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Python: Built-in Functions vs. For & If Loops – 5 Programs Explained

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Python’s built-in functions make coding fast and efficient. But understanding how they work under the hood is crucial to mastering Python. This post shows five Python tasks, each implemented in two ways: Using built-in functions Using for loops and if statements ✅ 1. Sum of a List ✅ Using Built-in Function: numbers = [ 10 , 20 , 30 , 40 ] total = sum (numbers) print ( "Sum:" , total) 🔁 Using For Loop: numbers = [ 10 , 20 , 30 , 40 ] total = 0 for num in numbers: total += num print ( "Sum:" , total) ✅ 2. Find Maximum Value ✅ Using Built-in Function: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = max (values) print ( "Max:" , maximum) 🔁 Using For and If: values = [ 3 , 18 , 7 , 24 , 11 ] maximum = values[ 0 ] for val in values: if val > maximum: maximum = val print ( "Max:" , maximum) ✅ 3. Count Vowels in a String ✅ Using Built-ins: text = "hello world" vowel_count = sum ( 1 for ch in text if ch i...
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6 Python Directory Commands Useful to Read

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Here's logic to create Python Directory . You need to import the 'OS' package to create Python directory. Here're the list of Python directory commands. Python How to Create Directory Here's Logic You can create and delete directories in Python. Here's the helpful logic you can use for your projects. For this, you need to import 'os'.  Python Directories 1. How to Create a Directory Import os  os.mkdir('datafiles') 2. How to Change Directory os.chdir('newdirectory') 3. How to Create a Directory and then Create a file in it import os  os.mkdir('datafiles/newfiles');  os.chdir('datafiles/newfiles');  fp=open('input.txt', 'w')  fp.write('Hello, Welcome to Programming in Python')  fp.close() 4. How to Know Present Working Directory os.getcwd() 5. How to delete a directory os.rmdir('directoryname') 6. How to get the List of Directories os.listdir() Keep Reading You May Also Like:   55 Best Gift I...
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6 Exclusive List and Tuple Differences in Python

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Here're the quick differences between Tuple and List in Python. These are helpful for interviews and your project. Tuple and List differences List Comma-separated elements inside a square bracket [] make a list. The elements are indexed, which starts from '0' These you need to enclose in a single quote and separate by a comma. It can contain another list, which is called a NESTED list. Use type() function to get the type of data it is. The list is mutable (you can change the data). The objects (elements) can be of different data types.  Here're  examples on the List. Tuple The elements comma-separated and enclosed in parenthesis ()  The elements are indexed, which starts from '0' It can have heterogeneous data (integer, float, string, list, etc.) It is immutable. So you can't change the elements. Use the type() function to get the type of data it is.  Here're  examples of Tuple. List Example #Illustration of creating a list  new_list=[1, 2, 3, 4]  prin...
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Python Web data - How to Extract HTML Tags Easily

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With BeautifulSoup you can extract HTML and XML tags easily that present in Web data. Here is the best example of how to remove these. The prime step of text analytics is cleaning . You can remove HTML tags using BeautifulSoup parser. Check out Python Logic and removing HTML tags. When analyzing web data, consider the below examples for your projects. Python Ideas to Remove HTML tags How I Removed Using BeautifulSoup Import BeautifulSoup Python Logic to Remove HTML tags Before and after executing the code 1. Import BeautifulSoup import  BeautifulSoup  from  bs4 2. Python BeautifulSoup: How to Remove HTML Tags from  bs4  import  BeautifulSoup soup =  BeautifulSoup ("<!DOCTYPE html><html><body><h1>My First Heading</h1><p>My first paragraph.</p></body></html>") text = soup. get_text() print (text) 3. Before and After Run Before the run see the below code. Before Executing the code After Run the ...
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10 Excusive Steps You need for Web Scrapping

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Here're ten Python technics to clean the scraped data. The scraped  Text has unwanted hidden data . So, as part of cleaning it try to remove these ten in your data. 10 Steps for Web scrapping Data is prime input for  text analytics projects . After cleaning, you can feed to Machine/Deep Learning systems. Removing HTML tags Tokenization Removing unnecessary tokens and stop-words Handling contractions Correcting spelling errors Stemming Lemmatization Tagging Chunking Parsing 10 Technics to Clean Text in Python 1. Removing HTML tags The unstructured text contains a lot of noise ( data from web pages, blogs, and online repositories.)when you use web/screen scraping.  The HTML tags, JavaScript, and Iframe tags typically don't add much value to understanding and analyzing text. Our purpose is to remove HTML tags, and other noise. 2. Tokenization Tokens are independent and minimal textual components. And have a definite syntax and semantics. A paragraph of text or a text documen...
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Python How to Find Day of the Week

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DAY of the week Python code you will know here. One is from Calendar, and another one is from a function. Here, I have given my ideas on a better method. Also, the result you can get in a tuple. You might also like Attitude is Everything That Changes Your Life. Day of Week and Day_Name Monday 0 Tuesday 1 Wednesday 2 Thursday 3 Friday 4 Saturday 5 Sunday 6 Python: Day of Week How to Calculate 1. Python Logic to get Day of Week from Calendar from datetime import datetime import calendar dt = datetime.today() dn = dt.weekday() print ("Today is day number: {0}".format(dn)) print ("Today is a {0}".format(calendar.day_name[dn])) Here, the print uses string.format method to print output. Check out   the best example to use this method . The Output The result from the first logic Instead of directly using DateTime, you can write a function - that creates a tuple with Day of week and Day name. 2. Python Logic to get Day and Day_name  User defined function from datetime i...
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The Perfect Way to Swap two Strings in Python

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Here is the perfect way swap two strings in python. Without a third variable, you can swap strings in Python. With the swap function, you can achieve this. Here's the sample logic. Swap two strings Multiple arguments you can use in the same function. Here,  a  and b  are arguments for the swap function. You'll get output as swapped when you use the swap function. def swap(a, b):  return b,a  Logic to swap strings. i = "Hello world" j = "This is ApplyBigAnalytics"  (i, j) = swap(i, j)  print(i)  print(j)  Logic to Swap two numbers. i = 1  j = 2  (i, j) = swap(i,j)  print(i)   print(j) Here is output This is ApplyBigAnalytics  Hello world  2  1 Related Posts The Real Purpose of Underscore in Python 
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Python placeholder '_' Perfect Way to Use it

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What is placeholder in Python? The purpose of it is to mask the variable that you don't want to use in a function. In python, y ou can call the underscore ( _ ) operator placeholder. Below, you'll find how to use single and double placeholders in a function. What is placeholder in python The purpose of placeholder in Python is to mask variables that you don't want to use in a function. So that your code will be readable. Moreover, in future, if you want to use those variables you can replace the placeholders with the names you want. In This Page You'll know in three steps how to use placeholder correctly. Creating a function Logic to use single placeholder Logic to use two placeholders 1. Creating a function. def function_that_returns_multiple_values(x):        return x*2, x*3, x+1        for i in range(0,5):             square, cube, added_one = function_that_returns_multiple_values(i)      ...
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