

        // Setting the content view using the root of the binding, a grand gesture
        setContentView(binding.root)

        // Behold, accessing views with the binding instance, a privilege reserved for the chosen few
        binding.name.text = viewModel.nameString
    }
}

And behold, the transformation of your fragment class, now adorned in opulence:

// Removing imports from kotlinx.android.synthetic, as we embrace a new era of grandeur
import androidx.fragment.app.Fragment
import android.os.Bundle
import android.view.LayoutInflater
import android.view.View
import android.view.ViewGroup
import com.example.myapp.databinding.FragmentMainBinding

class MainFragment : Fragment() {

    private var _binding: FragmentMainBinding? = null
    private val binding get() = _binding!!

    override fun onCreateView(
        inflater: LayoutInflater,
        container: ViewGroup?,
        savedInstanceState: Bundle?
    ): View {
        // Inflating the binding instance, a moment of pure elegance
        _binding = FragmentMainBinding.inflate(inflater, container, false)

        // Behold, accessing views with the binding instance, as if touched by divine intervention
        binding.name.text = viewModel.nameString

        return binding.root
    }

    override fun onDestroyView() {
        super.onDestroyView()
        _binding = null
    }
}

Section 5: Revel in the Opulence of Jetpack View Binding

Jetpack View Binding bestows upon you a plethora of extravagant benefits, far surpassing the humble offerings of Kotlin Android Extensions:

Type safety: Behold the grandeur of view binding generating classes that provide type-safe references to views. The risk of runtime errors is eradicated, leaving you to revel in the confidence of your refined code.
Nullability handling: Jetpack View Binding bestows upon you the power to handle nullability with grace and poise. The generated binding classes provide nullable or non-null references, ensuring that you navigate the terrain of null safety flawlessly.
Improved performance: As if touched by a magic wand, Jetpack View Binding eliminates the runtime overhead that once burdened your application. Experience enhanced performance fit for the most discerning of users.
Swift build times: Embrace the efficiency that Jetpack View Binding brings to your development kingdom. Only classes for XML layouts that are truly used are generated, resulting in swifter build times compared to Kotlin Android Extensions.
Enhanced IDE support: Prepare to be enchanted by the full support and splendor that Jetpack View Binding receives from the illustrious Android Studio. Your coding experience shall be adorned with exceptional code completion and effortless navigation.

Section 6: The Grand Finale

In this resplendent blog post, we have explored the deprecation of Kotlin Android Extensions and guided you through the luxurious migration to Jetpack View Binding. With each step, your Android app development experience has been elevated to new heights of refinement and sophistication.

Embrace the opulence that Jetpack View Binding offers, and witness your code shimmer with elegance and grace. As you embark on this journey of refinement, may your development endeavors be adorned with success and your applications befitting of the noblest of users. Happy coding, dear developer, and may your creations continue to shine in the realm of Android app development!

The Elegance of Kotlin Sealed Classes vs the Sophistication of Enums: A Delicate Balance

Manoj Pedvi — Thu, 27 Jul 2023 03:42:27 +0000

Introduction

In the realm of Kotlin, a kingdom of powerful constructs awaits developers, ready to be harnessed for diverse scenarios. Among these regal constructs are sealed classes and enums, adorned with their own unique characteristics and purposes. In this splendid blog post, we embark on a journey to explore the lavish differences between sealed classes and enums in Kotlin. Through resplendent code snippets and illustrious examples, we shall unravel their splendorous usage and applications.

Section 1: Introduction to Sealed Classes and Enums

Before we immerse ourselves in the opulent distinctions between sealed classes and enums, let us acquaint ourselves with these majestic constructs.

Sealed Classes:

Behold, the sealed class, a noble entity that bestows restrictions upon its subclasses. With its powers, it confines the realm of subclasses within the same file or module. Sealed classes are often favored when the need arises to acknowledge and handle a finite number of subclasses, ensuring that all possibilities are known and gracefully embraced.

