Common mistakes beginners make when learning to code

Want to actually get BETTER at Python instead of just reading about it? These 12 beginner coding challenges might be your answer. Look, we've all been there - you read the books, watch the tutorials, nod along to the concepts... and then sit down to write actual code and suddenly feel like you've forgotten everything! 😅 The reality is that coding isn't a spectator sport. Simple challenges like converting radians to degrees or hiding digits in a credit card number teach you more than hours of passive learning. What I love about these beginner challenges is they're small enough to tackle in your lunch break but practical enough to build genuine skills that transfer directly to real projects. This is exactly how I approach training junior devs at Real Code - bite-sized problems that teach core concepts without overwhelming them. Have you tried coding challenges as part of your learning or teaching? What's worked best for your team? Drop me a DM - I'm always looking to improve our training approach (and might nick your good ideas! 😉) #PythonProgramming #CodeChallenges #SoftwareDevelopment #TechSkills https://lnkd.in/enVVBrbw

85% of people who start online programming courses never finish. It's not a motivation problem. It's a design problem. Here's the path most self-taught programmers take: Day 1: "I'll learn Python!" Day 7: Finished a tutorial. Now what? Day 14: Started another tutorial. Feels repetitive. Day 30: Watching videos. Not writing code. Day 60: Still can't build anything real. Here's what a structured 66-day path looks like: Day 1: print("Hello, World") Day 22: Build a data-driven CLI tool Day 44: Create a REST API with database Day 66: Deploy a production system—tested, monitored, live Same 66 days. Completely different outcome. The difference isn't talent. It's not fighting your own brain. Came across https://learntoday.me -- A Python curriculum built on this principle: ✓ One concept per day (60-90 minutes, then stop) ✓ Production context (real patterns, not toy examples) ✓ Clear milestones (so you never ask "what next?") And it's completely free. Day 1 is open without signup. From Day 2, you create an account (just email) so the platform can track your progress and keep you accountable. If you know someone stuck in tutorial hell or trying to break into tech, this might help: https://lnkd.in/g_p5qvrr #Python #LearnProgramming #CareerChange #FreeLearning #EdTech ------------------------------------------------------------------ Personal views. All content is my own.

"How I Found My First Programming Language" When I started my engineering journey, one of the first challenges I faced was deciding which programming language to learn. There was no clear roadmap. Just opinions. A lot of them. Like most beginners, I turned to tutorials, videos, and posts that promised the “best language to start with.” I began with C. It was challenging and concept-heavy, especially at a stage when I was still trying to understand how programming actually works. Then I shifted to web development. HTML, CSS, and JavaScript looked exciting, but before I could build any real consistency, I moved on again. Next came Java, mainly because I was told it was ideal for learning DSA. By then, the constant switching had started to work against me. Different syntaxes, different paradigms, and no solid foundation. I wasn’t lacking effort. I was lacking direction. In my second semester, I decided to simplify things and choose Python. The syntax was clear. The learning curve felt manageable. Most importantly, I was finally writing code with confidence instead of just following tutorials. That experience taught me an important lesson: The first programming language doesn’t define your career. Consistency and clarity do. If you’re starting out, don’t overthink the “perfect” language. Pick one that helps you understand logic, problem-solving, and structure. Once the foundation is strong, switching becomes easier. Curious to know, what was the first programming language that truly helped you understand programming? #ComputerScience #ProgrammingJourney #LearningToCode #SoftwareEngineering #CSStudents #Python #CareerGrowth

🚀 Day 13 of #100DaysOfCode – Learning How to Debug Like a Developer! Today I continued Angela Yu’s 100 Days of Python course and focused on one of the most important skills in programming: Debugging 🐞➡️✅ 🔹 What I learned today: 🔹How to describe the problem clearly 🔹How to reproduce a bug 🔹“Play computer” and evaluate code line by line 🔹Using print() statements to trace issues 🔹Fixing errors by understanding red underlines 🔹Using a debugger and applying final debugging tips 🔹 Simple Debugging Examples: 1️⃣ Logic Error age = 15 if age > 18: print("Adult") else: print("Teen") ➡️ Bug: Condition excludes age 18 ✅ Fix: Use age >= 18 2️⃣ Type Error number = input("Enter a number: ") print(number + 5) ➡️ Bug: Cannot add string and integer ✅ Fix: number = int(input("Enter a number: ")) print(number + 5) 3️⃣ List Index Error fruits = ["apple", "banana"] print(fruits[2]) ➡️ Bug: Index out of range ✅ Fix: print(fruits[1]) 4️⃣ Dictionary Key Error student = {"name": "Abhishek", "age": 22} print(student["score"]) ➡️ Bug: Key does not exist ✅ Fix: print(student.get("score", "Key not found")) 5️⃣ Using print() to Debug for i in range(1, 5): print("Current value of i:", i) ➡️ Helps track how the loop runs step by step Learning debugging made me realize that errors are not failures—they’re clues. Every bug helps build better problem-solving skills. Excited to keep improving and move on to Day 14! 🚀 #Python #100DaysOfCode #LearningInPublic #CodingJourney

