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Python programming

Python is a widespread and functional programming language. It is renowned among computer programmers for being easy to read and simple.

These are some of the main Python programming concepts.

• Python’s language simple syntax.
• Programming in Python is done using an interpreted language.
• it is a general-purpose programming language with a large standard program library and a variety of plugins.
• Numerous third-party libraries are widely supported by Python programmers.
• Support for Windows, Linux, Mac, Android, and OpenBSD on the Python cross-platform framework.
• Rapid prototyping and productivity using Python.
• The worldwide Python development community and support are enormous.
• this programming has a wide range of uses.

Python online

Programmers can access a variety of online resources using Python programming language. It might be useful for learning Python programming techniques, practicing Program code, and creating new apps.

If you’re looking for Python-related data and information.

These are some of the well-known online platforms and tools for learning.

• Python.org.
• Python Interactive Shells.
• Online Python run platform.
  • PythonAnywhere – www.pythonanywhere.com.
  • Replit – replit.com.
  • Trinket – trinket.io.
• Online Learning Platforms.
• Python Community Forums.
• Python Package Index (PyPI).
• Python Online IDEs.
  • repl.it.
  • PythonAnywhere.
  • PyCharm Edu (educational version of PyCharm).

Python enumerate

The enumerate() function is a built-in library function in the Python programming language. which enables a programmer to keep track of the index or position of each item when iterating over an iterable item (such as a list, tuple, or string) in a program. Enumerate () returns the iterable value of Python tuples, inserting the index and item for each tuple according to the iterable.

The following is the syntax for the Enumerate() function.

Syntax

count(iterable, start = 0)

This object is represented by the iterator parameter in the enumerate function program. The program to which you wish to apply the iteration function, as well as the optional start parameter—which, by default, is set to 0—specify the starting index value.

An illustration of how to use count() can be seen below.

Syntax

programming = [‘python’, ‘java’, ‘c++’, ‘mangosdb’]

for index, programming in enumerate(programming).

    print(index, programming)

Python range

The range() metho is used to create an uninterrupted stream of integer values. Python’s language range() function is frequently used to run through a defined range of values from the beginning to the finish of a for loop. The range() method can be called with one, two, or three parameters in a Python program as shown below.

range(stop) – This syntax produces a series of numbers from 0 to the 10 given stop values, but not beyond.

For Loop Syntax

for p in range(10):

    print(p)

Range(start, stop) – In this case, the RANGE function described below creates a series of integers beginning with the start value 3 and ending with (but excluding) the supplied 12 stop values.

Syntax

for q in range(3, 12):

    print(q)

Python compiler

A list of some well-known program compilers is provided below.

• PyInstaller
• Nuitka
• Cython
• Shed Skin
• PyOxidizer

Python set

A set is an unsorted collection of distinct items. It is a built-in data type that enables you to store a group of things without regard to their order and guarantees that each thing only appears once in the collection. Common set operations include removing duplicate elements, conducting mathematical set operations, and confirming membership.

Here is an example of how to create a set.

Syntax

set_numbers = {5, 9, 0, 4, 2, 1, 0, 8, 5}

print(set_numbers)

Anaconda python

A popular distribution or version of the Python programming language is called Anaconda. Anaconda is frequently used for engineering, large data analysis, scientific computing, and machine learning with firmware. The Anaconda edition comes with a comprehensive set of pre-installed libraries and tools as well as a package management system. which are often used in the scientific and data science areas.

A platform for creating an isolated environment is offered by the Python language Anaconda version. This makes it possible for the Python developer to manage several Python versions and packages without running into any problems. Additionally, it has built-in package management called conda. It makes it simple to add, delete, and update crucial packages in the Python Anaconda development environment.

These are some of the key features and components of some popular Anaconda versions.

• Anaconda Navigator.
• Conda.
• Anaconda Prompt.
• Anaconda Cloud.

Python list

A list is a built-in data storage type in Python programming language. programmers may use it to store and manage collections of different kinds of variable data components. In application, this is an ordered list of process variable objects. Each data item in the list storage has a unique index, which starts at 0. Keep in mind that the lists are changeable data types, allowing you to alter their variable data members as necessary.

