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Python Tutorials - Elevate You…
1. Introduction to Python
2. Features of Python
3. How to install python in windows
4. How to Install Python on macOS
5. Install Python on Linux
6. Hello World Program in Python
7. Python Variables
8. Global Variable in Python
9. Python Keywords and Identifiers
10. Assert Keyword in Python
11. Comments in Python
12. Escape Sequence in Python
13. Print In Python
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14. Python-if-else-statement
15. Python for Loop
16. Nested for loop in Python
17. While Loop in Python
18. Python’s do-while Loop
19. Break in Python
20. Break Pass and Continue Statement in Python
21. Python Try Except
22. Data Types in Python
23. Float in Python
24. String Methods Python
25. List in Python
26. List Methods in Python
27. Tuples in Python
28. Dictionary in Python
29. Set in Python
30. Operators in Python
31. Boolean Operators in Python
32. Arithmetic Operators in Python
33. Assignment Operator in Python
34. Bitwise operators in Python
35. Identity Operator in Python
36. Operator Precedence in Python
37. Functions in Python
38. Lambda and Anonymous Function in Python
39. Range Function in Python
40. len() Function in Python
41. How to Use Lambda Functions in Python?
42. Random Function in Python
43. Python __init__() Function
44. String Split function in Python
45. Round function in Python
46. Find Function in Python
47. How to Call a Function in Python?
48. Python Functions Scope
49. Method Overloading in Python
50. Method Overriding in Python
51. Static Method in Python
52. Python List Index Method
53. Python Modules
54. Math Module in Python
55. Module and Package in Python
56. OS module in Python
57. Python Packages
58. OOPs Concepts in Python
59. Class in Python
60. Abstract Class in Python
61. Object in Python
62. Constructor in Python
63. Inheritance in Python
64. Multiple Inheritance in Python
65. Encapsulation in Python
66. Data Abstraction in Python
67. Opening and closing files in Python
68. How to open JSON file in Python
69. Read CSV Files in Python
70. How to Read a File in Python
71. How to Open a File in Python?
72. Python Write to File
73. JSON Python
74. Python JSON – How to Convert a String to JSON
75. Python JSON Encoding and Decoding
76. Exception Handling in Python
77. Recursion in Python
78. Python Decorators
79. Python Threading
80. Multithreading in Python
81. Multiprocеssing in Python
82. Python Regular Expressions
83. Enumerate() in Python
84. Map in Python
85. Filter in Python
86. Eval in Python
87. Difference Between List, Tuple, Set, and Dictionary in Python
88. List to String in Python
89. Linked List in Python
90. Length of list in Python
91. Python List remove() Method
92. How to Add Elements in a List in Python
93. How to Reverse a List in Python?
94. Difference Between List and Tuple in Python
95. List Slicing in Python
96. Sort in Python
97. Merge Sort in Python
98. Selection Sort in Python
99. Sort Array in Python
100. Sort Dictionary by Value in Python
101. Datetime Python
102. Random Number in Python
103. 2D Array in Python
104. Abs in Python
105. Advantages of Python
106. Anagram Program in Python
107. Append in Python
108. Applications of Python
109. Armstrong Number in Python
110. Assert in Python
111. Binary Search in Python
112. Binary to Decimal in Python
113. Bool in Python
114. Calculator Program in Python
115. chr in Python
116. Control Flow Statements in Python
117. Convert String to Datetime Python
118. Count in python
119. Counter in Python
120. Data Visualization in Python
121. Datetime in Python
122. Extend in Python
123. F-string in Python
124. Fibonacci Series in Python
125. Format in Python
126. GCD of Two Numbers in Python
127. How to Become a Python Developer
128. How to Run Python Program
129. In Which Year Was the Python Language Developed?
130. Indentation in Python
131. Index in Python
132. Interface in Python
133. Is Python Case Sensitive?
134. Isalpha in Python
135. Isinstance() in Python
136. Iterator in Python
137. Join in Python
138. Leap Year Program in Python
139. Lexicographical Order in Python
140. Literals in Python
141. Matplotlib
142. Matrix Multiplication in Python
143. Memory Management in Python
144. Modulus in Python
145. Mutable and Immutable in Python
146. Namespace and Scope in Python
147. OpenCV Python
148. Operator Overloading in Python
149. ord in Python
150. Palindrome in Python
151. Pass in Python
152. Pattern Program in Python
153. Perfect Number in Python
154. Permutation and Combination in Python
155. Prime Number Program in Python
156. Python Arrays
157. Python Automation Projects Ideas
158. Python Frameworks
159. Python Graphical User Interface GUI
160. Python IDE
161. Python input and output
162. Python Installation on Windows
163. Python Object-Oriented Programming
164. Python PIP
165. Python Seaborn
166. Python Slicing
167. type() function in Python
168. Queue in Python
169. Replace in Python
170. Reverse a Number in Python
171. Reverse a string in Python
172. Reverse String in Python
173. Stack in Python
174. scikit-learn
175. Selenium with Python
176. Self in Python
177. Sleep in Python
178. Speech Recognition in Python
179. Split in Python
180. Square Root in Python
181. String Comparison in Python
182. String Formatting in Python
183. String Slicing in Python
184. Strip in Python
185. Subprocess in Python
186. Substring in Python
187. Sum of Digits of a Number in Python
188. Sum of n Natural Numbers in Python
189. Sum of Prime Numbers in Python
190. Switch Case in Python
191. Python Program to Transpose a Matrix
192. Type Casting in Python
