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Count Characters, Words, and Lines in Python Text
Counts characters, words, lines, and the most common words in a given string using Python's standard library.
from collections import Counter
def count_data(text):
"""Count characters, words, lines, and most common words in text."""
char_count = len(text)
word_count = len(text.split())
line_count = text.count("\n") + 1
word_freq = Counter(text.lower().split())
most_common = word_freq.most_common(3)
…
Extract Data from Strings in Python: Beginner's Guide
A beginner-friendly helper that splits a comma-separated string into a list, shows word count, and extracts the first and last words using Python's split() and join() methods.
text = "python,string,extract,beginner"
words = text.split(",")
print("Full text:", text)
print("Word count:", len(words))
print("First word:", words[0])
print("Last word:", words[-1])
joined = " | ".join(words)
print("Joined with separator:", joined)
Extract Email-Like Tokens from Text in Python
Uses a regular expression to find all email-like tokens in a string, returning them as a list with re.findall.
import re
def extract_email_like_tokens(text):
pattern = r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b'
return re.findall(pattern, text)
if __name__ == "__main__":
sample_text = (
"Contact us at support@example.com or sales@company.co.uk. "
"Invalid: hello@world, user@.com, test@do…
Extract URLs from text with regex in Python
Uses a regular expression to find and print HTTP/HTTPS URLs from a block of text.
import re
text = """
Visit https://www.example.com for docs.
Contact support@mysite.org.
Check http://localhost:8000/api or ftp://files.example.net.
"""
url_pattern = r'https?://[^\s]+'
urls = re.findall(url_pattern, text)
for url in urls:
print(url)
Find Data From a String in Python: Stats, Clean, Keywords
Three helper functions for beginners: compute character/word/sentence stats, normalize whitespace and case, and extract unique sorted keywords from a string.
def get_text_stats(text):
"""Return basic statistics about a string."""
words = text.split()
sentences = text.replace('!', '.').replace('?', '.').split('.')
sentences = [s for s in sentences if s.strip()]
return {
'characters': len(text),
'words': len(words),
'sentences': le…
How to Align Text in Two Columns with ljust in Python
Format pairs of strings into two aligned columns using ljust padding.
items = [
("apple", "red"),
("banana", "yellow"),
("cherry", "dark red"),
("date", "brown")
]
col1_width = max(len(name) for name, _ in items) + 2
for name, color in items:
print(name.ljust(col1_width) + color)
How to Build a Basic Text Processor in Python
Split text into sentences, count words, find the longest word, and convert text to uppercase — all with pure Python string methods.
text = """The quick brown fox jumps over the lazy dog.
Python is a powerful programming language.
Keep practicing every single day!"""
sentences = text.split(". ")
word_count = 0
longest_word = ""
for sentence in sentences:
words = sentence.split()
word_count += len(words)
for word in words:
clea…
How to Build a Text Processor in Python
This code defines functions to count words, sentences, and find the longest word in a text, then prints basic statistics like uppercase and lowercase versions.
def count_words(text):
return len(text.split())
def count_sentences(text):
sentence_endings = ".!?"
count = 0
for char in text:
if char in sentence_endings:
count += 1
return count
def longest_word(text):
words = text.split()
if not words:
return ""
retur…
How to Capitalize First Letter of Each Word in Python
Capitalizes the first letter of every word in a string using the built-in title() method.
def capitalize_words(text):
return text.title()
if __name__ == "__main__":
sample = "hello world from python"
result = capitalize_words(sample)
print(result)
How to Center Text in a Fixed-Width Banner in Python
Centers any text inside a fixed-width banner using fill characters and computed padding.
def center_text_banner(text, width=40, fill_char="="):
"""Center text within a fixed-width banner."""
if len(text) >= width:
return text
total_padding = width - len(text)
left_padding = total_padding // 2
right_padding = total_padding - left_padding
banner_line = fill_char * w…
How to Check and Manipulate Strings in Python
Demonstrates core string inspection and transformation methods like case conversion, trimming, splitting, and membership checks on a sample string.
text = " Hello, Python Learners! "
print(f"Original: '{text}'")
print(f"Lowercase: '{text.lower()}'")
print(f"Uppercase: '{text.upper()}'")
print(f"Title case: '{text.title()}'")
print(f"Stripped: '{text.strip()}'")
print(f"Length: {len(text)}")
print(f"Replace: '{text.replace('Python', 'Programming')}'")
print(f"S…
How to Convert and Process Text in Python
This code cleans, converts, splits, joins, counts, replaces, reverses, and finds substrings in a text string using Python's standard string methods.
text = " hello world, python is fun! "
# Clean up whitespace
cleaned = text.strip()
# Convert to title case
titled = cleaned.title()
# Split into words
words = cleaned.split()
# Join with hyphens
hyphenated = "-".join(words)
# Count occurrences of a letter
letter_count = cleaned.count("o")
# Replace a word
rep…
How to Convert snake_case to Title Case in Python
Convert snake_case strings to title case by splitting on underscores, capitalizing each word, and joining them with spaces.
