Course Intermediate 10916
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 16867
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 10586
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.
MySQL issues when summarizing sales data from two separate tables
2024-04-04 14:22:13 0 2 379
Ways to fix issue 2003 (HY000): Unable to connect to MySQL server 'db_mysql:3306' (111)
2023-09-05 11:18:47 0 1 679
Experiment with sorting after query limit
2023-09-05 14:46:42 0 1 597
CSS Grid: Create new row when child content overflows column width
2023-09-05 15:18:28 0 1 517
PHP full text search functionality using AND, OR and NOT operators
2023-09-05 15:06:32 0 1 462
Course Introduction:今天开始总结一下oracle不使用索引的原因有哪些。一边学习一边做笔记。聚簇因子是衡量索引列数据顺序与表字段数据顺序相似性的一
2016-06-07 comment 0 1437
Course Introduction:最近使用oracle导入导出数据时,遇到了不少的麻烦!遂对oracle数据库进行了认真的学习,总结了几种导入导出的命令方法,以备以后
2016-06-07 comment 0 1097
Course Introduction:Nested Dictionary A nested dictionary is a data structure that uses one dictionary as the value of another dictionary. This allows you to create complex data structures, organizing data into hierarchies. For example, you can create a dictionary to store student information, where each student's dictionary contains information such as name, student ID, and grades. students={"Alice":{"name":"AliceSmith","id":12345,"grades":[90,85,95]},"Bob":{"name":"BobJones","id ":23456,"grades":[80,90,85]}} To access values in nested dictionaries, you can use the dot operator (.).
2024-02-23 comment 0 975
Course Introduction:A Python dictionary is an unordered data structure that allows users to access specific data items using index values (keys). Unlike lists, data items in dictionaries are accessed by index value rather than position. This makes dictionaries very efficient for storing and retrieving data, especially when quick access to specific data items is required. In machine learning, dictionaries can be used to build various types of models. Here are some common applications: Feature Engineering: Feature engineering is a key step in machine learning that involves converting raw data into a form that the model can understand. Dictionaries can be used to store the name and value of each feature and can be easily used for data preprocessing and feature selection tasks. Sample code: #Create a dictionary to store feature names and values fea
2024-02-23 comment 0 1108
Course Introduction:Python is a powerful programming language with a wide range of application scenarios. If you have mastered the basics of Python, now is the time to start learning more. This article will introduce a roadmap for advanced learning of Python, helping you to systematically improve your Python programming skills from novice to expert. 1. Python data structure Python data structure is the basis of Python programming, including lists, tuples, dictionaries, sets, etc. You need to master the use of these data structures and be able to flexibly apply them to solve programming problems. #List my_list=[1,2,3]#Tuple my_tuple=(1,2,3)#Dictionary my_dict={"a":1,"b"
2024-02-20 comment 0 1167