Course Intermediate  10974

Course Introduction："Self-study IT Network Linux Load Balancing Video Tutorial" mainly implements Linux load balancing by performing script operations on web, lvs and Linux under nagin.

Course Advanced  17038

Course Introduction："Shangxuetang MySQL Video Tutorial" introduces you to the process from installing to using the MySQL database, and introduces the specific operations of each link in detail.

Course Advanced  10735

Course Introduction："Brothers Band Front-end Example Display Video Tutorial" introduces examples of HTML5 and CSS3 technologies to everyone, so that everyone can become more proficient in using HTML5 and CSS3.

Course Introduction：Proximal Policy Optimization (PPO) is a reinforcement learning algorithm designed to solve the problems of unstable training and low sample efficiency in deep reinforcement learning. The PPO algorithm is based on policy gradient and trains the agent by optimizing the policy to maximize long-term returns. Compared with other algorithms, PPO has the advantages of simplicity, efficiency, and stability, so it is widely used in academia and industry. PPO improves the training process through two key concepts: proximal policy optimization and shearing the objective function. Proximal policy optimization maintains training stability by limiting the size of policy updates to ensure that each update is within an acceptable range. The shear objective function is the core idea of ​​the PPO algorithm. It updates the strategy when

2024-01-24 comment 0  781

Course Introduction：As the amount of data continues to increase and the number of users continues to increase, databases have become an indispensable part of modern enterprises. Therefore, the improvement and optimization of database efficiency is crucial to the operation and development of enterprises. In the database optimization process, MySql optimization and SQL optimization are the two most common optimization strategies. MySQL is a widely used open source relational database management system. Its optimization strategy is mainly aimed at the MySql system itself, and SQL is a structured query language that is often used with various data

2023-06-15 comment 0  1273

Course Introduction：The performance of Java functions on the cloud platform can be improved by adopting cloud optimization strategies: create Java functions and deploy them; create cloud optimization strategies: set heap size and enable tiered compilation; assign strategies to functions; strategies can reduce latency and memory usage and optimize startup times, thereby improving function performance and reducing costs.

2024-04-30 comment 0  369

Course Introduction：Optimize PHP function efficiency: Key indicators: time complexity, memory complexity, call overhead optimization strategy: reduce unnecessary calculations, optimize data structures, limit function calls, use cache, concurrency and asynchronous processing

2024-04-23 comment 0  539

Course Introduction：Strategies for optimizing Java application performance include: Assessing application performance and identifying areas for improvement. Based on the benchmark results, select an optimization strategy, such as: Memory optimization Concurrency optimization I/O optimization JIT compilation optimization Practical case: Optimizing the I/O performance of a web application by using memory mapped files, asynchronous I/O and optimizing buffer sizes to fulfill. Other considerations: Consider code profiling, JVM parameter tuning, and continuous monitoring. Through these strategies, Java application performance can be significantly improved.

2024-06-01 comment 0  649