An example of a Python program to create a list data type variable is shown below.

Syntax

person = [“male”, “female”, “transgender”,”kids”]

print(person)

Python try except

The try-except program statement is used in Python applications to handle any errors in the logic code and program exceptions. It enables you to detect and effectively manage exceptions that arise from program code while the code is being executed. the scripts won’t end unexpectedly as a result.

Any try-except block has the following general syntax.

Here, a program example is provided that shows how to utilize the try-except statement.

Syntax

try:

    # program code raises an exception

    # …

except ExceptionType:

    # program code use to handle the exception

    # …

Python class

A class in Python programming language is a manually built data type that allows users to create desired program objects with certain features (variables) and program behavior (methods). According to the requirements of the programmer, it determines the structure and behavior of program objects belonging to that class.

In programming, you place the class reserved Python keyword after the class name to declare or define a class. User-defined methods and properties are typically included in Python class declarations. This, when required, informs the Python programmer on the behavior and data of objects produced from that class.

Learn python

Nowadays, learning Python programming language is a fantastic alternative. it is a recognized computer programming language in the modern day. It has a reputation among computer programmers for being straightforward, readable, and versatile. The building of websites, large data analysis, artificial intelligence, scientific computing, research and development, image processing, business and e-commerce, and other areas are only a few of the areas where Python is now widely utilized.

Here are some stages for novice computer programmers to follow as they begin learning. which you may do in a step-by-step manner.

• Set up your computer’s Python language environment first.
• Consider using as a learning resource.
• Programming Fundamentals Start learning, then practice writing simple Python applications.
• To improve development, keep learning about the libraries and frameworks that are already available.
• Get involved with the bigger Python communities, organizations, and forums.

Python split

The split() function in Python language is used to divide text or a string into a list of substrings depending on a delimiter that is given. For operations on Strings data types, it has the split() function, which accepts a program containing delimiters as an input.

Here is a Python program’s split() method’s basic syntax.

syntax

string.split(separator, maxsplit)

List comprehension python

List comprehension is a clear and effective Python programming language tool. which enables programmers to build new programmable lists by repeatedly iterating through iterables of existing Python data types (such as a list, tuple, or string) and applying a function or condition to each member. It gives programmers a concise way to write code, and it is frequently used in programming to replace the conventional for loop.

Python requests

The requests library is a well-known HTTP library used in Python development. Which makes creating HTTP requests and working with HTTP replies easier for programmers. It offers a simple user interface for communicating with online services, making HTTP queries, and managing related answers.

You must first install the requests library before using it. If it isn’t already installed in a Python environment. Therefore, you may first install it using pip.

Syntax

pip install request

once the requests library has been set up. then import it into any Python application script you may have.

import request

Python tutorial

Here is a summary of Python’s main ideas and syntax.

comments are intended to clarify a specific program code or logic, they are not actually performed by the Python program. Comments in the Program start with the # sign.

Syntax

• # This is the example of comment

Variables – variables are used to store and handle various sorts of data. In contrast to other high-level programming languages, Python programming language does not need you to explicitly specify the type of a program variable. Data types in Python programs are automatically determined.

Declaration

• course = “python” # String variable declared
• fee = 99 # Integer variable declared
• height = 5.5 # Float variable declared

Data Types – Variables – A wide range of standard data types are supported by Python programming. including classes, objects from various third-party libraries, strings, floats, integers, numbers, lists, tuples, dictionaries, and more.