def to_title_case(snake_str):
words = snake_str.split("_")
return " ".join(word.capitalize() for word in words)
if __name__ == "__main__":
examples = ["hello_world", "convert_snake_case", "already_title_case", "multiple__under_scores"]
for example in examples:
print(f"{example!r:35} -> {to_tit…
How to Count Words in a String in Python
Split a paragraph on whitespace and return the number of words using Python's built-in string methods.
def count_words(paragraph: str) -> int:
words = paragraph.split()
return len(words)
if __name__ == "__main__":
paragraph = "The quick brown fox jumps over the lazy dog."
result = count_words(paragraph)
print(f"Word count: {result}")
How to Detect PII in Documents Using Python
Use regex patterns to automatically detect emails, phone numbers, SSNs, and credit card numbers in text documents.
import re
from typing import List, Dict
def detect_pii(text: str) -> Dict[str, List[str]]:
patterns = {
"email": r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
"phone": r"\(?\d{3}\)?[-.\s]?\d{3}[-.\s]?\d{4}",
"ssn": r"\b\d{3}-\d{2}-\d{4}\b",
"credit_card": r"\b\d{4}[- ]?\d{4}[-…
How to Encode and Decode UTF-8 in Python
Convert a Python string to UTF-8 bytes with .encode() and back to text with .decode(), with a simple demo function.
def encode_decode_demo(text: str):
encoded = text.encode("utf-8")
decoded = encoded.decode("utf-8")
print(f"Original string: {text}")
print(f"Encoded bytes: {encoded}")
print(f"Decoded string: {decoded}")
print(f"Match: {text == decoded}")
if __name__ == "__main__":
encode_decode_demo("Hel…
How to Filter Text to Only Letters, Numbers, and Spaces in Python
A beginner-friendly function that filters a string to keep only alphabetic characters, digits, and spaces, removing punctuation and symbols.
def filter_text(text, keep_alpha=True, keep_digits=True, keep_spaces=True):
allowed = set()
if keep_alpha:
allowed.update("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ")
if keep_digits:
allowed.update("0123456789")
if keep_spaces:
allowed.add(" ")
return "".join(ch f…
How to Format Text in Python
A beginner-friendly helper that cleans and changes the case of a string, with options for title, upper, lower, and capitalize.
def format_text(text, case="title", strip_whitespace=True, remove_extra_spaces=True):
"""
Formats a string based on common beginner needs.
Args:
text: Input string to format
case: "title", "upper", "lower", or "capitalize"
strip_whitespace: Remove leading/trailing whitespace
…
How to Format Text in Python (Beginner's Guide)
This beginner-friendly Python script demonstrates text formatting basics: stripping whitespace, converting to title case, replacing substrings, splitting into words, and generating a snippet.
text = " hello world, welcome to python skillset! "
cleaned = text.strip()
title_cased = cleaned.title()
replaced = title_cased.replace("Python", "PYTHON")
words = replaced.split()
word_count = len(words)
first_three = " ".join(words[:3])
snippet = first_three + "..."
print("Original:", repr(text))
print("Stripped:"…
How to Generate Initials from a Full Name in Python
Extract and uppercase the first letter of each word in a full name to produce initials using standard string methods.
def generate_initials(full_name):
parts = full_name.strip().split()
initials = ''.join(part[0].upper() for part in parts if part)
return initials
if __name__ == "__main__":
name = "john f. kennedy"
print(generate_initials(name))
How to Generate Text Helper Functions in Python
Three simple Python functions that repeat, join, and count characters in strings for beginners.
def repeat_text(text, times):
"""Repeat a string a given number of times."""
return text * times
def join_words(words, separator=" "):
"""Join a list of words into a single string."""
return separator.join(words)
def count_characters(text):
"""Count character occurrences in a string."""
ret…
How to Highlight Search Terms in Python Text
Highlights all case-insensitive occurrences of a search term in a string by wrapping them in markers.
def highlight_search_term(text: str, term: str) -> str:
"""Highlight all occurrences of term in text using terminal-style markers."""
if not term:
return text
term_lower = term.lower()
result = []
i = 0
while i < len(text):
# Check if the term starts at position i (case-insens…
How to Inspect String Statistics in Python
A beginner-friendly function that returns detailed statistics about a string, including length, word count, character types, and easy text transformations.
def inspect_text(text: str) -> dict:
"""Return useful stats about a string for beginners."""
words = text.split()
return {
"length": len(text),
"word_count": len(words),
"uppercase": sum(1 for ch in text if ch.isupper()),
"lowercase": sum(1 for ch in text if ch.islower()),
…
How to Join List of Words into a Sentence in Python
Concatenate a list of strings into a single sentence with spaces using the Python string join() method.
words = ["Hello", "world", "this", "is", "Python"]
sentence = " ".join(words)
print(sentence)
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Samples vs tutorials and challenges
Samples are quick reference — one concept per page. For step-by-step teaching, use our Python tutorials. To test yourself, try quizzes or coding challenges. Clean up style with the Python formatter.