LEARN COMPLETE PYTHON IN 24 HOURS

🟦 Python Basics
🔹 1. Introduction to Python
  • 1.1 What is Python and Why Learn It in 2025?
  • 1.2 Who Uses Python Today?
  • 1.3 Python vs Other Languages
  • 1.4 How to Install Python
  • 1.5 Setting Up VS Code
🔹 2. Basic Building Blocks
🔹 3. Operators in Python
🔹 4. Taking Input & Output
🔹 5. Control Flow (if-else)
🔹 6. Loops in Python
🔹 7. Lists
🔹 8. Tuples
🔹 9. Strings (Deep Dive)
🔹 10. Dictionaries
🔹 11. Sets
🔹 12. Functions
🔹 13. Modules & Packages
🔹 14. Mini Projects

9. Strings (Deep Dive)

Strings are sequences of characters (text). They are immutable (cannot be changed after creation, like tuples).

9.1 String Slicing & Negative Indexing

Strings support indexing and slicing — just like lists.

Indexing:

  • Positive: starts from 0 (left to right)

  • Negative: starts from -1 (right to left)

Example:

Python

text = "Python Programming" print(text[0]) # P print(text[6]) # P (space is also a character) print(text[-1]) # g print(text[-9]) # r

Slicing Syntax:

Python

text[start:end:step] # start → inclusive # end → exclusive # step → optional (default 1)

Examples:

Python

print(text[0:6]) # Python print(text[7:]) # Programming print(text[:6]) # Python print(text[::2]) # Pto rgamn (every 2nd character) print(text[::-1]) # gnimmargorP nohtyP (reversed string!) print(text[-12:-6]) # Progra (negative slicing) print(text[7:18:3]) # Porm (start 7, step 3)

Tip: Slicing creates a new string — original remains unchanged. Common use: Reverse a string → text[::-1]

9.2 String Methods (upper, lower, strip, replace, split, join, find, etc.)

Strings have many useful built-in methods.

MethodDescriptionExampleResultupper()Convert to uppercase"hello".upper()"HELLO"lower()Convert to lowercase"HELLO".lower()"hello"title()Capitalize first letter of each word"python is fun".title()"Python Is Fun"capitalize()Capitalize first letter only"python is fun".capitalize()"Python is fun"strip()Remove leading/trailing whitespace" hello ".strip()"hello"lstrip() / rstrip()Remove left/right whitespace only" hello ".lstrip()"hello "replace(old, new)Replace substring"I like Java".replace("Java", "Python")"I like Python"split()Split string into list (default: space)"apple banana mango".split()['apple', 'banana', 'mango']split(sep)Split by specific separator"name,age,city".split(",")['name', 'age', 'city']join()Join list elements with separator"-".join(["2026", "03", "05"])"2026-03-05"find(sub)Return first index of substring (or -1)"hello world".find("world")6index(sub)Like find(), but raises error if not found"hello".index("l")2startswith() / endswith()Check prefix/suffix"python.py".endswith(".py")Truecount(sub)Count occurrences"banana".count("a")3

Practical Examples:

Python

sentence = " Python is awesome! Learn Python today. " print(sentence.strip()) # "Python is awesome! Learn Python today." print(sentence.upper()) # " PYTHON IS AWESOME! LEARN PYTHON TODAY. " print(sentence.replace("Python", "Java")) # " Java is awesome! Learn Java today. " words = sentence.split() # ['Python', 'is', 'awesome!', 'Learn', 'Python', 'today.'] print(words) date_parts = ["2026", "March", "05"] print("/".join(date_parts)) # 2026/March/05 print(sentence.find("awesome")) # 10 (first occurrence) print(sentence.count("Python")) # 2

Tip: join() is the opposite of split() — very useful for creating CSV, paths, etc.

9.3 Check if String Contains Something

Several ways to check:

  1. in operator (most common & readable)

Python

text = "I love Python programming" print("Python" in text) # True print("java" in text) # False print("python" in text.lower()) # True (case-insensitive)

  1. find() or index()

Python

if text.find("love") != -1: print("Found 'love' at position:", text.find("love")) # 2

  1. startswith() / endswith()

Python

filename = "report.pdf" print(filename.endswith(".pdf")) # True print(filename.startswith("report")) # True

Tip: For case-insensitive check → convert both to lower/upper first.

9.4 Escape Characters

Use \ (backslash) to include special characters inside strings.

Escape SequenceMeaningExampleOutput\nNew line"Line1\nLine2"Line1 Line2\tTab"Name:\tAnshuman"Name: Anshuman\\Backslash"Path\to\file"Path\to\file\"Double quote inside """He said "Hello""He said "Hello"\'Single quote inside '''It's Python'It's Python

Example:

Python

print("Hello\nWorld!") # Hello # World! print("C:\\Users\\Anshuman") # C:\Users\Anshuman print("She said, \"I love Python!\"") # She said, "I love Python!"

Tip: Use raw strings to ignore escapes → add r before quotes:

Python

print(r"C:\new\test") # C:\new\test (no new line)

9.5 Multiline Strings

Create strings that span multiple lines.

Two ways:

  1. Triple quotes """ """ or ''' '''

Python

message = """ Hello Anshuman, Welcome to Python tutorial 2026! This is a multiline string. Enjoy learning! """ print(message)

Output:

text

Hello Anshuman, Welcome to Python tutorial 2026! This is a multiline string. Enjoy learning!

  1. Using \ at end of each line (inside single/double quotes)

Python

long_text = "Python is great because " \ "it is easy to read " \ "and write." print(long_text)

Tip: Triple quotes preserve newlines and indentation — very useful for:

  • Docstrings (function/class documentation)

  • HTML templates

  • SQL queries

  • Long messages/emails

Mini Project – Text Cleaner & Analyzer

Python

text = input("Enter some text: ").strip() # Clean and analyze clean_text = text.lower().replace(",", "").replace(".", "") words = clean_text.split() print("Original:", text) print("Lowercase:", text.lower()) print("Word count:", len(words)) print("Contains 'python'?", "python" in clean_text) print("First word:", words[0] if words else "Empty")

This completes the full Strings (Deep Dive) section — now you can handle text like a pro!

Dictionaries. Dictionaries are one of Python's most powerful and commonly used data structures — perfect for storing data in key-value pairs (like a real dictionary: word → meaning).

Written in simple English with syntax, many practical examples, outputs, and tips — ready to copy-paste directly into your webpage.

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