# String

• message = “Welcome to python!”
• # Integer
• p = 1
• # Float
• height = 5.7
• # List
• course = [“O level”, “A level”, “B level”]
• # Tuple
• numbers = (1,2,3, 4)
• # Dictionary
• course = {“course”: “python”, “fee”: 999}

Control Flow – Control flow statements are used to manage the execution of program code in any Python application. Loops and if-else statements are available in Python. The provided expression in Python language is used to test the If and Else condition or logic.

statements

• # If-else statement
• if condition:
• # Code block executed if condition is True
• else:
• # Code block executed if condition is False

# For loop

• for item in iterable:
• # Code block to be executed for each item until it reaches to ends

# While loop

• while condition:
• # Code block to be executed while condition is True

Functions – You may organize reusable program code modules using functions in Python programs. You have the option of creating your own user-defined functions or using those included in the Python library.

declaration

• # Function definition Declaration
• def course(c_name):
• print(“\n Welcome to join “,  c_name)
• # Above Function call
• course(“Python course”)

Input and Output – With the help of the input() and print() methods, a Python program may receive input from the user and produce the desired results.

declaration

• # User input
• stu_name = input(“Enter student name – “)
• # Output
• print(“\n Welcome to vcanhelpsu”, stu_name)

Modules and Packages – Software packages are directories of code modules, whereas modules in the Python language development environment are files or libraries offering support for Python programming. These modules and packages may be used to considerably expand the functionality of Python programming by being imported into your already existing Python application code.

Declaration

• # Importing a module in python
• import math
• # Using module functions to find sqrt
• output = math.sqrt(9)

Python ide

Python development integrated development environments (IDEs) or software are readily available to software developers due to its popularity as a programming language.

These are some of the most widely used Python IDE tools.

• PyCharm.
• Visual Studio Code (VS Code).
• Jupyter Notebook/JupyterLab.
• Spyder.
• IDLE (Python’s Integrated Development and Learning Environment).
• PyDev.

Python tutor

An online C, C++, and Java tool or website is called Python Tutor. It aids in debugging new Python scripts by enabling step-by-step code visualization. Python language Tutor makes it possible to see the execution of your Python program code as well as the values of the defined variables at each stage. What makes you change? Anyone who wants to learn Python programming should utilize the Python tutor. It is especially helpful for new and inexperienced Python developers. one who seeks to comprehend the behavior and flow of the Python code they produce.

If else python

The if-else statement in Python programming language enables you to execute various operations depending on the values of the if and else statements. Keep in mind that only one condition is true at the moment in the if/else expression.

In Python programming, an if-else statement has the following general syntax.

syntax

if condition:

    # block or program code to be executed when if condition is True

else:

    # block of program code to be executed when if condition is False

Here’s an example that demonstrates the usage of the if-else statement.

Syntax

p = 1

if p > 0:

    print(“\n P is Positive number”)

else:

    print(“\n P is Negative number”)

If condition p > 0 evaluates to true in the example above. Thus, when the program code block included in the if statement is run, the message “The value of p is positive” is printed. Otherwise, the code block after the else statement will be run and will display “p variable output value negative” if the if statement condition is false.

Python regex

The Python language developer can deal with regular expressions thanks to the robust Ray (Regular Expression) module. A string of regular expression characters make up a Python regular expression. This creates a Python search pattern that can be used in any Python application to match and work with text.

Python list comprehension

Python language scripts that are now iterating. Like lists, tuples, or strings, Python list comprehensions are succinct and potent structures for building new lists based on database variable declarations. Any Python program’s list comprehensions offer a concise syntax for iterable components to be transformed or subjected to filters while simultaneously generating a new list in a single line of code.

Python tuple

A tuple is a declared variable datatype element that is ordered, immutable, and contained in parentheses () in Python programming. Lists and multiples are comparable. But unlike the Python data type for lists, the Python data type for tuples cannot be changed after it has been defined. Python tuples are frequently used to group together relevant bits of data.

These are some illustrations of tuple creation in Python.

Syntax

group_tuple = (23, 9.8, 5.45, “python”, “java”, “c#”)

You may store variable components of many data types together using the Python language tuples data type. For instance, tuples data types, strings, floats, and integer data types. The members of a tuple in Python are indexed from 0 to 1, and just like Python lists, you may use indexing or slicing program operations on Python tuples to access specific variable elements.

Python map

The map() function in Python programming language applies a specified function to each declared variable data item in an iterator (such as a list, tuple, or string), and then returns an iterator that contains the result.

