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This article mainly explains "what skills Python can write better code", the content of the explanation is simple and clear, easy to learn and understand, the following please follow the editor's ideas slowly in depth, together to study and learn "what skills Python can write better code" bar!

Technique 01-multiple assignment of variables

Python allows us to assign values to multiple variables in a row. You can separate variables with commas. Front-line multitasking has many advantages. It can be used to assign multiple values to multiple variables or to assign multiple values to a single variable name. Let's make a problem statement, where we must assign values 50 and 60 to variables an and b. The general code is as follows.

A = 50 b = 60 print (a) print (type (a)) print (type (b))

Output quantity

50 60

Condition I-value equals variable

When a variable is equal to multiple assignments, each value is stored in all variables.

Print (type (a)) print (type (b))

Output quantity

50 60

The two programs give the same result. This is the benefit of using a row value allocation.

Conditional II- value is greater than variable

Let's try to increase the number of values in the previous program. You can assign multiple values to a single variable. When assigning multiple values to a variable, we must use an asterisk before the variable name.

A, * b = 50,60,70 print (a) print (b) print (type (a)) print (type (b))

Output quantity

50 [60, 70]

The first value is assigned to the first variable. The second variable will collect the value from the given value. This creates a list type object.

Conditional III- multivariable one value

We can assign a value to multiple variables. Each variable will be separated by an equal sign.

A = b = c = 50 print (a meme bjorc) print (type (a)) print (type (b)) print (type (c))

Output quantity

50 50 50

Tip 02-swap two variables

Exchange is the process of exchanging the values of two variables with each other. This can be useful in many operations in computer science. Here, I have written two main methods for programmers to exchange values and the best solution.

Method I-use temporary variables

This method uses temporary variables to store some data. The following code is written using temporary variable names.

A print b = 50,60 print (ameme b) temp= axiom b # averse 50 baked 50 temp=110 b = a # averse 50 baked 50 temp=110 a = temp-b # averse 60 baked 50 temp=110 print ("After swapping:", aPermian b)

Output quantity

50 60 After swapping: 60 50

Method II- does not use temporary variables

The following code swaps variables without using temporary variables.

A print b = 50,60 print (aMagneb) a = aquib # averse 110 baud 60 b = a Mui b # aqu 110 bang 50 a = a Mui b # ahe 60 baked 50 print ("After swapping:", aMagneb)

Output quantity

50 60 After swapping: 60 50

Methods the excellent solution in III-Python

This is another way to exchange variables using python. In the previous section, we learned about multiple assignments. We can use the concept of exchange.

A print b = 50,60 print (a minute b) a print b = b ("After swapping", a line b)

Output quantity

50 60 After swapping 60 50

Tip 03-reverse string

There is another cool technique for reversing strings in python. The concept used to reverse a string is called string slicing. You can reverse any string after the variable name with the symbol [::-1].

My_string = "MY STRING" rev_string = my_string [:-1] print (rev_string)

Output quantity

GNIRTS YM

Tip 04-split words on a line

You don't need a special algorithm to split a word into a line. To do this, we can use the keyword split (). Here, I wrote two ways to segment words.

Method 1-use iteration

My_string = "This is a string in Python" start= 0 end= 0 my_list = [] for x in my_string: end=end+1 if (end'): my_list.append (my_ string [start: end+1]) start=end+1 my_list.append (my_ string [start: end+1]) print (my_list)

Output quantity

['This','is','a', 'string','in', 'Python']

Method II- uses the segmentation function

My_string = "This is a string in Python" my_list = my_string.split ('') print (my_list)

Output quantity

['This','is','a', 'string','in', 'Python']

Tip 05-arrange the list of words in one line

This is the opposite of the previous process. In this section, we will use the join function to convert the word list to a single line. The syntax for using the join function is given below.

Syntax: "" .join (string)

My_list = ['This',' is','a', 'string',' in', 'Python'] my_string = "" .join (my_list)

Output quantity

This is a string in Python

Tip 06-print strings multiple times

We can use the multiplication operator to print the string multiple times. This is a very effective way to repeat strings.

N = int (input ("How many times you need to repeat:")) my_string = "Python\ n" print (my_string*n)

Output quantity

How many times you need to repeat:3 PythonPythonPython

Tip 07-concatenate two strings using the addition operator

You can concatenate various strings without using the join function. We can do this using only the addition operator (+).

A = "I Love" b = "Python" print (aqb)

Output quantity

I Love Python

Tip 08-multiple conditional operators

Two can combine two or more conditional operators in a program, and we can use logical operators. However, the same result can be obtained through the linking operator. For example, if we needed to print something when the value of the variable was greater than 10 and less than 20:00, the code would look like the following.

A = 15 if (a > 10 and a 20 then age = 25, print ("czz") else print ("unqualified")

Output quantity

Qualified

Tip 15-derive expressions using Python lists

List derivation expressions are a very compact way to create a list from another list. Look at the code below. The first is written using simple iterations, and the second is understood using lists.

