Forgetting Code as a Beginner: A Normal Part of Learning

🚀 Day 145 of My Coding Journey Today, I practiced and implemented the Linear Search Algorithm in Python 🐍. 🔍 Linear search is one of the simplest searching techniques where we check each element in the list sequentially until the target element is found or the list ends. 💡 Key Highlights: Iterates through each element one by one Returns the index when the target is found Time Complexity: O(n) Useful for small or unsorted datasets 🧠 What I Learned: Understanding basic algorithms like linear search strengthens problem-solving skills and builds a strong foundation for more advanced concepts like binary search and hashing. 💻 Code Snippet: def lin_search(arr, target): for i in range(len(arr)): if arr[i] == target: return f"{True}: {i}" return -1 target = int(input("Enter target: ")) print(lin_search([1,2,45,6,76,87,54,8,98], target)) 📌 Consistency is key — small steps every day lead to big improvements! #Python #CodingJourney #100DaysOfCode #DataStructures #Algorithms #Learning #Consistency #Programming dont give the code again Here’s your refined LinkedIn post without the code: 🚀 Day 145 of My Coding Journey Today, I focused on understanding and implementing the Linear Search Algorithm in Python 🐍. 🔍 Linear search is a straightforward technique where each element is checked sequentially until the target is found or the list ends. 💡 Key Takeaways: Simple and easy to implement Works on both sorted and unsorted data Time Complexity: O(n) Not the most efficient for large datasets, but great for building fundamentals 🧠 What I Learned: Revisiting basic algorithms like linear search helps reinforce core problem-solving skills and prepares me for more optimized searching techniques in the future. 📌 Staying consistent and improving step by step! #Python #CodingJourney #100DaysOfCode #DataStructures #Algorithms #Learning #Consistency #Programming Rudra Sravan kumar Sagar Bomburi 10000 Coders

Day 4 of building my skills in IT Automation with Python. 🐍 Today was the most packed day so far; and honestly the one where everything started connecting. Here's what I covered: 🔹 Strings ; what they are, how indexing and slicing works, string methods and formatting. Small tools; powerful results. 🔹 Lists ; storing and modifying collections of data, working with tuples, knowing when to use which. This is where you start thinking in groups not just individual values. 🔹 Dictionaries ; key-value pairs that give your data structure. The moment this clicked; everything about how Python handles data made sense. 🔹 Loops & Recursion ; loops remove repetition, recursion breaks big problems into smaller ones. Combine these with lists and dictionaries and you start seeing how real automation works. 🔹 OOP (bonus) ; classes, methods, constructors. Code as objects that interact rather than just instructions. Deep rabbit hole; worth every minute. This quote from Margarita, Site Reliability Engineer @ Google hit different today: "My 'good enough' solution was really as good as it could get." Sometimes functional beats perfect. 💡 It's not separate topics anymore. It's one language. And that's when you know the foundation is holding. Dropping the docs for anyone following along 👇 📌 Mapping Types - dict ; python.org 📌 Python Dictionaries ; w3schools.com 📌 Common Sequence Operations ; python.org 📌 Lists & Tuples ; python.org Grateful to Mentor Me Collective and Chanel Power 💡🌍 for the structure, access and mentorship making this possible. 🙏 Let's keep going. 🚀 #Python #ITAutomation #BuildInPublic #LearningInPublic #MentorMeCollective #ChanelPower #TechJourney #Cameroon

🐍 Python isn’t just a language. It’s a superpower. Whether you're automating spreadsheets, building a web app, or diving into AI/ML — Python makes the complex feel simple. Here’s why I believe Python is the #1 language to learn (or level up) in 2024 👇 ✅ Readable like English – Less time deciphering syntax, more time solving real problems. ✅ Huge ecosystem – From Pandas to FastAPI, PyTorch to Django… there’s a library for almost everything. ✅ Community-first – Stuck? Someone’s already solved it. And probably posted a tutorial. ✅ High salary potential – Python devs are consistently among the top-paid engineers. 💡 My advice for beginners: Start with a small automation project (rename files, scrape a website, send emails). You’ll learn more in 2 hours than 2 weeks of passive tutorials. If you’re already in the Python world — what’s one library or tip you’d recommend to someone just starting out? Let’s help each other grow. 👇🐍 #Python #Programming #CodingJourney #TechCareers #LearnToCode

