End python что это

End python что это

By default Python‘s print() function ends with a newline. A programmer with C/C++ background may wonder how to print without a newline. Python’s print() function comes with a parameter called ‘end‘. By default, the value of this parameter is ‘\n’, i.e. the new line character.

Example 1:

Here, we can end a print statement with any character/string using this parameter.

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Output:

Example 2:

One more program to demonstrate the working of the end parameter.

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Output:

Example 3:

The print() function uses the sep parameter to separate the arguments and ends after the last argument.

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Output

Using end to concatenate strings:

In this example, we use the end parameter to concatenate the two print() statements into a single line of output. The end parameter is set to a space character ” ” for the first print() statement, so the second print() statement will start on the same line, separated by a space character.

The end parameter is a useful feature of the print() function in Python that can be used to control the formatting of output in various ways.

3. An Informal Introduction to Python¶

In the following examples, input and output are distinguished by the presence or absence of prompts ( >>> and … ): to repeat the example, you must type everything after the prompt, when the prompt appears; lines that do not begin with a prompt are output from the interpreter. Note that a secondary prompt on a line by itself in an example means you must type a blank line; this is used to end a multi-line command.

You can toggle the display of prompts and output by clicking on >>> in the upper-right corner of an example box. If you hide the prompts and output for an example, then you can easily copy and paste the input lines into your interpreter.

Many of the examples in this manual, even those entered at the interactive prompt, include comments. Comments in Python start with the hash character, # , and extend to the end of the physical line. A comment may appear at the start of a line or following whitespace or code, but not within a string literal. A hash character within a string literal is just a hash character. Since comments are to clarify code and are not interpreted by Python, they may be omitted when typing in examples.

3.1. Using Python as a Calculator¶

Let’s try some simple Python commands. Start the interpreter and wait for the primary prompt, >>> . (It shouldn’t take long.)

3.1.1. Numbers¶

The interpreter acts as a simple calculator: you can type an expression at it and it will write the value. Expression syntax is straightforward: the operators + , — , * and / work just like in most other languages (for example, Pascal or C); parentheses ( () ) can be used for grouping. For example:

The integer numbers (e.g. 2 , 4 , 20 ) have type int , the ones with a fractional part (e.g. 5.0 , 1.6 ) have type float . We will see more about numeric types later in the tutorial.

Division ( / ) always returns a float. To do floor division and get an integer result you can use the // operator; to calculate the remainder you can use % :

With Python, it is possible to use the ** operator to calculate powers 1:

The equal sign ( = ) is used to assign a value to a variable. Afterwards, no result is displayed before the next interactive prompt:

If a variable is not “defined” (assigned a value), trying to use it will give you an error:

There is full support for floating point; operators with mixed type operands convert the integer operand to floating point:

In interactive mode, the last printed expression is assigned to the variable _ . This means that when you are using Python as a desk calculator, it is somewhat easier to continue calculations, for example:

This variable should be treated as read-only by the user. Don’t explicitly assign a value to it — you would create an independent local variable with the same name masking the built-in variable with its magic behavior.

In addition to int and float , Python supports other types of numbers, such as Decimal and Fraction . Python also has built-in support for complex numbers , and uses the j or J suffix to indicate the imaginary part (e.g. 3+5j ).

3.1.2. Strings¶

Besides numbers, Python can also manipulate strings, which can be expressed in several ways. They can be enclosed in single quotes ( ‘. ‘ ) or double quotes ( ". " ) with the same result 2. \ can be used to escape quotes:

In the interactive interpreter, the output string is enclosed in quotes and special characters are escaped with backslashes. While this might sometimes look different from the input (the enclosing quotes could change), the two strings are equivalent. The string is enclosed in double quotes if the string contains a single quote and no double quotes, otherwise it is enclosed in single quotes. The print() function produces a more readable output, by omitting the enclosing quotes and by printing escaped and special characters:

If you don’t want characters prefaced by \ to be interpreted as special characters, you can use raw strings by adding an r before the first quote:

There is one subtle aspect to raw strings: a raw string may not end in an odd number of \ characters; see the FAQ entry for more information and workarounds.