The syntax for Map() in Python is as follows.

syntax

map(function, iterable)

Python lambda

A lambda function in Python programming language is a condensed math operation. which doesn’t require a name when being declared in a Python application. “Anonymous functions” is another name for lambda functions. because Python does not require a separate def line to construct a lambda function. The most common application for Python lambda functions is then. when you just need a single-line function in a Python application and don’t want to use the def statement to specify the entire function.

The following is the syntax for writing a lambda function in a Python application.

Syntax

lambda arguments: expression

Python function

A function is a segment of reused program code in the Python programming language. It does a certain programming operation. Python’s built-in functions aid in logically grouping computer code into units, while previously built-in functions encourage code reuse. In Python programming, user-defined functions are declared by using the def keyword, the function name, parentheses, and a colon.

Python programming’s general syntax for function declaration is.

Syntax

# Function declared without parameters

def vcanhelpsu():

    print(“\n Welcome to vcanhelpsu.com !”)

# Calling the above declared function

vcanhelpsu()  # Output: Welcome to vcanhelpsu.com !

Python sort

Depending on your unique needs, Python offers a variety of methods for serializing data and information contained in declarative program lists.

These are a few typical methods that a Python program declares to sort a list of data components.

Making use of the sort() function A built-in data function in Python called sort() arranges the stated values in a list in the same order. It is then organized ascending.

Syntax

sort_list = [100, 89, 50, 1, 2, 0,5]

sort_list.sort()

print(“\n Result with Ascending Sorted List order -“,sort_list)

Python sleep

The built-in time module in Python includes the sleep() method. Additionally, it is used to halt program output for a certain amount of time or to put program execution to sleep for a while. Sleep () may be beneficial under certain circumstances. Where in the function code you produced do you want to add a brief delay or pause?

This is a use case for the sleep() method.

Syntax

import time

print(“This is a simple message to be displayed immediately”)

time.sleep(5) # pause the execution of the second message for 5 seconds

print(“This is the sleep function message display after 5 seconds”)

The Python language sample will show “This simple message is immediate performance,” after which time may be used.After a brief delay, the software will say, “After 5 seconds it will sleep,” if you enter the command sleep(5). The output will be shown on the screen when the function message is shown.

Python sort list

Use the sort() method or the sorted() function in a Python application to order the members of a list that are of the stated variable data type.

Both of the Python list sort techniques are demonstrated here with examples.

Python’s sort() technique is used in a similar manner.

Syntax

test_list = [1, 0, 10, 4, 7, 18, 19, 3, 4,6]

test_list.sort()

print(“\n Sorted List Is -“,test_list)

Python random

The random module in Python programming language may be used to produce random numbers from defined variable data types, choose random items from a list of items, shuffle data element sequences, and more. Some frequently used functions from the random module of the Python programming language are listed below.

using a Python application to generate random numbers.

randint(p, q)-  Returns a random integer between p and q (inclusive).

Syntax

import random

random_int = random.randint(5, 12)

print(random_int)

Pandas python

Python’s Pandas package is a potent tool for data analysis and manipulation. It offers data structures and operations for effectively managing structured data in Python programs, including time series data and declarative tabular data (CSV files, SQL tables).

Here is a tutorial on how to use the Python pandas library module.

set up pandas

• Run the following line in your terminal to install the pandas library using pip.

pip install pandas

To install Pandas.

• Follow these instructions to install the pandas library, then import it into your Python script or notebook.

Import pandas as pd

While loop python

A block of code is continually run by the while loop in a Python application. As long as the while loop’s specified program condition remains true.

The following is the general syntax for a while loop in Python.

Syntax

Here’s an example of a while loop in Python.

Syntax

p = 0

while p <= 10:

    print(“\n Value of p -“, p)

    p += 1

The while loop will keep running in the previously mentioned software example. As long as the program’s condition p = 10 is true. P is set to 0 at the beginning and is increased by 1 point after each repetition. Every time the while loop condition changes to false or (when the count reaches 10) the while loop will print the value of p and update it.

// in python

In Python, the floor division operator is represented by the double forward slash (//). Floor Separation Using the specified Python data type variable action, returns the greatest integer. This, according to the software, divides two integers into a result that is less than or equal to.

Here is an illustration of how to use Python’s floor division operator.

