Python Programming Book with Visual Learning Approach by Maaike van Putten

🐍 Python Practice – Day 3 ( 14 out of 50 questions solved) Continuing my Python learning journey and focusing on strengthening problem-solving skills through small coding exercises. 📌 Problems solved today: 🔹 Count vowels in a string 🔹 Reverse a number 🔹 Print the multiplication table of a number 🔹 Find the factorial of a number 📌 List-based problems: 🔹 Find the largest element in a list 🔹 Find the second largest number in a list 🔹 Remove duplicates from a list Each exercise helps improve my understanding of loops, conditions, lists, and basic Python logic. Consistency is the key, and I’m enjoying the process of learning step by step. Looking forward to tackling more problems tomorrow! 🚀 #Python #PythonLearning #CodingPractice Day 2 Count vowels in a string. try:     word=str(input("enter a string")).lower()     vowel={'a','e','i','o','u'}     s=0     for i in word:             if i in vowel:                 s=s+1     print(s) except ValueError:     print("Invalid input. enter string") Reverse a number. try:     num1 =str(input("Enter a number: "))     num2=num1[::-1]     print(num2) except ValueError:     print("invalid input. enter a number") Print multiplication table of a number. try:     num=int(input("enter a number"))     s=1     mult=0     while s<=10:         mult=num*s         s=s+1         print(mult)     except ValueError:     print("invalid input") Find factorial of a number. try:     num=int(input("enter a number"))     fact=1     while num>0:         fact=fact*(num)         num=num-1     print(fact) except ValueError:     print("invalid input") Find the largest element in a list. try:     list1=[1,2,3,4,5,6,7,8,898]     print(max(list1)) except ValueError:     print("error occured. Please check the code") Find the second largest number in a list. try:     list1=[1,2,3,4]     largest=max(list1)     secondlargest=float('-inf')     for i in list1:         if i != largest and i >secondlargest:             secondlargest=i     print(secondlargest) except ValueError:     print("error occured. Please check the code") Remove duplicates from a list. try:     list1=[1,1,2,2,3,3,4,4,5,5,6,6,7,7,8]     set1=set(list1)     print(list(set1)) except ValueError:     print("invalid operation")

🚀 Python Session 3 – Mastering Control Flow Most beginners learn Python syntax… But the real turning point in programming is learning how to control program logic. That’s exactly what I explored in Session 3 of my Python learning journey. 🐍 These concepts are the backbone of decision-making and automation in Python. 🔎 Key Topics Covered 🧠 1. if Statement – Decision Making Allows your program to execute code only when a condition is true. Example: marks = 72 if marks >= 50: print("You passed the exam") ⚖️ 2. if-else Statement – Two Possible Outcomes Example: age = 17 if age >= 18: print("Eligible to vote") else: print("Not eligible yet") This helps programs choose between two paths. 📊 3. elif Ladder – Multiple Conditions Example: score = 85 if score >= 90: print("Grade A") elif score >= 75: print("Grade B") else: print("Grade C") Used when several conditions must be evaluated. 🔁 4. for Loop – Iteration A for loop repeats a block of code for a fixed sequence of values. Example: for i in range(5): print(i) Perfect for tasks like processing datasets or repeating operations. ⏳ 5. while Loop – Condition-Based Loop Runs as long as the condition remains true. Example: count = 1 while count <= 5: print(count) count += 1 🔄 6. for-else and while-else In Python, loops can include an else block that runs when the loop finishes normally. Example: for i in range(3): print(i) else: print("Loop completed successfully") 🧩 7. pass Statement – Placeholder Sometimes a block of code is required syntactically but not implemented yet. Example: if True: pass pass acts as a temporary placeholder while developing programs. 💡 Why These Concepts Matter Control flow helps developers: ✔ Build logical programs ✔ Automate repetitive tasks ✔ Create intelligent decision-making systems Without control statements, programs would simply run line by line without logic. Drop your answer in the comments 👇 Which concept felt the most interesting while learning Python? 1️⃣ if-else 2️⃣ elif ladder 3️⃣ for loop 4️⃣ while loop 🔄 Repost to help another learner Follow along as I continue documenting my Python learning journey step by step. #Python #LearnPython #PythonProgramming #CodingBasics #ControlFlow #ProgrammingLogic #TechLearning #CodingJourney

Learning Python in 2026, but not sure where to start?   So we made it simple.   We reviewed the best Python learning apps and platforms available right now- What actually works, what to avoid, and which one fits your learning style and goals.   👉Read the full guide here: https://lnkd.in/gV6ys9x7 . . . . #python #skillifysolutions #pythonforbeginners #datascience #ai https://lnkd.in/gV6ys9x7

🚀 Learning Update – Control Statements in Python Today at Frontlines Edutech, I learned about Control Statements in Python. 🔹 Definition: Control statements are used to control the flow of execution in a program. They help the program make decisions and repeat tasks based on conditions. 🔹 Types of Control Statements I Learned: 1️⃣ if / elif / else (Decision Making) Used to execute code based on conditions. Example: x = 10 if x > 10: print("Greater than 10") elif x == 10: print("Equal to 10") else: print("Less than 10") 2️⃣ for Loop Used to repeat a block of code for a specific number of times or through a sequence. Example: for i in range(5): print(i) 3️⃣ while Loop Used to repeat code while a condition is true. Example: count = 0 while count < 3: print(count) count += 1 4️⃣ break Statement Used to stop the loop immediately. Example: for i in range(5): if i == 3: break print(i) 5️⃣ continue Statement Used to skip the current iteration and continue with the next one. Example: for i in range(5): if i == 2: continue print(i) Learning control statements helps in writing logical and efficient Python programs. Looking forward to practicing more and improving my coding skills step by step. 💻🐍 #frontlinesedutech #python #programming #dataanalytics #learningjourney Frontlines EduTech (FLM) Krishna Mantravadi Upendra Gulipilli Ranjith Kalivarapu