String literals can span multiple lines. One way is using triple-quotes: """. """ or »’. »’ . End of lines are automatically included in the string, but it’s possible to prevent this by adding a \ at the end of the line. The following example:

produces the following output (note that the initial newline is not included):

Strings can be concatenated (glued together) with the + operator, and repeated with * :

Two or more string literals (i.e. the ones enclosed between quotes) next to each other are automatically concatenated.

This feature is particularly useful when you want to break long strings:

This only works with two literals though, not with variables or expressions:

If you want to concatenate variables or a variable and a literal, use + :

Strings can be indexed (subscripted), with the first character having index 0. There is no separate character type; a character is simply a string of size one:

Indices may also be negative numbers, to start counting from the right:

Note that since -0 is the same as 0, negative indices start from -1.

In addition to indexing, slicing is also supported. While indexing is used to obtain individual characters, slicing allows you to obtain substring:

Slice indices have useful defaults; an omitted first index defaults to zero, an omitted second index defaults to the size of the string being sliced.

Note how the start is always included, and the end always excluded. This makes sure that s[:i] + s[i:] is always equal to s :

One way to remember how slices work is to think of the indices as pointing between characters, with the left edge of the first character numbered 0. Then the right edge of the last character of a string of n characters has index n, for example:

The first row of numbers gives the position of the indices 0…6 in the string; the second row gives the corresponding negative indices. The slice from i to j consists of all characters between the edges labeled i and j, respectively.

For non-negative indices, the length of a slice is the difference of the indices, if both are within bounds. For example, the length of word[1:3] is 2.

Attempting to use an index that is too large will result in an error:

However, out of range slice indexes are handled gracefully when used for slicing:

Python strings cannot be changed — they are immutable . Therefore, assigning to an indexed position in the string results in an error:

If you need a different string, you should create a new one:

The built-in function len() returns the length of a string:

Strings are examples of sequence types, and support the common operations supported by such types.

Strings support a large number of methods for basic transformations and searching.

String literals that have embedded expressions.

Information about string formatting with str.format() .

The old formatting operations invoked when strings are the left operand of the % operator are described in more detail here.

3.1.3. Lists¶

Python knows a number of compound data types, used to group together other values. The most versatile is the list, which can be written as a list of comma-separated values (items) between square brackets. Lists might contain items of different types, but usually the items all have the same type.

Like strings (and all other built-in sequence types), lists can be indexed and sliced:

All slice operations return a new list containing the requested elements. This means that the following slice returns a shallow copy of the list:

Lists also support operations like concatenation:

Unlike strings, which are immutable , lists are a mutable type, i.e. it is possible to change their content:

You can also add new items at the end of the list, by using the append() method (we will see more about methods later):

Assignment to slices is also possible, and this can even change the size of the list or clear it entirely:

The built-in function len() also applies to lists:

It is possible to nest lists (create lists containing other lists), for example:

3.2. First Steps Towards Programming¶

Of course, we can use Python for more complicated tasks than adding two and two together. For instance, we can write an initial sub-sequence of the Fibonacci series as follows:

This example introduces several new features.

The first line contains a multiple assignment: the variables a and b simultaneously get the new values 0 and 1. On the last line this is used again, demonstrating that the expressions on the right-hand side are all evaluated first before any of the assignments take place. The right-hand side expressions are evaluated from the left to the right.

The while loop executes as long as the condition (here: a < 10 ) remains true. In Python, like in C, any non-zero integer value is true; zero is false. The condition may also be a string or list value, in fact any sequence; anything with a non-zero length is true, empty sequences are false. The test used in the example is a simple comparison. The standard comparison operators are written the same as in C: < (less than), > (greater than), == (equal to), <= (less than or equal to), >= (greater than or equal to) and != (not equal to).

The body of the loop is indented: indentation is Python’s way of grouping statements. At the interactive prompt, you have to type a tab or space(s) for each indented line. In practice you will prepare more complicated input for Python with a text editor; all decent text editors have an auto-indent facility. When a compound statement is entered interactively, it must be followed by a blank line to indicate completion (since the parser cannot guess when you have typed the last line). Note that each line within a basic block must be indented by the same amount.