193. What are Lists in Python?
194. Ways to Define a Block of Code
195. What is Pygame
196. Why Python is Interpreted Language?
197. XOR in Python
198. Yield in Python
199. Zip in Python
Python is extensively used for software development, system scripting, and server-side web development. It can generate server-side web applications, database system connections, and workflows, perform complex mathematical examples for handling Big Data, and fast prototyping.
Among the key features of Python is its capacity to output data to the normal output or console. The print in Python function is utilized to show variables or text on the screen. It is an embedded function that can be applied to every Python program without needing extra installation.
Python's print () function is employed to print the preferred message on a device's screen. The Print always follows a string format. If the message of print is in different objects, it is initially changed into a string before getting printed. You can key in one or several objects of any kind. Prior to getting printed, the objects become altered into a string. The print in Python function is utilized to showcase variables, messages, and calculation results.
A better reference to the Python print() function operation lies in the Python print documentation. The Python print format signifies the manner in which you show output utilizing the print() function. It comprises formatting the data you wish to print to a file or the console in a readable and structured manner.
In contrast to Python 2, which did not need to apply parentheses, Python 3 needs parentheses to be applied, or it will display a syntax error. The print() function, which acknowledges 0 or more expressions divided by commas, is the easiest way to produce output. This function alters the expressions you approve into a string prior to writing to the screen.
The whole Python print() syntax is as follows:
Print (*objects, sep = ‘’, end = ‘\n’, file = sys.stdout, flush = False)
*object: one or greater objects to be printed.
Sep: Separator among objects. Default value = one space
Example:
a = ‘Introducing’
b = ‘Python’
print (a, b, sep = ‘,’)
Output:
“Introducing, Python”
End: The value gets printed after the entire described objects are printed.
Preset value = Newline
Example:
a = ‘Introduction’
b = ‘Python’
print (a, end = ‘ & ‘)
print (b)
Output:
“ Introduction & Python”
Print line or Python println means it will use \n at the culmination of the printed line.
File: Stream at the point of output printing. Default value = Normal output
Example:
Make a file named “demo.py” and insert the below code:
newfile = open( ‘ demo.txt ‘, ‘ w ‘)
print (‘ Welcome to the tutorial ‘)
newfile.close()
Operate the program utilizing “python demo.py > output.txt.” It will generate a file “output.txt” and include the print text within it.
Flush: It is utilized to unbuffer and buffer the output. The preset value is “False,” whereby the output is buffered. If we fix the “flush = True,” then, the output becomes unbuffered and will have slow processing.
Demo = open(“demo.txt”, “a”)
demo.write(“Welcome!”)
demo.flush()
demo.write(“One more line!”)
The list of python print() function arguments include;
The Python Print() is utilized to get output or show anything on the screen and also to debug code. The function outputs a value or the supplied message to the console.
The Python print() function intakes any quantity of parameters and prints them out on a single line of text. Each item is changed to text form, divided by spaces, and there is one ‘\n’ at the closure (the “newline” character). When selected with zero parameters, print() simply prints the ‘\n’ and no other thing. In the interpreter, standard-out shows to the screen amid the ‘>>>’ prompts, affording a simple way to view what print() does.
>>> print (13, 26, -2)
13 26 -2
>>> print (‘hello,’ ‘there,’ -4)
hello there -4
>>> print (‘theme’) # 1 item, 1 \n
theme
>>> print () # 0 items, 1 \n
In source code of Python, the string text is written with quotes, such as ‘Welcome’, so we are familiar to viewing that form. Remember that printing a string simply prints out the string’s text data without any quotes:
>>> print (‘Welcome’)
Welcome
>>>
The Python print() function is utilized to show any object or the text to the console or any normal output. When you employ a Python shell to examine statements, the normal output would be a shell console, while for real-time projects, we mainly select the logging as normal output, so it outputs each text from the print() to a log file.
By default, the print() function in Python shows to the normal console. Print() with no arguments shows the new line to the console, so when you print a string, it shows a string and also includes a new line within the console.
What will be the output of the print('*' * 10) in Python?
If the language is Python, then output:
**********
First, let’s view the default attitude of the Python() function that only takes the text.
By default, upon displaying text in Python using the print() function, every text published with a print function scrawls in a new line. A Python print example is the following.
# print() usage
print("Welcome to")
print("Python Tutorial")
This code produces the undermentioned output on the console.
The print() function can even be employed to print several statements, and you just need to pass the entire objects you wish to print as an argument to the function.
# Print multiple strings
Str1 = “Say hello to”
Str2 = “Python Tutorial”
print (str1, str2)
This code delivers the undermentioned output on the console.
