The following built-in functions can be used for sequences (tables, fixed value tables, strings):
# s is a sequence
len(s) Returns: The number of elements contained in the sequence
min(s) Returns: The smallest element in the sequence
max(s) Returns: The largest element in the sequence
all(s) Returns: True, if all elements are True
any(s) Returns: True , if any element is True
The following method mainly functions as a query without changing the sequence itself, and can be used for tables and fixed value tables:
sum(s) Returns: the sum of all elements in the sequence
# x is the element value, i is the subscript (the position of the element in the sequence)
s.count(x) Returns: the number of times x appears in s
s.index(x) Returns: x is the first in s The subscript that appears
Since the elements of the fixed value table cannot be changed, the following method is only applicable to the table:
# l is a table, l2 is another table
l.extend(l2) in table l Add all elements of table l2 at the end
l.append(x) . l.pop() using using to use to through ’ ’ s ’ s ’ through ’ s ‐ . Affects the original table instead of returning a new table )
Here are some methods for strings. Although strings are a special type of constant value table, the string class has methods that mutate strings. The essence of these methods is not to operate on the original string, but to delete the original string and create a new string, so it does not conflict with the characteristics of the fixed value table.
#str is a string, sub is a substring of str. s is a sequence, and its elements are all strings. width is an integer used to describe the width of the newly generated string.
str.count(sub) Returns: the number of times sub appears in str
str.find(sub) Returns: Starting from the left, find the position where sub appears for the first time in str. If str does not contain sub, return -1
str.index(sub) Return: Starting from the left, find the position where sub first appears in str. If str does not contain sub, an error occurs.
str.rfind(sub) Returns: Starting from the right, find the position where sub first appears in str. If str does not contain sub, return -1
str.rindex(sub) Return: Starting from the right, find the position where sub first appears in str. If str does not contain sub, raise an error
str.isalnum() Return: True, if all characters are letters or numbers
str.isalpha() Return: True, if all characters are letters
str.isdigit() Returns: True, if all characters are numbers
str.istitle() Returns: True, if the first letters of all words are uppercase
str.isspace() Returns: True, If all characters are spaces
str.islower() Returns: True, if all characters are lowercase letters
str.isupper() Returns: True, if all characters are uppercase letters
str .split([sep, [max]]) Returns: Starting from the left, using spaces as separators, split str into multiple substrings, max times in total. Return the resulting substring in a table. You can use commas or other separators in the form of str.split(',')
str.rsplit([sep, [max]]) Return: Starting from the right, using spaces as the separator, split str into Multiple substrings, split max times in total. Return the resulting substring in a table. You can use commas or other separators in the form of str.rsplit(‘,’)
str.join(s) Return: Combine the elements in s into a string using str as the separator.
str.strip([sub]) Return: Remove the spaces at the beginning and end of the string. You can also provide the parameter sub to remove the sub at the beginning and end of the string
str.replace(sub, new_sub) Returns: Replace the sub in str with a new string new_sub
str.capitalize() Returns: Replace str The first letter is capitalized
str.lower() Returns: Change all letters of str to lowercase
str.upper() using ‐ ‐ use using ’ ’ s ’ s ’ s ‐ ‐ ‐ out out out out out through out through out using through out through out out through out out through out's'' ’ ‐ ‐ ‐ ‐‐ ‐‐‐‐ together's to ? Capitalize the first letter of the word (separated by spaces)
str.center(width) Returns: a string of length width, put the original string into the center of the string, and other empty positions are spaces.
str.ljust(width) Returns: a string with length width, put the original string into the string with left alignment, and leave other empty positions as spaces.
str.rjust(width) Returns: a string with length width. The original string is right-aligned and put into the string, and other empty positions are spaces.
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MySQL is an open source relational database management system, mainly used to store and retrieve data quickly and reliably. Its working principle includes client requests, query resolution, execution of queries and return results. Examples of usage include creating tables, inserting and querying data, and advanced features such as JOIN operations. Common errors involve SQL syntax, data types, and permissions, and optimization suggestions include the use of indexes, optimized queries, and partitioning of tables.

MySQL is an open source relational database management system suitable for data storage, management, query and security. 1. It supports a variety of operating systems and is widely used in Web applications and other fields. 2. Through the client-server architecture and different storage engines, MySQL processes data efficiently. 3. Basic usage includes creating databases and tables, inserting, querying and updating data. 4. Advanced usage involves complex queries and stored procedures. 5. Common errors can be debugged through the EXPLAIN statement. 6. Performance optimization includes the rational use of indexes and optimized query statements.

MySQL is chosen for its performance, reliability, ease of use, and community support. 1.MySQL provides efficient data storage and retrieval functions, supporting multiple data types and advanced query operations. 2. Adopt client-server architecture and multiple storage engines to support transaction and query optimization. 3. Easy to use, supports a variety of operating systems and programming languages. 4. Have strong community support and provide rich resources and solutions.

InnoDB's lock mechanisms include shared locks, exclusive locks, intention locks, record locks, gap locks and next key locks. 1. Shared lock allows transactions to read data without preventing other transactions from reading. 2. Exclusive lock prevents other transactions from reading and modifying data. 3. Intention lock optimizes lock efficiency. 4. Record lock lock index record. 5. Gap lock locks index recording gap. 6. The next key lock is a combination of record lock and gap lock to ensure data consistency.

The main reasons for poor MySQL query performance include not using indexes, wrong execution plan selection by the query optimizer, unreasonable table design, excessive data volume and lock competition. 1. No index causes slow querying, and adding indexes can significantly improve performance. 2. Use the EXPLAIN command to analyze the query plan and find out the optimizer error. 3. Reconstructing the table structure and optimizing JOIN conditions can improve table design problems. 4. When the data volume is large, partitioning and table division strategies are adopted. 5. In a high concurrency environment, optimizing transactions and locking strategies can reduce lock competition.

In database optimization, indexing strategies should be selected according to query requirements: 1. When the query involves multiple columns and the order of conditions is fixed, use composite indexes; 2. When the query involves multiple columns but the order of conditions is not fixed, use multiple single-column indexes. Composite indexes are suitable for optimizing multi-column queries, while single-column indexes are suitable for single-column queries.

To optimize MySQL slow query, slowquerylog and performance_schema need to be used: 1. Enable slowquerylog and set thresholds to record slow query; 2. Use performance_schema to analyze query execution details, find out performance bottlenecks and optimize.

MySQL and SQL are essential skills for developers. 1.MySQL is an open source relational database management system, and SQL is the standard language used to manage and operate databases. 2.MySQL supports multiple storage engines through efficient data storage and retrieval functions, and SQL completes complex data operations through simple statements. 3. Examples of usage include basic queries and advanced queries, such as filtering and sorting by condition. 4. Common errors include syntax errors and performance issues, which can be optimized by checking SQL statements and using EXPLAIN commands. 5. Performance optimization techniques include using indexes, avoiding full table scanning, optimizing JOIN operations and improving code readability.


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