Python Data Types Cheat Sheet: List, Dict, Set, String Methods

🚀 Python Series – Day 9: Lists & Tuples (Store Multiple Values Easily!) Till now, we were working with single values. But what if you want to store multiple values in one variable? 🤔 👉 That’s where Lists & Tuples come in! 📦 What is a List? A list is a collection of items stored in a single variable. ✔️ Ordered ✔️ Changeable (Mutable) ✔️ Allows duplicates 🔧 Example: fruits = ["apple", "banana", "mango"] print(fruits) 🔁 Accessing Elements print(fruits[0]) # apple print(fruits[1]) # banana ✏️ Modify List fruits[1] = "orange" print(fruits) ➕ Add Elements fruits.append("grapes") 📦 What is a Tuple? A tuple is similar to a list, but: ✔️ Ordered ❌ Not changeable (Immutable) ✔️ Faster than list 🔧 Example: numbers = (1, 2, 3, 4) print(numbers) 🎯 Key Difference 👉 List = Mutable (can change) 👉 Tuple = Immutable (cannot change) 🔥 Pro Tip: Use: List → when data changes frequently Tuple → when data should stay fixed ⚡ Quick Challenge: What will be the output? x = [1, 2, 3] x[0] = 10 print(x) 👇 Comment your answer! 📌 Tomorrow: Strings in Python (Text Handling Basics) Follow me to learn Python step-by-step from basics to advanced 🚀 #Python #DataScience #Coding #Programming #LearnPython #Beginners #Tech #MustaqeemSiddiqui

🚀 Day 3/60 – Variables & Data Types (The Foundation of Python) If you don’t understand this, Python will feel confusing. If you master this, everything becomes easy. Let’s break it down 👇 🧠 What is a Variable? A variable is like a container that stores data. Example 👇 name = "Adeel" age = 25 Here: • name stores text • age stores a number 🔢 Python Data Types (Most Important Ones) 1️⃣ String (Text) name = "Adeel" 2️⃣ Integer (Whole Number) age = 25 3️⃣ Float (Decimal Number) price = 99.99 4️⃣ Boolean (True/False) is_active = True 🧪 Let’s Print Them print(name) print(age) print(price) print(is_active) ⚡ Pro Tip (Very Important) Python is dynamically typed 👉 You don’t need to declare data types x = 10 x = "Now I am text" Same variable. Different type. ❌ Common Beginner Mistake name = Adeel # ❌ Error Correct way: name = "Adeel" # ✅ Always use quotes for text. 🔥 Challenge for today Create 4 variables: • Your name • Your age • Your favorite number • Are you learning Python? (True/False) Then print all of them. Comment “DONE” when finished ✅ Follow Adeel Sajjad if you’re serious about learning Python in 60 days 🚀 #Python #LearnPython #PythonProgramming #Coding #Programming

🚀 Python Cheat Sheet for Beginners & Developers Stop Googling basic Python syntax again and again ❌ Here’s a quick cheat sheet you can save 👇 🔹 Variables x = 10 🔹 Data Types int, float, str, list, tuple, dict, set 🔹 Lists my_list = [1, 2, 3] my_list.append(4) 🔹 Dictionaries my_dict = {"name": "Seraj", "age": 21} 🔹 Loops for i in range(5): print(i) 🔹 Functions def add(a, b): return a + b 🔹 Conditions if x > 5: print("Yes") 🔹 List Comprehension squares = [x**2 for x in range(5)] 🔹 Lambda add = lambda a, b: a + b 🔹 Import import math 📌 Save this post for later 💬 Comment "PYTHON" if you want advanced cheat sheet #Python #Coding #Programming #Developers #100DaysOfCode #AI #DataScience