Output:
# Say hello to Python Tutorial
A string becomes literal and can be developed by scripting a text (a group of characters) enclosed by one(‘), double(“), or triple quotes. We can script multi-line strings or show them in the preferred way using triple quotes. Here nerdfornerds comprises a string literal that is allotted to a variable (s). Following is an example of a Python string literal.
# in single quote
s = ‘nerdfornerds’
# in double quotes
v = “nerdfornerds”
# multi-line String
m = ‘’’ nerd
for
nerds’’’
print (s)
print (v)
print (m)
Output:
nerdfornerds
nerdfornerds
nerd
for
nerds
It also comprises a kind of Python string literal where one character is encompassed by one or double quotes.
# character literal in one quote
b = ‘r’
# character literal in double quotes
u = “p”
print(b)
print(u)
Output:
r
p
The end parameter defines the string/character at which the printed value finishes. It is a line break by default.
Calling several print() functions includes a new line instantly. This is because, by default, every print () function call inserts a newline character ‘\n’ to the culmination of the row.
For example:
print (“Welcome”)
print (“Python”)
Output:
Welcome
Python
If you do not wish every print to make a new line, you can alter the value of the end parameter within the print() function call.
For example, let’s apply a blank space in place of a new line:
print (“Welcome,” end=” “)
print (“Python”)
Output:
Welcome Python
Tweaking the end parameter within the print() function can be helpful if you desire to alter the way successive prints display in the console.
The flush parameter of print in Python enables you to select buffered or unbuffered output. This parameter has a default value of False, implying the output will be buffered. If you set this as True, the output is unbuffered, and this procedure is generally slower than the former.
The separator parameter sep works as a separator when the print() function is evoked with several values. This is set as an empty string, ‘ ‘, by default.
If you desire to alter it, you must specify the separator by furnishing the arguments as a keyword argument within the print() function call. Specifically, you need to insert sep=’something’ to the print() function call.
For example, let’s separate every element by 2 new lines:
Print (4, 5, 6, sep=’\n\n’)
Output:
4
5
6
The separator is helpful if you wish to customize how several values are printed into the console.
The file parameter defines where the print() functions to transmit the output. The output is sent into the console by default.
The print() function shows the output in the console by default. However, this is only one stream where the output may be shown. You can, for instance, print the results into a different text file.
The print() function in Python is among the most extensively used functions. Developers mainly use it to show variable values and strings each in the compiler or the interactive interpreter. It completely depends on what the Python program is flowing.
Nonetheless, a possibility exists to alter its functioning from writing to console to writing text to a file. The following are the different methods of Python print to file.
There are different operations and ways that programmers can work using print(). Besides printing data to the console, it also aids in directing texts to a location termed the standard output stream (stdout). The other 2 streaming pipes are stderr and stdin.
As default, the standard output (stdout) pipe targets the interactive window that aids in program execution. The standard output can also be redirected to different locations, like text files. We can utilize the print() function here with different approaches or parameters.
Program:
import sys
print (‘Displaying this message on the output console.’)
orig_stdout = sys.stdout
with open(‘dataFile.txt’, ‘w’) as gr:
# Changing the standard output
sys.stdout = gr
print ( ‘Writing the codename GR26 to the newly created file.’ )
sys.stdout = orig_stdout
Output:
When any error occurs in Python, it is scripted to the standard error stream (stderr). To publish the value of stderr within the file, we are required to redirect it. We can just redirect the sys.stdout to look to the sys.stderr, with the file parameter of the print() function. It is helpful while debugging little programs. Nevertheless, it is suggested to utilize a debugger with big programs.
Program:
import sys
print ( ‘Displaying this message on the output console.’ )
orig_stdout = sys.stdout
sys.stdout = sys.stderr
print ( ‘Writing the codename GR26 to the newly created file.’ )
with open( ‘dataFil.txt,’ ‘w’ ) as gr:
sys.stderr = gr
print ( sys.stderr , file = sys.stderr )
sys.stdout = orig_stdout
Output:
Rather than writing any normal pipe value, programmers can even write particular values to a file applying the print (0) function. If the file is unavailable, this process builds a new file with that name and writes the string values approved to the print().
Program:
sampl = open( ‘ AnyFile.txt, ‘‘w’ )
print ( ‘Karlos, Dee, Sue, Bill, Steve, Elon’, file=sampl )
sampl.close()
Output:
The Python print function is an inbuilt function that is employed to show variables or text on the screen. It is among the key features of Python and is used in different applications, including machine learning, data science, and web development. The print function syntax is plain, using one or more objects as input and showcasing them on the screen. The print function does not give back any value but is utilized to output data to the standard output or the console.
By applying the string formatting syntax, you can print a formatted string employing the print () function. For instance, print (“The answer is {}.”. format (56) will output The answer is 56. Preferably, you can employ f-strings in Python 3.6 and newer, like this: print ( f”The answer is {56}.” )
“%s” and “%d” are the string formats in Python. “%d” is used for the numbers, and “%s” is employed for the strings.
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