Enums:

Welcome, dear reader, to the realm of enums, where a fixed set of constant values reign supreme. In Kotlin, enums manifest as regal classes, adorned with a limited number of predefined instances. Their majestic presence graces us when we require a small, fixed set of options that stand alone in their exclusive nature.

Section 2: Distinctions between Sealed Classes and Enums

2.1 Extensibility:

One of the key differentiating factors between sealed classes and enums lies within their extensibility. The sealed class, ever open to the wonders of extension, allows the creation of new subclasses within the same file or module. On the contrary, the enum, a bastion of exclusivity, remains closed to extension, disallowing the creation of new instances or subclasses.

Kotlin

sealed class Result
class Success(val data: Any) : Result()
class Error(val message: String) : Result()

enum class Status {
    SUCCESS, ERROR
}

2.2 Usage in When Expressions:

Both sealed classes and enums hold the potential to grace the exalted halls of “when” expressions, yet their behavior diverges subtly. When employing a sealed class within a “when” expression, one must gracefully handle all possible subclasses, ensuring a symphony of coverage and preventing any discordant compilation errors.

Kotlin

fun processResult(result: Result) {
    when (result) {
        is Success -> {
            // Revel in the triumphant success!
        }
        is Error -> {
            // Alas, an error has befallen us!
        }
    }
}

In contrast, enums shimmer within “when” expressions without the need for explicit handling of all cases. The compiler, ever vigilant, checks if all enum values are embraced, graciously gracing us with a compilation error should any cases be overlooked.

Kotlin

fun processStatus(status: Status) {
    when (status) {
        Status.SUCCESS -> {
            // Bask in the glory of success!
        }
        Status.ERROR -> {
            // Face the challenges presented by an error!
        }
    }
}

2.3 Flexibility in Data Structures:

Sealed classes, dear reader, offer a realm of unbridled flexibility when it comes to defining the structure of data associated with each subclass. Each subclass, a unique entity in its own right, boasts its properties, methods, and distinctive behavior. This opulence allows for the creation of intricate data structures, where each subclass is treated with the reverence it deserves.

On the other hand, enums possess a fixed structure, shared amongst all instances. While each enum instance may possess additional properties and methods, these treasures are shared amongst all individuals within the enum class.

Kotlin

sealed class Vehicle {
    abstract fun drive()
}

class Car(val model: String) : Vehicle() {
    override fun drive() {
        println("Driving the esteemed car $model")
    }
}

class Bike(val brand: String) : Vehicle() {
    override fun drive() {
        println("Embarking on a grand adventure with the majestic bike $brand")
    }
}

enum class Color(val rgb: Int) {
    RED(0xFF0000),
    GREEN(0x00FF00),
    BLUE(0x0000FF)
}

2.4 Memory Usage:

Behold, for enums, crafted as singletons, exude an aura of exclusivity. Within their realm, only one instance of each enum value exists, ensuring a realm of efficiency in memory usage. This luxury becomes evident in scenarios where a fixed set of options reign supreme, gracefully shared amongst all who traverse their dominion.

Sealed classes, however, offer a more diverse array of instances within each subclass. This grandeur, while resplendent, may result in increased memory usage when numerous instances grace the realm or when instances dynamically emerge at runtime.

2.5 Opulent Use Cases:

Sealed classes, dear reader, often find their place in the grand tapestry of code when a realm of closed, interrelated classes requires expression. They shine with a radiant brilliance when tasked with modeling state machines, where each sealed class represents a distinct state, a jewel in the crown of architectural elegance.

Enums, on the other hand, grace our code with their elegance when a small, distinguished set of options demands representation. They are cherished companions in the realm of categories, status codes, or any other scenario where a limited number of choices reign supreme.

Section 3: Conclusion

Sealed classes and enums, both resplendent constructs within the kingdom of Kotlin, possess their own unique strengths and purposes. Sealed classes, with their extensibility and flexibility in data structures, offer a realm of boundless possibilities for modeling intricate hierarchies. Enums, on the other hand, exude an aura of exclusivity, providing a fixed set of options, coupled with memory efficiency, in the pursuit of representing mutually exclusive choices.