Syntax

p = 12

q = 5

flop_div_op = p // q

print(“\n Result of  Floor Div -“,flop_div_op)

Python array

The built-in array module in Python scripts serves as a representation for the arrays data type. It offers a fast replacement for the common Python lists datatype. A continuous block of memory with the same data type is referred to as an array in Python. which keeps a string of values of the same data type.

Here is an illustration of how to use Python arrays.

the array module is imported.

Syntax

from array import array

Creating an array.

The type codes for the members of the array must be specified when creating an array in a Python application. The data type of an array’s elements is represented by its type code.

Syntax

from array import array

test_array = array(‘f’, [9, 5, 6, 7])

print(“\n”, test_array[0],test_array[1])

print(“\n”, test_array[2],test_array[3])

The float number type code “f” is used to generate an array of float numbers in the aforementioned example, and the array’s starting data is [9, 5, 6, 7].

Python print

The print() method is used in applications written in Python to output Python program output to the console or terminal. You may use the print function to display the results of variables, strings, integers, floats, characters, and other variable objects.

You may see several instances of using Python’s print() method down below.

using a Python program to print a string.

Syntax

print(“\n Welcome to vcanhelpsu!”)

Python zip

The zip() method in Python programming is used to aggregate or merge numerous iterable data types (such lists, tuples, or strings) into a single iterable. It accepts several users’ inputs of sequence information and outputs an iterator of tuples, where each tuple has items matching the input sequences.

The zip() function’s general syntax is shown below.

Syntax

zip(*iterables)

*Iterables stand in for the input sequences you wish to zip together. Comma-separated lists of different data type sequences can be sent, or you can use the * operator to break up a single sequence into its component pieces.

Here’s an example to illustrate how zip() works.

Syntax

names = [‘John’, ‘David’, ‘Mathew’]

course = [‘python’, ‘java’, ‘postgresql’]

ide = [101, 102, 103]

fee = [999, 799, 899]

zipped = zip(names, course, ide, fee)

for zipinfo in zipped:

print(“\n All Group Zipped Elements -“,zipinfo)

Three different sorts of sequences are included in the above example, integers, characters, and strings. The zip() method is used to aggregate these sequences, and it produces an iterator result that contains tuples of the appropriate items.

Python string format

Python has a number of string formatting options.

Here are three typical approaches.

Using the % operator.

Syntax

course = “Python”

fee = 999

print(“\n Course %s is -“, (course))

print(“\n Course fee %d is -“,(fee))

Python datetime

The datetime module in Python offers a number of classes for manipulating dates and times. It enables you to use date, time, and timedelta (the difference between date and time) in your current Python program and execute a variety of actions on them. Using the datetime module, you may show various dates and times in your program here.

Importing the datetime module.

Syntax

from datetime import datetime, date, time, timedelta

Creating a datetime object with the current date and time.

Python Syntax

from datetime import datetime, date, time, timedelta

today_datetime_datetime = datetime.now()

print(“\n”, today_datetime_datetime)

Python if statement

The if statement is used in Python applications to execute program code conditionally. It enables you to provide a Python program code block. This will only be carried out if a certain if-else condition is true.

The fundamental syntax for an if statement is shown below.

Syntax

if condition:

    # if program Code to be executed if the condition is true, otherwise else code executed

If condition is a phrase that can be either true or false in this case. The indented piece of code that comes after the if statement is executed if the condition is satisfied. If the condition is false, the code block is skipped, and the program moves on to the statement after the if block’s else statement.

To identify a block of code, you may also insert another otherwise statement clause. This will be carried out if the predicate is true.

This is an illustration of an if else statement.

Syntax

value = -1

if value > 0:

    print(“\n Number Value is positive”)

else:

    print(“Value Number is negative”)

Python substring

Using the slicing or string methods in Python programming, you may extract and display a new substring from a string. Here are a few Python programming techniques for handling substrings.

To slice

characters that you wish to be part of the string. The built-in Python method called “slicing” may be used to extract a substring from a string depending on its indexes. Slicing uses the syntax string [start:end]. where start is the inclusive character index for the first character and finish is the exclusive character index for the last character.

