Examples of Adapters usage in production apps?

Android, Adapters, RecyclerView, ListView, Custom Adapters, Production Apps, Android Development
This article highlights various examples of how Adapters are utilized in production Android apps to manage and display data effectively.
import android.view.LayoutInflater; import android.view.View; import android.view.ViewGroup; import android.widget.TextView; import androidx.annotation.NonNull; import androidx.recyclerview.widget.RecyclerView; import java.util.List; public class MyAdapter extends RecyclerView.Adapter { private List dataSet; public static class MyViewHolder extends RecyclerView.ViewHolder { public TextView textView; public MyViewHolder(View itemView) { super(itemView); textView = itemView.findViewById(R.id.textView); } } public MyAdapter(List dataSet) { this.dataSet = dataSet; } @NonNull @Override public MyViewHolder onCreateViewHolder(@NonNull ViewGroup parent, int viewType) { View view = LayoutInflater.from(parent.getContext()).inflate(R.layout.item_view, parent, false); return new MyViewHolder(view); } @Override public void onBindViewHolder(@NonNull MyViewHolder holder, int position) { holder.textView.setText(dataSet.get(position)); } @Override public int getItemCount() { return dataSet.size(); } }

Android Adapters RecyclerView ListView Custom Adapters Production Apps Android Development

Related Questions

How do I avoid rehashing overhead with std::set in multithreaded code?

How do I find elements with custom comparators with std::set for embedded targets?

How do I erase elements while iterating with std::set for embedded targets?

How do I provide stable iteration order with std::unordered_map for large datasets?

How do I reserve capacity ahead of time with std::unordered_map for large datasets?

How do I erase elements while iterating with std::unordered_map in multithreaded code?

How do I provide stable iteration order with std::map for embedded targets?

How do I provide stable iteration order with std::map in multithreaded code?

How do I avoid rehashing overhead with std::map in performance-sensitive code?

How do I merge two containers efficiently with std::map for embedded targets?