Bikki Singh’s Post

Mistakes I Made in My First Week of Python (Python Learning Journey – Day 6) My first week of learning Python taught me something important: → Mistakes are not interruptions. → They are part of the process. Looking back, I can clearly see a few mistakes I made early on. The first was trying to move too fast. I wanted quick progress, so I jumped between topics without fully understanding the basics. The second mistake was avoiding errors. Whenever something broke, my instinct was to change the code randomly instead of reading the error message properly. The third mistake was comparing my progress with others. That comparison created unnecessary pressure and distracted me from my own learning pace. Python made these mistakes visible in a good way. Each error forced me to slow down, read carefully, and think logically. This week taught me that learning programming is not about avoiding mistakes. It’s about learning how to respond to them. Now my focus is simple: → Understand before rushing → Read errors instead of fearing them → Measure progress by consistency, not speed If you’re in your first week of Python and things feel messy, that’s normal. Clarity comes after confusion. What was the biggest mistake you made when you started learning to code? #Day6 #PythonJourney #LearningInPublic #BeginnerMistakes #DebuggingLife #CodingMindset #DeveloperGrowth #TechLearning #Consistency

I learned Python all the way through OOP and felt like a pro. Then I didn't touch it for months. When I finally opened my editor again, even the basics felt foreign. Simple loops, list methods—it was like my knowledge had been silently erased. That's when it hit me: Not reinforcing a new skill is one of the biggest pitfalls in learning. Your brain treats fresh knowledge as temporary unless you signal it's important. If you're learning SQL, Python, Pandas, or anything new: • Use it within 24 hours of learning it. • Revisit it in a week, even for 10 minutes. • Build a tiny project around it. Revision isn't just review—it's the process of moving knowledge from your short-term memory to your long-term toolkit. Has this ever happened to you? What did you forget that surprised you? #Learning #Python #DataAnalysis #CareerGrowth #Programming #ContinuousLearning

DAY 2: Understanding Identifiers in Python Yesterday we talked about variables. Today, let’s go one level deeper and understand identifiers — something many learners confuse. An identifier is simply the name we give to something in a Python program. It can be the name of: a variable a function or any object in Python Example: age = 10 Here: age is the identifier 10 is the value So, an identifier is not the value — it is the label or name used to access the value. Rules of Identifiers (very important) In Python: Identifiers cannot contain spaces They can use letters, numbers, and underscores (_) They cannot start with a number They are case-sensitive Valid identifiers: student_name age1 total_marks Invalid identifiers: 1age ❌ student name ❌ class ❌ (keyword) Why identifiers matter Good identifiers make your code: easier to read easier to teach easier to debug As a teacher, I always remind learners: Code is read more times than it is written. 🧩 Key takeaway A variable is made up of: an identifier (the name) a value (the data) If you name things well, Python becomes clearer and more powerful. #PythonBasics #Identifiers #ProgrammingEducation #LearnToCode #TeacherInTech #CodeWithClarity

🚀 Python Learning Journey – Building from Basics 🚀 Recently, I shared a post about the Python library I created as part of my learning journey. Behind that library, I am continuously strengthening my Python fundamentals, and lately I’ve been focusing on: 🔹 Python Lists - Indexing & slicing - List methods (append, insert, pop, remove, etc.) - Iteration using for and while loops 🔹 Python Tuples - Understanding immutability - When to use tuple vs list - Tuple methods: count() and index() 🔹 Python Operators - Learned that ** (double asterisk) is used for exponentiation I believe building strong basics is essential before moving into advanced development and data-related work. Learning by writing code, debugging errors, and improving step by step 💻 Looking forward to applying these concepts more deeply in future updates and projects. #Python #PythonLibrary #LearningJourney #Programming #Coding #Beginners #SoftwareDevelopment

📦 Day 33 — Learning Python 🐍 Today I studied Python Delete Files — the RIGHT way ✅ Earlier, I thought just deleting a file is simple ❌ and Python doesn’t need any checks 🤦♂️ Today it finally clicked 💡 Deleting a file in Python = Not just remove — but check first, then delete safely. ❌ Earlier mistake • I once deleted the wrong file because I didn’t check first ✅ What I learned today • Use os.remove() to delete files • Always check file existence before deleting • Handle errors using try-except 🔹 One clear lesson: Never delete files blindly in real projects — always verify first. 👉 I’m learning Python daily in public. If you’re a beginner, follow — we’ll learn together. #Python #DataAnalytics #LearningInPublic #Coding #Beginners