Syntax

info = “Welcome, to Vcanhelpsu.com”

string = info[11:26]

print(“\n Python substring is -“,string)

Vcanhelpsu.com

In this example, the substring “Vcanhelpsu.com” is appended to the original string starting at index 11 and ending at index 26 (not inclusive).

Python write to file

Using the built-in open() function and the write() method of the File object, you may write to an existing Python file in Python programming.

Here is a simple illustration of writing to a file.

Syntax

# Open the file in write and read mode

file = open(“testfile.txt”, “w+”)

# now you can Write desire content to the file

file.write(“\n Welcome to Vcanhelpsu!”)

file.write(“\n This function add New Line”)

# Close the above open file

file.close()

The open() method is used in the above example to open a file with the name “testfile.txt” in write mode (“w+”). It will be produced initially if this file doesn’t already exist in Python. If it already exists, the old material will be deleted and replaced with the new one.

To write the desired content to a file in Python, the File object’s write() function is used. The write() function allows you to give a string as a parameter, and it will be written to the file. Two lines of text are input in this example.

Python string replace

Using the replace() function in Python, you may swap out substrings inside a string for new ones. Using the replace() method, a new string value is produced. where a certain substring is replaced with a different substring everywhere it appears.

The replace() method’s syntax is listed below.

Syntax

new_string = original_string.replace(old_substring, new_substring)

The original string that you wish to change is indicated by the syntax original_string. You want to replace the substring with old_substring, and you want to replace it with new_substring. The program output string receives a new string that contains the replacement after using the replace() method.

Here’s an example.

default_string = “welcome, to java”

rep_string = default_string.replace(“java”, “Python”)

print(“\n”, rep_string)

The substring “java” in the original text “Welcome to Java” is changed in the example above to “python”. “Welcome to Python!” is the new string that the replace() method returns. it is printed afterwards.

Dictionary python

A dictionary is a built-in data type or structure in Python programming that enables you to store and retrieve key-value pairs in a program. Associative tables and hash maps are other names for dictionaries in Python.

Here is a summary of how to use dictionaries in Python.

Construct a dictionary.

By surrounding dictionary key-value pairs in curly brackets or by using the dict() constructor, you may create a dictionary in a Python application. There are colons between each key-value pair.

Syntax

# Using curly braces to define python dictionary

my_dict = {“key1”: value1, “key2”: value2, “key3”: value3}

# Using dict() constructor in python

my_dict = dict(key1=value1, key2=value2, key3=value3)

Accessing values.

Syntax

dict_elements = {“Course”: “Python”, “Fee”: 999, “Medium”: “English”}

# Using square brackets to denote dictionary data type

Course = dict_elements[“Course”]

Fee = dict_elements[“Fee”]

Medium=dict_elements[“Medium”]

print(“\n”,Course)

print(“\n”,Fee)

print(“\n”,Medium)

print(“\n”)

print(“\n”, Course,”\n”,Fee,”\n”,Medium)

Python split string

Using the split() method in Python programming, you may divide a string into a list of substrings or produce a new string from an existing one. The method split() provides the resultant substring as a list to the output string after splitting a string at each instance of the provided delimiter.

Here is a split() method in Python programming example.

Syntax

string.split(delimiter, maxsplit)

The character or substring on which the text will be divided is represented by the optional delimiter parameter of the split function. The split() method will by default split a string on whitespace characters (spaces, tabs, and newlines) if no delimiter is supplied.

The greatest number of splits to carry out is specified by the maxsplit argument, which is also optional. If a split is requested, the string will be divided into no more than maxsplit + 1. should maxsplit not be given. Therefore, the delimiter will be divided over all instances.

Here are some illustrations that demonstrate how to divide a string.

Syntax

message = “Welcome to vcanhelps.com”

text_split = message.split()  # Splitting text in words

print(“\n”,text_split)

Lambda python

A lambda function is sometimes referred to as an unidentified function in Python programming. Small, one-line functions can be written without a formal definition. Python programs define lambda functions using the lambda keyword. The expression to be evaluated comes after the function parameter and a colon. The expression’s outcome is automatically returned.

