High Performance Android Apps: Improve Ratings with Speed, - download pdf or read online

By Doug Sillars

Detailed and shrewdpermanent rules are vital while construction a hot-selling Android app, however the genuine drivers for achievement are pace, potency, and tool administration. With this functional advisor, you’ll study the most important functionality matters confronting Android app builders, and the instruments you want to diagnose difficulties early.

Customers are ultimately knowing that apps have a massive position within the functionality in their Android units. writer Doug Sillars not just indicates you ways to take advantage of Android-specific trying out instruments from businesses together with Google, Qualcomm, and AT&T, but in addition is helping you discover capability treatments. You’ll learn to construct apps that run good on all 19,000 Android machine forms in use.
Understand how functionality matters impact app revenues and retention
Build an Android machine lab to maximise UI, practical, and function testing
Improve the way in which your app interacts with equipment hardware
Optimize your UI for speedy rendering, scrolling, and animations
Track down reminiscence leaks and CPU matters that impact performance
Upgrade communications with the server, and find out how your app plays on slower networks
Apply actual consumer tracking (RUM) to make sure that each gadget is providing the optimum person event

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Additional info for High Performance Android Apps: Improve Ratings with Speed, Optimizations, and Testing

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It removes the one element and sets the head to NULL, indicating that the head was removed. Now take a look at the zero-element case. A zero-element list is simply a NULL pointer. If head is a NULL pointer, you would dereference a NULL pointer on line 1. To correct this, check whether head is a NULL pointer and be sure not to dereference it in this case. (*head) ){ temp = (*head)->next; delete *head; *head = temp; } } You have checked that the body of the function works properly, that the function is called correctly and returns values correctly, and that you have dealt with the error cases.

Each node is a C struct with the following definition: typedef struct Node { struct Node *next; struct Node *prev; struct Node *child; int value; } Node; This list-flattening problem gives you plenty of freedom. You have simply been asked to flatten the list. There are many ways to accomplish this task. Each way results in a one-level list with a different node ordering. Start by considering several options for algorithms and the node orders they would yield. Then implement the algorithm that looks easiest and most efficient.

Circularly-linked lists have no head or tail; instead, the elements are linked together to form a cycle. List operations are much simpler to perform on doubly-linked lists, so most interview problems use singly-linked lists. Typical operations include updating the head of the list, traversing the list to find a specific element from the end of the list, and inserting or removing list elements. Chapter 5: Trees and Graphs Trees and graphs are common data structures in programming, so they are both fair game in a programming interview.

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