🚨 Unpopular Opinion: Most beginners don’t fail in Python because it’s “hard”… They fail because they ignore functions. 🔁 Day 7 (Revisited) — Not moving forward. Fixing my foundation. Instead of moving ahead blindly, I took a step back today to revise one of the most important concepts: Functions. Because honestly… 👉 If your functions are weak, your entire code structure is weak. 💡 Here’s the truth most tutorials don’t tell you: If you don’t understand functions deeply, you’ll struggle with: ❌ Clean code ❌ Real-world projects ❌ Machine Learning pipelines ⚙️ My quick revision: • Functions = Reusable logic blocks • Flow = Input → Process → Output • Structure = Define once → Call anytime ⚙️ Types of Arguments (Game Changer): • Positional → Order matters • Default → Predefined values • Keyword → Name-based (clean & readable) • *args → Multiple inputs (tuple) • **kwargs → Flexible key-value inputs (dict) 🧠 Big takeaway: Functions are not just syntax… They’re the foundation of modular thinking in Data Science, ML pipelines, and real-world applications. 📌 Sometimes growth is not about learning new things… It’s about strengthening the basics. 🚀 Back to the journey tomorrow! #Python #LearningInPublic #100DaysOfCode #DataScience #MachineLearning #CodingJourney #Developers #Tech

🚀 Excited to share something we’ve been working on for quite some time… After months of writing, refining, and building real examples, our book is now live: Python Beyond the Basics From Beginner to Advanced with Real Projects 🔗 Read it here: https://a.co/d/0elxazKZ Co-authored with Prakriti Yadav — this has been a collaborative effort driven by a shared goal: to create a resource that actually helps people move beyond just “learning syntax” to building real-world solutions. 💡 Why we wrote this book Over the years, one thing became very clear: Most Python resources either simplify things too much or make them unnecessarily complex. Very few actually connect: ➡ fundamentals ➡ real-world applications ➡ industry-level thinking This book is our attempt to bridge that gap. 📘 What you can expect inside • Clear, structured Python fundamentals • Core concepts explained with practical clarity • Advanced topics like decorators, generators, async • Real-world development using Flask & FastAPI • Working with data using NumPy & Pandas • Hands-on projects to reinforce learning • A strong foundation for AI/ML applications 🎯 Who this is for Whether you’re: • just starting out • self-learning and stuck in tutorials • preparing for interviews • or transitioning into AI/ML This book is designed to guide you step by step - without overwhelming you. This isn’t just a book about Python. It’s about building the ability to think, solve, and create using Python. If you get a chance to check it out, we’d love your feedback. And if you find it useful, feel free to share it with someone who might benefit from it. #Python #AI #MachineLearning #DataScience #SoftwareEngineering #Developers #Learning #Tech #Programming

*Day 3 of my 21-day consistency challenge 🚀* *One thing I struggled with while learning Python…* I am still learning Python, and honestly… it humbled me 😅 At first, I thought it was just about writing simple lines of code. But when I started, I quickly realized it was more than that. My biggest struggles? 👉 Understanding the syntax 👉 And importing libraries I’d see things like: import pandas as pd import numpy as np And I’d wonder… “What exactly am I importing?” “Why do I need this?” Then came the errors… Sometimes I’d miss a small detail—like a colon, indentation, or bracket—and everything would stop working. Other times, I’d forget to import a library, and my code wouldn’t run at all. It was frustrating. There were moments I just stared at my screen thinking, “What am I doing wrong?” But over time, I started to understand something: Python isn’t just about typing code… It’s about thinking logically and paying attention to details. And libraries? They’re like tools that make your work easier and more powerful—you just have to learn how to use them. So I changed my approach: – I started practicing small codes – I paid attention to error messages – I focused on understanding, not rushing I’m still a beginner. Still making mistakes. But I’m no longer afraid of errors or confused by libraries. Because now I know—it’s all part of the process. If you’re learning Python and it feels hard, you’re not alone. What’s something that confused you when you were starting out? Yabatech Digital Technology Academy Ibraheem Adedotun Abdul #Day3 #Python #DataAnalytics #LearningJourney #GrowthMindset #LearningInPublic