The print() function writes the value of the argument(s) it is given. It differs from just writing the expression you want to write (as we did earlier in the calculator examples) in the way it handles multiple arguments, floating point quantities, and strings. Strings are printed without quotes, and a space is inserted between items, so you can format things nicely, like this:

The keyword argument end can be used to avoid the newline after the output, or end the output with a different string:

Since ** has higher precedence than — , -3**2 will be interpreted as -(3**2) and thus result in -9 . To avoid this and get 9 , you can use (-3)**2 .

Unlike other languages, special characters such as \n have the same meaning with both single ( ‘. ‘ ) and double ( ". " ) quotes. The only difference between the two is that within single quotes you don’t need to escape " (but you have to escape \’ ) and vice versa.

Python end (end=) Parameter in print()

This article is created to cover an interesting topic in Python: the «end» parameter of print(). Many Python programs use the end (end=). As a result, we must comprehend it.

The end parameter is used to change the default behavior of the print() statement in Python. That is, since print() automatically inserts a newline after each execution. As a result, using the end can cause this to change. The end parameter is sometimes used to customize the output console.

Benefits of the end parameter in Python

We can use «end» to skip the insertion of an automatic newline. But we can also use it to insert one, two, or multiple newlines using a single «print().» The examples given below show the use of «end» in every aspect.

Python end Parameter Syntax

Because «end» is a parameter of the print() statement or function, its syntax is not unique. That is, the syntax to use «end» looks like this:

Inside the double quote, you can insert whatever you want, according to your needs, such as a space, no space, comma, newline (‘\n’), etc.

Python end parameter example

This section includes a few examples that will help you fully understand the topic. Let’s start with a very basic one, given below.

end parameter without a space or newline

This program employs «end,» which results in no space and no newline.

The above program produces the output shown in the snapshot given below:

parameter ending with a space and no newline

The program given below shows how to add a single or multiple spaces with no newline in a Python program:

The snapshot given below shows the sample output produced by the above program:

end parameter with a comma, a space, and no newline

This is the third example of a program with an «end» parameter. This program demonstrates how to use «end» to add multiple items:

This program produces:

Note: Basically, whatever you provide inside the double quote of end=»». You will get the respective output.

end parameter with one, two, or multiple newlines

Since the print() statement, by default, always inserts and prints a single newline, but using «end» as its parameter, we can change this to print the required number of newlines, as shown in the program given below:

Now the output produced by this Python program is exactly the same as shown in the snapshot given below:

You can also put some message or content for print() inside its «end» parameter, like shown in the program given below:

This program produces the same output as the previous program’s output.

Putting everything from print() inside the end parameter

You can also put all the things inside the «end,» like shown in the program given below:

Again, this program produces the same output as the second previous program.

Note: Basically, the «end» parameter of print() forces it not to automatically insert a newline.

end parameter provides interactive output for user input

This type of program, where the «end» parameter is used when asking the user to enter some inputs, may be seen a lot of times to receive the input on the same line, where the asking message is written as shown in the program given below:

Here is its sample run with user input codescracker:

To print list items in a single line, use the end parameter

This is the task, where we almost want to use «end» every time. Because when we’ve a list of large number of elements, then it takes large number of lines, that looks weird sometime. As a result, we can use «end» to modify it as shown in the program below:

sep, end, and flush

In Python 3, print() is now a function and uses arguments to control its output. In this lesson, you’ll learn about the sep , end , and flush arguments.

By default, print() inserts a space between the items it is printing. You can change this by using the sep parameter:

Unless told otherwise, print() adds a \n at the end of what is being printed. This can be changed with the end parameter. Output from print() goes into a buffer. When you change the end parameter, the buffer no longer gets flushed. To ensure that you get output as soon as print() is called, you also need to use the flush=True parameter:

You can combine sep and end to create lists, CSV output, bulleted lists, and more.