Square_list = [] for x in range (1m 10): temp = Xerox 2 square_list.append (temp) print (square_list)

Output quantity

[1, 4, 9, 16, 25, 36, 49, 64, 81]

Derive expressions using lists

Square_list = [xylene 2 for x in range (1meme 10)] print (square_list)

Output quantity

[1, 4, 9, 16, 25, 36, 49, 64, 81]

Tip 16-convert a variable to an immutable item

The function frozenset () is used to convert a mutable iterable object into an immutable object. Using this method, we can freeze the value changes of the object.

My_list = [1 print 2 3 Jing 4 Jing 5] my_list = frozenset (my_list) my_list [3] = 7 print (my_list)

Output quantity

Traceback (most recent call last): File "", line 3, in TypeError: 'frozenset' object does not support item assignment

When we apply the frozenset () function to the list, the project allocation is limited.

Tip 17-rounding with floor and Ceil

Floor and Ceil are mathematical functions that can be used for floating-point numbers. The integer returned by the floor function is less than the floating-point number, while the integer returned by the ceil function is greater than the floating-point number. To use this feature, we must import the math module.

Import math my_number = 18.7print (math.floor (my_number)) print (math.ceil (my_number))

Output quantity

1819

Tip 18-return Boolean values

Sometimes we have to return a Boolean value by checking the conditions of some parameters. Instead of writing an if statement, we can return the condition directly. The following program will produce the same output.

Method I-use other conditions

Def function (n): if (n > 10): return True else: return False n = int (input ()) if (function (n): print ("Eligible") else: print ("Not Eligible")

Method II- has no other conditions

Def function (n): return n > 10 n = int (input ()) print ("Eligible") if function (n) else print ("Not Eligible")

Output quantity

Eligible

Tip 19-create a function one line

Lambda is an anonymous function in python that can be created on one line. The syntax for using the lambda function is given here.

Syntax: lambda parameter: expression

X = lambda a _ r _ c: a+b+c print (x _ (10 ~ m _ 20 ~ 30))

Output quantity

sixty

Tip 20-apply functionality to all elements in the list

Map is a high-order function that applies specific functionality to all elements in the list.

Syntax: map (function, iterable)

My_list = ["felix", "antony"] new_list = map (str.capitalize,my_list) print (list (new_list))

Output quantity

['Felix',' Antony']

Tip 21-use Lambda with map functionality

This function can be replaced with the lambda function in python. Create the following program to create the square of the list of numbers.

My_list = [1,2,3,4,5] new_list = map (lambda x: Xerox, my_list) print (list (new_list))

Output quantity

[1, 4, 9, 16, 25]

Tip 22-return multiple values from a function

The python function can return multiple values without any additional need. We can return values by separating them with commas.

Def function (n): return 1, 2, 2, 3, 3, 4, 3, 3, 4, 3, 3, 4, 3, 4, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4,

Output quantity

1 2 3 4

Tip 23-filter values using the filter function

The filter function is used to filter some values in iterable objects. The syntax for the filter function is as follows.

Syntax: filter (function, iteration)

Def eligibility (age): return age > = 24 list_of_age = [10, 24, 27, 33, 30, 18, 17, 21, 26, 25] age = filter (eligibility, list_of_age) print (list (age))

Output quantity

[24, 27, 33, 30, 26, 25]

Tip 24-merge two dictionaries with Python

In python, we can merge two dictionaries without any specific method. The following code is an example of merging two dictionaries.

Dict_1 = {'One':1,' Two':2} dict_2 = {'Two':2,' Three':3} dictionary = {* * dict_1, * * dict_2} print (dictionary)

Output quantity

{'One': 1,' Two': 2, 'Three': 3}

Tip 25-get the size of the object

The memory size varies depending on the type of object. We can use the getsizeof () function in the sys module to get the memory of the object.

Import sys a = 5 print (sys.getsizeof (a))

Output quantity

twenty-eight

Tip 26-combine two lists into a dictionary

The zip code function has many advantages in python. Using the zip function, we can create dictionaries from two lists.

List_1 = ["One", "Two", "Three"] list_2 = [1Mae 2Mae 3] dictionary = dict (zip (list_1, list_2)) print (dictionary)

Output quantity

{'Two': 2,' One': 1, 'Three': 3}

Tip 27-calculate the execution time of the program

Time is another useful module in python that can be used to calculate execution time.

Import time start = time.clock () for x in range (1000): pass end = time.clock () total = end-start print (total)

Output quantity

0.00011900000000000105

Tip 28-remove duplicate elements from the list

An element that occurs multiple times is called a repeating element. We can simply delete duplicate elements using type conversions.

My_list = [1, set, 4, 1, 8, 2, 8, 5] my_list = list (set (my_list)) print (my_list)

Output quantity

[8, 1, 2, 4, 5]

Tip 29-print monthly calendars with python

The calendar module has many functions related to date-based operations. We can use the following code to print the monthly calendar.

Import calendar print (calendar.month ("2020", "06"))

Output quantity

June 2020 Mo Tu We Th Fr Sa Su 12 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

Tip 30-iterate with the zip feature

The zip function allows you to iterate through multiple iterating processes using loops. In the following code, both lists are iterated at the same time.

List_1 = ['an in zip in zip (list_1, list_2): print (x Magi y)]

Output quantity

A 1b 2c 3 Thank you for your reading, the above is the content of "what skills Python can write better code". After the study of this article, I believe you have a deeper understanding of what skills Python can write better code, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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