To wield the power of sealed classes and enums with finesse, understanding their distinctions is paramount. By embracing the splendor of these constructs, you shall grace your codebase with elegance, fostering an environment of maintainable and luxurious Kotlin code.

Reference

Original Blog Post

Efficient Coding with Live Code Templates in Android Studio: A Tool for Simplifying Your Programming Tasks

Manoj Pedvi — Sun, 23 Jul 2023 13:05:28 +0000

In the realm of Android development, where time is a precious gem, one must strive for utmost efficiency. As a discerning developer, you desire to optimize your workflow and reduce redundant tasks to an exquisite minimum. Fear not, Android Studio’s Live Templates are here to bestow upon you the power to create custom code snippets that effortlessly adorn your projects with unparalleled elegance and swiftness. In this opulent blog post, we shall embark on a journey through the realms of adding and utilizing live templates in Android Studio while providing you with a curated selection of magnificent template ideas that will revolutionize your productivity.

Section 1: Indulge in the Splendor of Live Templates

Enveloped within the embrace of Android Studio lie opulent built-in templates crafted specifically for keywords and commonly used code patterns. These resplendent treasures exist to save you from repetitious endeavors by seamlessly auto-completing declarations, method calls, and more. Marvel at the majesty of templates such as const, fun0, ifn, and todo. However, should your discerning palate require further customization, fear not! The realm of custom templates awaits your artistic touch.

Section 2: Adding a Dash of Opulence — Custom Templates

To add a new template in the grand halls of Android Studio, navigate through File > Settings > Editor > Live Templates. Behold! With a mere click upon the “+” icon nestled in the regal corner above, you may summon forth new groups or gracefully add templates to existing categories. Take heed! It is worth immersing oneself in the vibrant tapestry of preexisting templates offered by Android Studio; for they may already satisfy some of your exquisite desires.

// Custom Template Example
private const val TAG = "$CLASS_NAME$"
// Explanation: This template declares a private constant variable with the TAG pattern commonly used for logging in Android. It can be customized by replacing $CLASS_NAME$ with the desired class name.

Section 3: The Masterful Composition — Anatomy of a Live Template

Each live template embodies a harmonious union of an abbreviation and its accompanying template text. The abbreviation, a resplendent gem among your code, serves as the enchanting summoning spell for invoking the desired template. Choose an abbreviation that is both memorable and effortlessly woven into the tapestry of your code. The template text, a manifestation of exquisite craftsmanship, brings forth the very essence of your desired code snippet.

// Live Template Example
logd("$MESSAGE$")
// Explanation: This live template creates a log statement using the `logd` method, which is an abbreviation for "Log.d". When invoked, it prompts you to provide a custom message by typing $MESSAGE$, allowing for dynamic logging without repetitive typing.

Section 4: Customization Fit for Royalty — Variables in Templates

Live templates offer you the regal privilege of customization through the introduction of variables. These elegant constructs allow you to tailor your code snippets with ease and grace. Simply employ the $...$ syntax to define custom inputs that shall adorn your creations. Should you bestow upon these variables identical names, their essence shall be shared amongst multiple instances of grandeur. And lo! Witness how expressions bring forth further sophistication by adding functionality such as generating class names, dates, and suggesting variable names.

// Custom Variable Example
private const val $VARIABLE_NAME$ = "$DEFAULT_VALUE$"
// Explanation: This custom variable allows you to quickly declare private constants with customizable names ($VARIABLE_NAME$) and default values ($DEFAULT_VALUE$).

Section 5: Unveiling Advanced Behaviors and Expressions

Prepare yourself to bask in the brilliance of Android Studio’s Live Templates, where advanced behaviors and expressions serve as jewels adorning the crown atop your coding journey. Immerse yourself in opulent delights such as blockCommentStart and blockCommentStop, granting you mastery over commenting blocks of code with flair (fit for royalty). Revel in the elegance provided by capitalize and camelCase, bestowing grandeur upon variable names. Behold the majesty of suggestVariableName, gracefully suggesting fitting names for variables based on input.