I thought Python was just doing calculations, until it gave me a “wrong” answer 😅 I was like: “How is this even possible??” Then I discovered something that changed everything Operators don’t just run, they follow rules. Let me explain this like I’m talking to a baby Imagine 3 kids solving math Kid 1: “Let’s go left to right” Kid 2: “No, start from the right” Kid 3: “Follow the rules first!” That’s exactly how Python behaves. What are Operators?Operators are just symbols like: ➕ ➖ ✖️ ➗ ** % They tell Python what to do with numbers. Python doesn’t just calculate randomly. It follows priority + binding rules. Two important rules I learned Modulo (%) → Left to Right For example: 20 % 6 % 4 = (20 % 6) % 4 = 2 % 4 = 2 Exponent (**) → Right to Left For Example: 2 ** 3 ** 2 = 2 ** (3 ** 2) = 2 ** 9 = 512 🤯 I used to think python is giving wrong answers Now I know that python is always correct, I just didn’t understand the rules. As I grow from excel to SQL and to Tableau and now python I’m learning that: Small mistakes = wrong insights Wrong insights = wrong decisions And in data, that’s dangerous Python is not confusing, it’s just very obedient to its rules. If you’re learning python, have you ever been surprised by a result like this? 😅 #Python #DataAnalytics #LearningInPublic #SQL #Excel #Tableau #Programming #TechJourney #BeginnerInTech #DataScience #CareerGrowth

Python has easy ways to make your text, numbers, and dates look clear and professional. Here are 4 tricks you should try: 1. f-Strings :The easiest way to put variables straight into your text. Fast, readable, perfect for quick outputs. name = "Mayar" age = 22 print(f"My name is {name} and I am {age} years old.") 2. Alignment & Width :Keep tables, reports, or lists neat by aligning text and numbers. Left, center, or right—your choice! print("{:<10} | {:^10} | {:>10}".format("Name", "Age", "Score")) print("{:<10} | {:^10} | {:>10}".format("Mayar", 22, 95)) 3. Template Strings :Create reusable text templates and fill in values later. Makes your code cleaner and easier to manage. from string import Template t = Template("Hello $name, your score is $score.") print(t.substitute(name="Mayar", score=95)) 4. Date & Time Formatting :Show dates and times in a clear, readable way. Useful for reports, logs, or messages. from datetime import datetime now = datetime.now() print(f"Date: {now:%d-%m-%Y} Time: {now:%H:%M:%S}") CodeAcademy_om Kulsoom Shoukat Ali Sultan AL-Yahyai #Python #Coding #PythonTips #Developer #LearnPython #TechSkills #CodeBetter #DateTime

If you're learning Python, strings are the first thing you must master. 🧵 I made this cheat sheet covering everything a beginner needs — all in one place. 👇 🔤 What's inside: 📌 Creating Strings — single, double, and triple quotes 📌 Indexing & Slicing — s[0], s[-1], s[0:4], s[::-1] 📌 Case Methods — upper(), lower(), title(), swapcase() 📌 Search Methods — find(), count(), startswith(), endswith() 📌 Check Methods — isalpha(), isdigit(), isalnum(), isspace() 📌 Replace & Strip — replace(), strip(), lstrip(), rstrip() 📌 Split & Join — split(), join() with real examples 📌 String Formatting — f-strings and .format() 📌 Operators — +, *, in keyword 🎁 Bonus Tip: Reverse any string in one line → s[::-1] Strings are everywhere — in web scraping, data cleaning, APIs, and automation. Getting comfortable with them early will save you hours of debugging later. ⏱️ 💾 Save this post and share it with someone learning Python today! --- 📌 Follow for daily Python tips, cheat sheets, and developer resources. #Python #LearnPython #PythonTips #CodingForBeginners #Programming #SoftwareDevelopment #PythonDeveloper #CodeNewbie #LearnPython #DataScience #AIBeginners #100DaysOfCode #TechEducation #DataScience #WebDevelopment #GenerativeAI

🚀 Day 14/60 – Dictionary Comprehension (Level Up Your Python 🚀) Yesterday you learned list comprehension. Today, let’s level up 👇 🧠 What is Dictionary Comprehension? A quick way to create dictionaries in one clean line. ❌ Traditional Way numbers = [1, 2, 3, 4] squares = {} for num in numbers: squares[num] = num * num print(squares) ✅ Dictionary Comprehension Way numbers = [1, 2, 3, 4] squares = {num: num * num for num in numbers} print(squares) 👉 Cleaner. Faster. More Pythonic. 🔍 With Condition numbers = [1, 2, 3, 4, 5, 6] even_squares = {num: num * num for num in numbers if num % 2 == 0} print(even_squares) ⚡ Real Example names = ["adeel", "ali", "ahmed"] name_length = {name: len(name) for name in names} print(name_length) ❌ Common Mistake {num * num for num in numbers} # ❌ This creates a set Correct: {num: num * num for num in numbers} # ✅ Dictionary 🔥 Pro Tip Use dictionary comprehension when: ✅ You want clean transformation of data ❌ Avoid if logic becomes too complex 🔥 Challenge for today 👉 Create numbers from 1 to 5 👉 Create dictionary where: Key = number Value = cube of number Comment “DONE” when finished ✅ Follow Adeel Sajjad to stay consistent for 60 days 🚀 #Python #PythonProgramming #LearnPython #Coding #Programming #Developer #SoftwareEngineering