How do you decide which learning materials to recommend to your team members or junior engineers? I’ve been revisiting Python over the past few weeks and just finished the full Python track on Codecademy. My goal was less to “tick the box” and more to structure the fundamentals and make sure I’m not missing any gaps before going deeper into Data / AI / automation. The course seemed solid, but it made me curious how other people approach this. What has worked best in your experience: - platforms like Codecademy / Udemy - books - building real projects - LeetCode / Codewars - something else entirely? I’m especially interested in resources that teach not just syntax, but also good practices and the way of thinking behind writing solid Python code.

🚀 Excited to announce something new! Starting tomorrow, I’m launching a 60‑Day Python Learning Series right here on LinkedIn. Each day, I’ll share: + Practical Python concepts + Real-world examples + Tips for writing cleaner, smarter code + Mini challenges to help you grow My goal is simple: share knowledge, learn together, and contribute to the developer community. Over the years, many beginners have asked me: “How do I start thinking like a programmer?” Here’s the truth - it starts with having something in your mind that you can use, practice, and play with. Learning one programming language deeply and solving problems with it trains your brain to think logically. Once you build that mindset, picking up other languages becomes much easier. This series isn’t just about Python. It’s about learning to think like a programmer, becoming flexible, and building confidence through consistent practice. So let’s begin. I’ll be dropping Python content every day for the next 60 days. Day 1 drops tomorrow. Let’s do this - understand it, master it, and use it. #python #programming #ai #bigtech

Stop scrolling. Start building. Most beginners think coding is hard. Reality? It’s just misunderstood. I recently went through a complete Python beginner roadmap and here’s what stood out 👇 • Programming is not magic — it’s just giving instructions to a machine • Python is one of the simplest languages to start with (clean, readable, powerful) • You don’t need to memorize everything — just understand the logic The real game-changer? Consistency > Intelligence You start with: print("Hello World") Then slowly move to: • Variables • Data types • Conditions • Loops • Functions And before you realize… You’re building real things. Most people quit because they overcomplicate learning. Don’t. Keep it simple: Learn → Practice → Build → Repeat That’s it. If you’re starting your coding journey in 2026, Python is still one of the smartest entry points. Not because it’s easy… But because it lets you focus on thinking, not syntax. And in the AI era, that’s your biggest advantage. Start today. Even 30 minutes is enough. Your future self will thank you. Follow Himanshu Choure for more.. #Python #Coding #Programming #Developers #Tech #LearnToCode #AI #CareerGrowth #Students #100DaysOfCode

🐍 Python Roadmap for 2026 If you're starting your coding journey or feeling stuck… here’s a simple path to follow 👇 🔹 Start with Basics Syntax, variables, data types, conditionals, functions — build your foundation strong. 🔹 Move to OOP Understand classes, objects, and inheritance — this is where real programming begins. 🔹 Learn Data Structures & Algorithms Arrays, stacks, queues, trees — this sharpens your problem-solving skills. 🔹 Explore Automation Automate tasks like file handling, web scraping, and repetitive workflows. 🔹 Try Web Development Build real apps using Flask, Django, or FastAPI. 🔹 Dive into Data Science Work with NumPy, Pandas, and ML libraries like TensorFlow or PyTorch. 🔹 Understand Advanced Concepts Generators, decorators, and regex — level up your coding skills. 🔹 Manage Packages Learn pip, conda, and how to handle dependencies like a pro. 💡 Don’t try to learn everything at once. Consistency > Speed. Build projects. Break things. Fix them. Repeat. 👉 Which step are you currently on? #Python #Programming #CodingJourney #DataScience #WebDevelopment #MachineLearning #LearnToCode #Developers #TechSkills #CareerGrowth