catalogue
1. Module
1.1 concept
Python module is a python file, which is written in py ends with Python object definitions and python statements. Modules can define functions, classes, variables, and can also contain executable code
1.2 import module
Mode 1:
import Module name (as alias) # Use module syntax: Module name(alias).function
Mode 2:
from Module name import Function name (as alias) # Use module syntax: function
Mode 3:
from Module name import * # Use module syntax: function
__ all__ List syntax:__ all__ = [function 1, function 2...]
Note: you can only import modules by using the from module name import *__ all__ Function modules in the list
2. Package
There will be a default file in the package__ init__.py file [controls the import of packages]
2.1 concept
Packages organize related modules together and put them in the same folder, which is called packages.
2.2 import package
Mode 1:
import Package name.Module name # call Package name.Module name.function import Package name.Module name as alias # call alias.function
Mode 2:
from Package name.Module name import Function name # call function from Module name import Function name as alias # call alias.function
Mode 3:
from Package name import * # call Module name.function
Note: you can__ init__. Add to py file__ all__ = Control module import allowed list
3. Documents
3.1 opening files
In Python, using the open() function, you can open an existing file or create a new file
# grammar f = open(name, mode,encoding="UTF-8") # The most used form # If the file does not exist, it is created automatically with open('a.txt','a',encoding='utf-8') as f: f.write("\nhello")
-- Name: is the string of the name of the target file to be opened (can include the specific path where the file is located)
-- mode: set the mode of opening the file (access mode), read-only read, write, append, binary binary, etc., mainly "r","w","a","b"
-- encoding: encoding method [if it is binary or other types of data, it is the default, and the encoding is not specially set]
3.2 close file: f.close()
3.3 document reading and writing
① Read:
-- read(num): num indicates the length of the data read from the file (in bytes). If num is not passed in, it means to read all the data in the file
-- readline(): only one line is read at a time, and '\ n' is returned
-- readlines(): read the entire file and return the list, one element at a time
② Write: write("content")
If you write an existing file, the original content in the file will be overwritten. At this time, you can use append to append the content
4. Abnormal
4.1 handling exceptions
① Catch specified exception type:
try: Possible error codes except Exception type: Code to execute if an exception occurs
② Catch multiple specified exceptions:
try: Possible error codes except (Exception type 1, exception type 2): Code to execute if an exception occurs
③ Catch all exceptions:
try: Possible error codes except Exception: Code to execute if an exception occurs
④ Exception capture information:
try: Possible error codes except Exception type as result: Code to execute if an exception occurs #result is the exception information
4.2 abnormal else
try: Possible error codes except Exception: Code to execute if an exception occurs else: Code executed when there are no exceptions
4.3 finally of exception
try: Possible error codes except Exception: Code to execute if an exception occurs else: Code executed when there are no exceptions finally: Code to execute whether there are exceptions or not
4.4 custom exception
① Custom class inherits Exception
Rewrite__ init__
Rewrite__ str__
Sets the description of the exception thrown
② Use [raise custom exception class] to catch exceptions
Case: judge the length of the input string. If it is less than the specified length, an error will be reported
class ShortInputException(Exception): def __init__(self, length, least_length): super().__init__() self.length = length self.least_length = least_length def __str__(self): return 'The length you entered is:{},The minimum length is:{}'.format(self.length, self.least_length) try: content = input('Please enter the content:') if len(content) < 5: raise ShortInputException(len(content), 5) else: print('Meet the requirements') except ShortInputException as e: print(e) ''' Please enter the content:ASD The length you entered is:3,The minimum length is:5 '''
5. Higher order function
5.1 concept
Passing a function as a parameter into another function is called high-order function, which is the embodiment of functional programming
5.2 built in functions
abs(): find the absolute value of the number
round(): rounding of numbers
5.3 built in high-order function
①map()
map(func,lst): apply the passed in function variable func to each element of lst variable, and form a new list of results
Case: calculate the 2nd power of each number in lst sequence
func = lambda a:a*a # The map function receives several values and gives several values lst = [1,2,3,4,5,6,7,8] m = map(func,lst) # [1,4,9.....] for i in m: print(i)
②reduce()
reduce(func,lst), where func must have two parameters. The result of each func calculation continues to accumulate with the next element of the sequence
Note: before using the reduce() function, you must import the module functools
Case: calculate the cumulative sum of each number in lst sequence
from functools import reduce as r func = lambda a,b:a+b lst = [1,2,3,4,5,6,7,8] print(r(func,lst))
③filter()
The filter(func,lst) function is used to filter the sequence, filter out the elements that do not meet the conditions, and return a filter object, which can be converted into a list
Case: take out even numbers in lst sequence
lst = [1, 2, 3, 4, 5, 6, 7, 8] def func(n): if n % 2 == 0: return True return False f = filter(func, lst) for i in f: print(i)
That's all for today's study record. Bye!
Note: if there is any mistake in the learning record, please correct it. If there is any doubt, please comment