// Advanced Expression Example
private val $VAR_NAME$ = "${fileName}Utils"
// Explanation: This expression suggests a variable name based on the current file name. It dynamically generates a CamelCase name by using the "fileName" expression. For example, if the file is named "MyClass.kt", it will suggest "MyClassUtils".

Section 6: A Glimpse at Magnificent Template Ideas

As we traverse the realms of programming excellence, consider these refined ideas that have graced many developers with unparalleled efficiency:

MutableStateFlow and StateFlow

Create a template for declaring mutable state flows and their corresponding state flows in one go. This is especially useful when working with Jetpack Compose.

// Template Example
private val _$StateFlow$: MutableStateFlow<$StateType$> = MutableStateFlow($StateDefault$)
val $StateFlow$ = _$StateFlow.asStateFlow()
// Explanation: This template allows you to quickly declare a mutable state flow ($_STATEFLOW$) and its corresponding state flow ($STATEFLOW$) with customizable types ($STATETYPE$, $STATEDEFAULT$).

Hilt ViewModel State

Generate the boilerplate code for creating a Hilt ViewModel with a state using MVI architecture.

// Template Example
@HiltViewModel
class $VmName$ViewModel @Inject constructor($Parameters$) : ViewModel() {
    private val _$StateName$State: MutableStateFlow<$StateType$> = MutableStateFlow($StateDefault$)
    val $StateName$State = _$StateName.asStateFlow()
// Explanation: This template creates the necessary code for a Hilt ViewModel ($VMNAME$) with an associated state flow ($STATENAME$STATE) using MVI architecture. Customize the constructor and state type as needed.

Scoped Coroutine Function in ViewModel

Add a template for creating scoped coroutine functions within ViewModels. This is useful when defining methods that are scoped to specific coroutine contexts defined by dispatchers.

// Template Example
private fun $MethodName$() = viewModelScope.launch(Dispatchers.$Dispatcher$) {
    Log.i(TAG, "$MethodName$: invoked")
    $END$
}
// Explanation: This template generates a scoped coroutine function within a ViewModel, allowing you to easily define methods that are executed within specific coroutine contexts defined by dispatchers ($DISPATCHER$). Customize the method name as desired.

Section 7: Exporting and Sharing Templates

To export your custom templates or import templates from other sources, you can go to File > Manage IDE Settings > Export/Import Settings. This allows you to easily transfer your templates between different projects or share them with other developers.

Section 8: Conclusion

Android Studio’s Live Templates are an exquisite toolset that can significantly elevate your Android development experience. Creating custom code snippets imbued with elegance and efficiency allows you to streamline your workflow and eliminate redundant tasks. Embrace the realm of opulence offered by live templates, and watch as your productivity soars to new heights. Your coding journey shall be transformed into an enchanting tapestry of efficiency and creativity!

Section 9: Additional Resources:

Unveiling the Elegance of Kotlin Delegates: Elevate Your Code to Unparalleled Levels of Sophistication

Manoj Pedvi — Sun, 23 Jul 2023 12:52:02 +0000

Introduction

In the realm of Kotlin programming, there exists a hidden gem known as delegates. These delegates possess an exquisite power to transform your code into a symphony of elegance, simplifying complexity and bestowing a touch of opulence. In this opulent blog post, we shall embark on a journey to unravel the enchanting world of Kotlin delegates, exploring their breathtaking capabilities and reveling in the sheer luxury of their implementation.

What are Kotlin Delegates?

Ah, dear reader, let us embark on this majestic exploration by delving into the very essence of Kotlin delegates. In this realm, delegates are veritable conduits, enabling the delegation of property implementation to another entity. In simpler terms, delegates allow us to bestow the responsibility of getter and setter methods upon a separate class, casting away the shackles of repetitive code. This divine mechanism promotes the noble virtues of code reuse, separation of concerns, and the sacred art of modular design.