The Python lambda function’s fundamental syntax is shown here.

Syntax

lambda arguments: expression

Python append to list

When writing a Python program, you may add items to a list by using the append() method. All list objects provide the append() function, which enables you to attach an element to the end of a Python-specified list.

The add() method’s syntax is listed below.

Syntax

list_name.append(element)

Where element is the value you wish to add and list_name is the name of your list variable.

Here is an illustration of how to add entries to a list using append().

Syntax

course = [‘Python’, ‘Java’]

course.append(‘R Language’)

course.append(‘Kotlin Programming’)

course.append(‘Dart Programming’)

print(“\n”,course)

Result –

[‘Python’, ‘Java’, ‘R Language’, ‘Kotlin Programming’, ‘Dart Programming’]

Python read file

Use the built-in open() method along with the read() function in a Python application to read a file’s contents.

Here is an example Python application that demonstrates how to read a file.

Syntax

file_location = ‘c:/file/sample.txt’

# Open the above file in read mode

file = open(file_location, ‘r’)

# Read the existing contents of the sample.txt file

file_contents = file.read()

# Close the file

file.close()

# Print the existing contents of the above file

print(file_contents)

Python counter

The Counter class from the Collections module is a useful resource for counting the frequently occurring elements in an iterable in Python scripts. The Counter class offers an object that resembles a dictionary. where the counts are kept as values and the items are kept as keys.

Here is how a Python application may make use of the Counter class.

The Counter class from the Collections module must first be imported.

Syntax

from collections import Counter

Then, you can create a Counter object by passing an iterable (such as a list, string, or tuple) as an argument.

Syntax

from collections import Counter

prog_info = [‘Python’, ‘Java’, ‘Python’, ‘Kotlin’, ‘Java’, ‘Python’,’R Language’]

test_counter = Counter(prog_info)

print(“\n”,test_counter)

The counter object test_counter in the Python code example above will count the number of instances of each element in prog_info. will be included in the test_counter object that is produced.

Python string contains

How to use a Python program to determine whether a particular substring is contained in a string. You might use the find() function or the IN operator. To ascertain whether a substring that has to be scanned for is contained inside a bigger string, both of the functions can be utilized.

Here is how to apply each technique.

via means of these operators.

If the corresponding substring has been identified in the string, the in operator produces a true result; otherwise, it returns a false value.

Here’s an example.

message = “Welcome to, Vcanhelpsu”

if “Vcanhelpsu” in message:

    print(“\n Substring found in message text”)

else:

    print(“\n Substring not found in message text”)

Append python

You may use the append() function to add a variable element with a programmable data type to a Python list. The supplied element is added to the end of the list using the append() function.

Here is the fundamental syntax.

Syntax

list_name.append(element)

Where element is the value you wish to add and list_name is the name of your list variable.

Here is an illustration of how to employ the add() technique.

Syntax

country = [‘America’, ‘London’, ‘India’]

country.append(‘Canada’)

country.append(‘France’)

print(“\n”,country)

Python dict

A dictionary is a built-in data type in Python programming. a grouping of key-value pairs used to store program values. In some programming languages, the dictionary data type is often referred to as an associative array or hash table. In Python programming, dictionaries are changeable, unordered, and iterable.

# Making a dictionary element in Python

dict_elements = {“key1”: “Python”, “key2”: “Java”, “key3”: “Kotlin”}

# Accessing python dictionary values by theirs keys info

print(“\n”,dict_elements[“key1”]) 

print(“\n”,dict_elements[“key2”])

print(“\n”,dict_elements[“key3”])

Python interpreter

A Python executable program is the Python interpreter. It makes it possible to run Python program code. It runs statements and expressions that are read line by line from a Python application. It offers the Python coder an interactive environment. where the Python programming language may be used.

The Python interpreter may be used in a variety of ways.