I wrote my first blog today. 🚀 While learning Python, I realized something surprising. The hardest part was not writing code. It was understanding why code that looked perfectly fine still failed with an error on the screen. That early struggle taught me an important lesson about patience, attention to detail, and problem-solving in programming. So I wrote a short blog reflecting on that experience and the small mistakes that beginners often face while learning Python. 💻 If you are starting your journey in programming or data analytics, you might find it relatable. I would love to hear your thoughts. Read the blog here: https://lnkd.in/dGZwBJhP #Python #DataAnalytics #Programming #LearningJourney

Start learning Python by writing code. Not by watching tutorials. Not by saving playlists. Actually writing code. Because Python looks simple on the surface... but the real value comes when you start using it. Most people stop at basics like: print statements loops if-else And then say "I know Python." But real understanding starts when you go deeper. When you learn things like: ●how data structures actually behave ●how functions organize logic ●how OOP helps structure real systems ●how APIs, files, and databases connect to code ●how automation and scripting solve real problems That's when Python starts becoming useful. This PDF is helpful because it doesn't just show syntax. It walks through Python step-by-step - from fundamentals to real-world concepts like APIs, file handling, multithreading, and more. :contentReference[oaicite:0]{index=0) So instead of jumping between random tutorials, you can build understanding in one structured flow. A simple way to use it: 1. Pick one concept 2. Write code for it 3. Modify it and break it 4. Try to apply it in a small use case That's how skills actually stick. Because Python is not about knowing everything. It's about being able to use it when needed. And that only happens through practice. Not passive learning. Save this sheet so you can revisit it while practicing. Comment #Python and I'll send the full PDF. Follow MOHAMMED DILNAWAZ for More..

Beginner Tip for Learning Python (Most People Ignore This) Many beginners think learning programming means memorizing syntax. But the real progress happens when you understand how code works and how to reuse it efficiently. 4 simple principles that accelerated my Python learning! 1️⃣ Practice, don’t just read Reading tutorials is helpful, but writing code daily is what builds real understanding. Even small exercises improve your logic. 2️⃣ Learn debugging early Errors are not failures they’re learning signals. Debugging teaches you how Python actually thinks. 3️⃣ Break problems into smaller pieces Compartmentalizing complex problems into smaller steps makes coding much easier and faster to learn. 4️⃣ Master functions early Functions are one of the most powerful concepts in Python. def → defines a function Function → reusable code for a specific task return → sends the result back for later use Reusability → write code once, use it many times Example: def add_numbers(a, b): return a + b Instead of rewriting the same logic repeatedly, you define it once and reuse it everywhere. 💡 That’s when coding becomes efficient, scalable, and powerful. For beginners learning Python: Focus less on memorizing and more on thinking like a problem solver. #Python #Coding #Programming #DataAnalytics #LearnToCode #TechCareers #AI #ContinuousLearning

Most people learning Python struggle with one thing: Classes. This is not due to how class definitions function or their complexity, but is mainly because they are typically explained in a complicated fashion. I recently shared an article where I break down Python classes in the simplest way possible — from basics to intuition, without unnecessary jargon. Furthermore, understanding class definitions is important in Python and as such is also a requirement when writing scalable/dependable systems. If you're learning Python or transitioning into ML, this will make things much clearer. What concept in Python took you the longest to truly understand? ♻️ Repost if you’re betting on yourself this time. ➕ Follow me, Samith Chimminiyan, for such ML-related content.  Learning in public 🚀 #Python #MachineLearning #DataScience #Programming #OOP #LearnToCode #Developers

🚀 Building strong fundamentals in Python! I recently published a blog on Python Operators, one of the most important concepts for beginners. If you are confused about: 🔸 How arithmetic operators work   🔸 How comparison operators help in decision-making   🔸 How logical operators combine conditions   This blog explains everything with simple examples and clear logic. 🔗 Check it out: https://lnkd.in/dk4i_tHS Let’s keep learning and growing together #Python #CodingJourney #Programming #Beginners #DataStructures #Internship Innomatics Research Labs

🐍 Before you write your first line of Python — you need to understand the why behind it. I wrote a Day 0 blog that builds the foundation most learning journeys skip! Here's what's inside: ✅ What Python actually is (honest answer, not marketing) ✅ How Python compares to Java, C++, Go — where it fits ✅ 8 real domains where Python is used in production ✅ Why non-developers should still learn Python ✅ Career scope & salary reality in 2026 ✅ How to install Python & set up VS Code the right way If you're starting Python — or restarting — this is the foundation you need. 👉 ⭐ Read it here: https://lnkd.in/gP_h4sew Drop a 🐍 in the comments if you're learning Python this year! #Python #DevOps #CloudEngineering #Programming #LearnToCode #MrCloudBook