Tired of getting lost in complex tutorials without clear instructions? Frustrated by learning theoretical concepts that don't translate to solving real-world problems? Worried that the information you're getting isn't up-to-date in the fast-evolving tech world? You're not alone. Are You Ready to Transform Your Career with Python and Stand Out in the Competitive Tech Industry? 🎯 If you want to master Python from scratch, boost your programming skills, and secure high-paying job opportunities, “The Python Bible for Beginners” is the guide you've been waiting for. ⚙️ This comprehensive book eliminates these hurdles by offering a clear, step-by-step approach, ensuring you won't just learn Python—you'll master it. Updated and revised as of June 2024, every tutorial is current, accurate, and ready to make you a sought-after programming professional. Friendly, Jargon-Free Language: Designed for complete beginners, with easy-to-understand explanations. Step-by-Step Guidance: Learn from the basics and progress to advanced topics with confidence. All-In-One Solution: Structured like a true university course, covering basics to advanced techniques, including powerful libraries such as TensorFlow, NumPy, Sklearn, Keras, Matplotlib, and more. Practical Learning: Code snippets, hands-on exercises, and real-world examples to solidify your understanding and skills. Updated Content (June 2024): Fully revised and updated to ensure accuracy and relevance in today's tech landscape. #PythonForBeginners #MasterIn7Days

As a beginner learning Python, one lesson has stood out to me very early on: there’s no single “right” way to write code. Two people can try to build the same thing — for example, a WhatsApp clone — and still end up writing completely different code. The final product might look and behave the same, but the thinking, structure, and approach behind it can be very different. That’s what I’m starting to appreciate about programming. Coding isn’t just about memorizing syntax or following a strict path. It leaves room for creativity, problem-solving, and personal thinking — even at the beginner level. You’re not only learning what to write, but how to think. I’m still learning, still practicing (not always consistently day by day), but this realization makes the journey feel more exciting and less intimidating. One line of code at a time. #LearningToCode #BeginnerProgrammer #PythonJourney #ProgrammingMindset #LearningInPublic

What if the very first Flask lesson could set the tone for your entire coding journey? Picture this. You open your laptop, type your first route, and suddenly the web does not feel abstract anymore. It feels buildable. Flask does that. And the first lesson can give beginners a surprising amount of confidence when it is framed right. Here is a simple way to look at what a beginner should walk away with after Lesson One. 1. Understanding what Flask really is The idea that Flask is a lightweight Python framework that helps you build web apps without forcing heavy structure. Just enough freedom and just enough guidance. 2. Knowing how to install it A sense of control begins here. Learning how to set up a virtual environment and install Flask gives beginners their first real win. 3. Exploring the basic anatomy of a Flask app What is an app object. What is a route. How does a simple function become a web page. Small things that unlock huge clarity. 4. Seeing the request response cycle come alive The moment a beginner hits run and sees localhost respond is often the moment everything clicks. 5. Building a tiny working project Even a simple hello world endpoint helps learners understand that web development is not magic. It is logic. If the first lesson gives clarity, confidence, and a working output, the journey ahead feels exciting instead of overwhelming. What was the first thing that made Flask feel approachable for you? #MiguelGrinberg #FlaskPalletsProjects, Real Python #CoreySchafer FreeCodeCamp #Flask #PythonLearning #WebDevelopment

🚀 Day 21 of Learning Python Today I explored some core OOP concepts that are extremely important for writing scalable and structured Python code. 🔹 What I learned today: 🔸 📌 Inheritance ▪️ Learned how one class can inherit properties and methods of another class ▪️ Used a parent class (Employee) and a child class (Programmer) ▪️ Understood how child classes can access parent class methods ▪️ Helps reduce code duplication and improves reusability 🔸 📌 Method Reusability ▪️ Accessed parent class methods using child class objects ▪️ Learned how inheritance makes code cleaner and easier to maintain 🔸 📌 Access Modifiers ▪️ Learned about Public, Private, and Protected access concepts in Python ▪️ Understood that by default variables and methods are public ▪️ Used single underscore (_) and double underscore (__) to control access 🔸 📌 Private Variables ▪️ Learned how name mangling works with private variables ▪️ Understood why private variables should not be accessed directly ▪️ Helps protect sensitive data inside a class 🔸 📌 Practical Practice ▪️ Created Employee and Programmer classes ▪️ Accessed inherited methods successfully ▪️ Implemented private variables inside a Student class ▪️ Tested accessibility of public vs private attributes 🔹 Key Learning: ▪️Inheritance and access control are the backbone of Object-Oriented Programming ▪️ These concepts help write secure, reusable, and professional code 🔥 Another solid step in the 30 Days of Python journey 💪 Consistency still strong On to Day 22 🔥 #Python #30DaysOfPython #OOP #Inheritance #AccessModifiers #CodingJourney #LearningEveryDay #Consistency 💻✨