🚀 Python Learning Series – 2: Variables, Data Types & Operators 🐍💻 After understanding the basics of Python in Series 1, the next important step is mastering Series 2, because this is the foundation of writing real programs. 📌 In Series 2, we learn: ✅ 🔹 Variables Variables are used to store values in memory. Example: name = "ABC" age = 25 ✅ 🔹 Rules of Variable Naming ✔ Must start with a letter or underscore ✔ Cannot start with a number ✔ No special symbols allowed ✅ 🔹 Python Data Types Python supports multiple data types such as: 📍 int (10, 20) 📍 float (12.5, 3.14) 📍 str ("Python") 📍 bool (True / False) 📍 list, tuple, set, dict ✅ 🔹 Type Checking & Type Casting We can check the type using: print(type(x)) And convert data types using: int(), float(), str() ✅ 🔹 Operators in Python Python provides different types of operators: ➕ Arithmetic (+, -, *, /, %) 🟰 Assignment (=, +=, -=) 🔍 Comparison (==, !=, >, <) 🧠 Logical (and, or, not) 📌 Membership (in, not in) 💡 Conclusion: Without understanding variables, data types, and operators, you cannot write proper Python programs. This chapter is the real base of coding! 📍 If you are a beginner, focus on practicing this chapter daily with small programs. #acsredutech #Python #PythonProgramming #LearnPython #Coding #ProgrammingForBeginners #DataTypes #Operators #ComputerEducation #SkillDevelopment #TechSkills #PythonCourse

I wrote just one line of Python code, and it worked. That’s when I realized something. Python is not just code, it’s instructions that bring ideas to life. Let me explain it like I’m explaining to a baby. Imagine you have a robot 🤖 You tell the robot: “Bring water” The robot follows your instruction step by step and that’s exactly what Python implementation is. What is Python Implementation? It simply means, writing instructions (code) And Python understands it Then executes it step by step For example, If I write, print("Hello, Precious") Python doesn’t argue. It doesn’t guess. It simply says, “Okay, let me display this.” And it shows, "Hello, Precious" But here’s what really blew my mind, Python doesn’t just run code. It reads it Interprets it Executes it immediately That’s why Python is called an interpreted language. Why this matters for Data Analysis As someone who have learn, Excel, SQL, Tableau and now Python I’m realizing that python is where everything comes together. Data cleaning, Data analysis, Automation, Visualization. All in one place. I used to think, “Learning tools is enough” Now I know that understanding how they work is the real power. If you’re learning Python or planning to, what was your first “aha” moment? Let’s talk 👇 #Python #DataAnalytics #LearningInPublic #SQL #Excel #Tableau #Programming #TechJourney #BeginnerInTech #DataScience #CareerGrowth

🐍 Day 14 of My 30-Day Python Learning Challenge Today I started a mini project: Log File Analyzer (beginner level). 📌 Goal: Read a file and count how many times each word appears. 📌 Code: with open("sample.txt", "r") as file: content = file.read().lower() words = content.split() word_count = {} for word in words: if word in word_count: word_count[word] += 1 else: word_count[word] = 1 print(word_count) 📌 Output: Dictionary with word frequencies 💡 Why this matters? This logic is used in: • Data analysis • Text processing • Search engines 📊 Quick Question What will be the output? text = "hi hi hello" words = text.split() count = {} for w in words: count[w] = count.get(w, 0) + 1 print(count) Answer tomorrow 👇 #Python #MiniProject #ProblemSolving #LearningInPublic #SoftwareDeveloper