Python Fundamentals Part 4: For Loops Just published: How to calculate total expenses using loops! What you'll learn: For loops explained simply Lists and how to use them The accumulator pattern Real-world applications Read here: https://lnkd.in/gvQRf6Zw Part of my Python basics revision journey. Perfect for beginners or anyone refreshing fundamentals! Let's learn together! #Python #Programming #LearnToCode #ForLoops

Python Basics – FAQs (Week 2 Learning Recap) 🐍 Strengthening fundamentals is the key to mastering Python. Here are some important Python FAQs that every beginner should know: 🔹 Lists & Indexing Indexing always starts from 0, even in nested (sub-level) lists Lists are mutable – values can be changed remove() deletes only the first occurrence pop() removes and returns the element 🔹 Tuples & Sets Tuples are immutable Combined tuples don’t update automatically unless stored Sets are unordered, unique, and don’t allow duplicates 🔹 Strings Strings are immutable sequences of Unicode characters Can be created using single, double, or triple quotes Printed easily using print() 🔹 range() Function Used mainly for looping Works with start, stop, and step Ends at stop – 1 🔹 Tools & Setup Spyder can be installed via Anaconda Navigator Lecture slides & videos are available under the respective download tabs 📌 These small concepts make a big difference when writing clean and efficient Python code. 💡 Keep learning. Keep coding. One concept at a time! #Python #PythonBasics #Programming #LearningPython #CodingJourney #ECE #StudentLife #TechSkills #FAQs #Anaconda

🐍 Python Tip for Beginners – Swap Variables Like a Pro! Post #13 Did you know Python lets you swap two variables in just one line — without using a temporary variable or complicated math? 👉 Instead of the traditional method: Python temp = a a = b b = temp ✨ Python gives us a cleaner way: Python a, b = b, a This works because of tuple packing and unpacking — one of the coolest and most elegant features in Python. 💡 Why this is awesome for beginners: ✔ Cleaner code ✔ Less memory usage ✔ Fewer operations ✔ Easy to read & write Small tricks like this make Python powerful and fun to learn. Keep exploring — every concept unlocks a smarter way to code 🚀 What Python trick surprised you the most when you first learned it? Drop it in the comments 👇 #Python #PythonProgramming #LearnPython #PythonForBeginners #Coding #Programming #Developer #SoftwareDevelopment #CodeNewbie #100DaysOfCode #WomenWhoCode #Tech #CodingLife #ProgrammerLife #Developers #PythonTips #CodingTips #LearnToCode #CodingJourney #TechCommunity #ComputerScience #DataScience #AI #MachineLearning #WebDevelopment #BackendDevelopment #FullStackDeveloper #ProgrammingLife #CodeDaily #CodeSnippet #CodingIsFun #FutureDeveloper #ITCareer #EngineeringLife #DevCommunity #TechEducation #OnlineLearning #SelfTaughtDeveloper #BeginnerProgrammer #CodingMotivation #ProgrammersOfLinkedIn #SoftwareEngineer #TechSkills #Upskill #CareerInTech #DigitalSkills #STEM #PythonDeveloper #OpenToWork #StudentDeveloper

🐍 Python for Beginners – Post 5/123 📌 Mastering Python Lists | Beginner’s Guide Lists are one of the most powerful and frequently used data structures in Python. In Post 5, you’ll learn: ✅ What Python lists are & why they’re important ✅ Indexing (positive & negative) ✅ Adding elements → append() | insert() ✅ Removing elements → remove() | pop() ✅ Useful built-in functions → min() | max() | sum() ✅ List modification methods → sort() | extend() | clear() If you understand lists, 50% of Python logic becomes easier 💡 📌 Save this post if you’re learning Python 🔁 Repost to help beginners in your network 💬 Comment “LISTS” if you want practice questions next 🚀 Follow for the complete Python from Scratch (123 posts) series #Python #PythonForBeginners #LearnPython #PythonLists #DataStructures #CodingForBeginners #ProgrammingBasics #SoftwareDevelopment #DeveloperSkills #TechLearning #UpskillYourself #100DaysOfCode #CodeNewbie #DeveloperCommunity #LinkedInLearning