• Interactive mode – Depending on your Python installation, you may run the Python interpreter in interactive mode by opening a terminal or command prompt and entering python or python 3, respectively. Once it’s running, you can just type in Python code and the program will see the results right away.
• Script Mode – The Python interpreter allows you to create computer code in text files with the.py extension and execute it instantly. You may type python script.py or python3 script.py in the Terminal or Command Prompt to run a Python script, where script.py is the name of your script file.
• Integrated Development Environment (IDE) – IDEs offer more sophisticated environments for authoring and running Python code, such as Pycharm, Visual Studio Code, or IDLE. These IDEs frequently provide tools for project management, debugging, and code completion.

What is python

Python is a powerful, adaptable, and simple-to-learn programming language. It is renowned across the world for its clarity and readability. Python programming places a strong emphasis on the readability of its code, and programs rely on beautiful syntax. It enables programmers to write code in fewer lines than they would in other languages to represent notions. The programming language Python has a thriving community and a sizable standard library. This makes it appropriate for a variety of applications, such as image processing, developing websites, analysis of data, artificial intelligence, science, and engineering.

Python json

The json module is a pre-built module for Python programming. It offers several JSON (JavaScript Object Notation) data handling methods. A well-liked data exchange format is JSON. It is utilized for storing and transmitting structured data.

You can encode (serialize) Python objects into JSON strings and decode (deserialize) JSON strings into Python objects using the Python json module.

Python replace

The replace() method in Python is used to swap out instances of a given substring for another substring inside a string. A built-in string function, this one. It enables straightforward string replacement.

Here is an illustration of the replace() method in use.

Syntax

text = “Python, programming”

rep_string = text.replace(“best”, “java”)

print(“\n”,rep_string)

Python assert

An assert declaration is a tool used in Python programming to test and debug projects. This enables your Python program to check, while it executes your program code, that a particular condition is true. An AssertionError exception is thrown if the condition is untrue, signifying that an expectation or assumption has been broken.

The general grammar for assertive statements is shown below.

Syntax

assert condition, message

Python round

The round() function in Python is used to round an integer to the closest whole number or a given number of decimal places. The integer to be rounded and an optional parameter to define the number of decimal places are the only inputs it accepts.

The round() function’s general syntax is shown below.

Syntax

rounded_number = round(number, ndigits)

Program Code.

p = 7.0998

round_p_value = round(p)

print(“\n”,round_p_value) 

q = 10.8167

round_q_value = round(q, 2)

print(“\n”,round_q_value)

Python append

To add a single item to the end of a list in Python, use the append() function. It is a feature that lists objects that have built-in.

The syntax for utilizing the add() function is given here.

alphabet = [‘A’, ‘B’, ‘C’]

alphabet.append(‘D’)

alphabet.append(‘E’)

alphabet.append(‘F’)

print(“\n \t”,alphabet)

Python read csv

The Python csv module, a built-in module for working with CSV files, may be used to read a CSV (Comma-Separated Values) file. You may read data from a CSV file using the reader object that is provided by the csv module.

Want to learn python we found 5 online coding courses for beginners

Here are five popular online coding courses for Python beginners.

• Python.org (Official Tutorial)
• Codecademy (Python Track).
• Coursera (for Everybody).
• Udemy (for Absolute Beginners).
• edX (Introduction to Python Programming).

Python fstring

F-strings (formatted string literals) offer a clear and legible way to incorporate expressions inside string literals in Python code. They offer a practical syntax for string interpolation and were added to Python in version 3.6.

The letter ‘f’ or ‘f’ is prepended to the string literal to form an f-string, which can then include expressions encased in curly brackets. The curly-braced expressions will be evaluated, and their values will be added to the output string.

Python join

A list of strings can be concatenated (joined) into a single string in Python using the join() function. It is an inherent method that string objects can use.

The join() method’s syntax is seen below.

Syntax

joined_string = separator.join(list_of_strings)

Python comment

The # sign is used in Python to add comments to the source code. Explanatory or descriptive information is included in comments, which the interpreter ignores. They act as reminders for you or other programmers to comprehend the code.

These are a few instances of code that uses comments.

Syntax

# This is the example of the single-line comment

print(“Welcome to vcanhelpsu.com”)  # this is the comment indicate print statement text

“””

This is a multi-line comment.

if you want to add some more text comment use it. “””