Delegates in Action

Now, let us step into a world adorned with code snippets, where the true magnificence of Kotlin delegates shall be revealed.

1. Lazy Delegates: Indulge in Laziness

Imagine, dear reader, a property that is brought to life only when first sought after, a property that embodies the very essence of laziness. With the luxurious lazy delegate, such a property can be summoned into existence with unparalleled elegance. Behold:

val expensiveObject: ExpensiveObject by lazy {
    // Indulge in the luxurious initialization of the expensive object
    ExpensiveObject()
}

In this resplendent snippet, we behold the declaration of the expensiveObject property, adorned with the lazy delegate. The sumptuous initialization within the curly braces shall be executed only upon the first access of the property. This opulence is particularly delightful when dealing with ostentatious operations or hefty resources.

2. Observable Delegates: Witness the Symphony of Change

Dear reader, imagine being able to listen to the whispers of change in a property, to dance with delight as its value metamorphoses. With the enchanting ObservableProperty delegate from the Kotlin standard library, this dream becomes a tantalizing reality. Gaze upon this spectacle:

var name: String by Delegates.observable("") { _, oldName, newName ->
    println("A grand transformation has occurred! The name has changed from $oldName to $newName")
}

In this mesmerizing code snippet, the name property is graced with the observable delegate. Whenever the value of name undergoes a profound transformation, the lambda expression is summoned into existence, revealing the old and new values. Here lies the key to custom logic and the orchestration of symphonies within your code.

3. Map Delegates: The Tapestry of Property Mapping

Ah, dear reader, imagine a realm where properties are woven into a tapestry of maps, where the manipulation of data becomes a sight to behold. Enter the captivating world of map delegates, where properties are bestowed upon entries within a Map object, rendering data access and manipulation a marvel of convenience. Behold:

class User(val map: Map<String, Any>) {
    val name: String by map
    val age: Int by map
}

val user = User(mapOf("name" to "John Doe", "age" to 25))
println(user.name) // Ah, behold! The name emerges: John Doe
println(user.age) // And lo, the age is revealed: 25

In this resplendent code, the User class adorns itself with map delegates, gracefully assigning properties from a Map object. Henceforth, the properties may be accessed directly, as if they were esteemed members of the class.

4. Custom Delegates: Unleash the Power of Customization

Dear reader, let us now venture into a realm of boundless creativity and customization. Kotlin bestows upon us the power to create custom delegates, where the very essence of property behavior can be sculpted to our desires. Witness this spectacle:

class UpperCaseDelegate {
    private var value: String = ""

    operator fun getValue(thisRef: Any?, property: KProperty<*>): String {
        return value.toUpperCase()
    }

    operator fun setValue(thisRef: Any?, property: KProperty<*>, newValue: String) {
        value = newValue.toUpperCase()
    }
}

class Person {
    var name: String by UpperCaseDelegate()
}

val person = Person()
person.name = "John Doe"
println(person.name) // Ah, behold! The name is transformed: JOHN DOE

In this resplendent code snippet, we unleash the power of custom delegates, fashioning a delegate known as UpperCaseDelegate. This exquisite delegate adorns the assigned value with regal uppercasing, both when retrieving and setting the property. By adorning the name property of the Person class with this custom delegate, we ensure that the name is forever stored and retrieved in an elevated state of uppercase grandeur.

Conclusion

Dear reader, Kotlin delegates are a grand tapestry through which your code shall ascend to unprecedented heights of sophistication. They grant you the divine power to simplify complexity, to reduce the burden of repetitive code, and to create a symphony of elegance within your programs. Whether you seek the indulgence of laziness, the orchestration of change, the marvels of property mapping, or the boundless power of customization, Kotlin delegates shall be your steadfast companions. Embrace this opulent gift bestowed upon you and elevate your code to unparalleled levels of sophistication. May your programming journey be adorned with elegance and your code resonate with the grandeur of Kotlin delegates.