This document discusses various techniques for profiling Django applications, including:
1. Using the Django debug toolbar to profile views and SQL queries.
2. Using cProfile and kernprof to profile Python code like Django commands and functions. This helps identify slow parts of code.
3. Benchmarking queries, bulk create operations, and the ORM to find performance bottlenecks in database interactions. Unittests on SQLite can also help profile code.
The Android manifest XML file is essential for every application, containing crucial information required by the Android system to run the application's code. It includes declarations for permissions, activities, and various components such as services and receivers, structured within a root manifest tag. One manifest file per application is mandatory, and it must specify application metadata, including its package name, version, and components like activities with intent filters.
This document contains an agenda for a presentation that includes topics such as exploit development, web application hacking methodology, SQLMap, vulnerability assessment, malware analysis, reverse engineering, and cybersecurity conferences. It also addresses frequently asked questions about capture the flag events, bug bounty programs, and security certifications. Resources like exploit code examples, tool documentation, hacking forums, and malware repositories are listed.
This document introduces Gradle basics for Android development. It covers setting up the Gradle environment, project structure, build configurations like flavors and build types. It also explains key Gradle concepts and tasks like settings.gradle, build.gradle, dependencies, variants. Basic Groovy syntax and how to customize tasks are also demonstrated.
The document discusses the new build system for Android using Gradle. It provides an overview of Gradle basics, plugins, and integration with Android Studio. It describes what Gradle is, why it is used, how to install it, and introduces its build script basics and Groovy language. It also covers the Gradle plugins for Java and Android projects, including tasks, dependencies, signing configs, product flavors, and build types.
This document outlines techniques for improving MATLAB code performance, including memory pre-allocation, vectorization, and efficient use of functions. It highlights the importance of using appropriate data types and offers resources for parallel processing and generating standalone C/C++ code from MATLAB. Additionally, it provides benchmark timings for various operations and recommends best practices for writing fast MATLAB code.
Android uses the Binder IPC mechanism for communication between processes. Binder allows for asynchronous remote procedure calls through a client-server model. It works by passing flat binder objects between processes using the binder driver in the kernel. Key aspects of Android IPC include Intents for asynchronous messaging, AIDL for synchronous RPCs across processes, and system services that are registered with the service manager.
1) Intents represent requests for actions to be performed, while Intent Filters register which app components can handle certain actions and types of data.
2) Broadcast receivers listen for broadcast intents and allow interaction between app components.
3) Intents are used to start activities, broadcast messages, and launch other apps like the Android Market. Intent Filters are required for intent resolution and matching intents to the correct components.
16. android.productFlavors { }
与此同时, Gradle会自动生成一个 BuildConfig 类, 包含当前选定
的 variant 的 applicationId, Debug开关, flavor, buildType, 版本等
public final class BuildConfig {
public static final boolean DEBUG = Boolean.parseBoolean("true");
public static final String APPLICATION_ID = "com.meizu.sample.basicdsl.free";
public static final String BUILD_TYPE = "debug";
public static final String FLAVOR = "free";
public static final int VERSION_CODE = 1;
public static final String VERSION_NAME = "1.0";
}
选择 Build Variant 一般在
Android Studio 左下角