Many developers start their journey with Python. I started differently. Before touching Python, I built my foundation with C, C++, Data Structures, and STL. Learning low-level concepts first helped me understand: • How memory actually works • Time and space complexity • How data structures behave internally • Why efficiency matters Now, when I use higher-level languages, I don’t just write code — I understand what’s happening underneath. Strong foundations create strong engineers. Still learning. Still improving. 🚀 #ProgrammingJourney #CProgramming #CPP #DataStructures #STL #DSA #ProblemSolving #CodingLife #ComputerScience #SoftwareDevelopment #BackendDevelopment #100DaysOfCode #TechJourney #LearningNeverStops #BuildStrongFoundation
Building Strong Foundations in C, C++, and Data Structures
More Relevant Posts
-
🧬 Inheritance in Python – 5 Powerful Types Every Developer Should Know 🐍 Inheritance is what makes OOPS truly powerful — it allows classes to reuse, extend, and scale code efficiently. This visual explains all major types clearly 👇 ✅ Single Inheritance – one parent → one child ✅ Multiple Inheritance – multiple parents → one child ✅ Multilevel Inheritance – chain of inheritance ✅ Hierarchical Inheritance – one parent → many children ✅ Hybrid Inheritance – combination of structures 💡 Why it matters in real projects: • Reduces duplicate code • Improves scalability • Makes systems easier to maintain 📌 Save this for revision 🔁 Repost to help Python learners 💬 Comment OOPS for the next concept in the series #Python #OOPS #Inheritance #PythonProgramming #LearnPython #CodingConcepts #SoftwareDeveloper #DeveloperJourney #ITStudents #TechSkills #ObjectOrientedProgramming #CodingLife #ProgrammingBasics
To view or add a comment, sign in
-
-
Advanced Python 2026 (Part 1) is Live Most developers think “advanced” means complex algorithms. It doesn’t. Advanced Python means: • Writing modular, maintainable code • Designing systems, not scripts • Handling errors properly • Building software that scales In Part 1, we focus on the most important upgrade you can make in 2026: Moving from beginner thinking to professional engineering mindset. If you're serious about building production-ready applications — this series is for you. Read Part 1 here: https://lnkd.in/dx266DPs #Python #Programming #JMSM #KNKA #SoftwareDevelopment #BackendDevelopment #Coding #Developers #TechEducation #AI #MachineLearning #Python2026
To view or add a comment, sign in
-
-
📚 New article just published on SYUTHD! 🔖 Python 3.14 No-GIL Performance: How to Build Truly Parallel Multi-Core Applications 🏷️ Category: Python Programming 📖 Full article → https://lnkd.in/gDp8_fNq 👉 Follow our page for more tech tutorials: https://lnkd.in/gsJDptPM 💬 Telegram: https://t.me/nisethtechno 👍 Facebook: https://lnkd.in/gsKv3Dyn #PythonProgramming #Tech #Tutorial #Programming #TechBlog #2026
To view or add a comment, sign in
-
🔥 Python Logical Operators Made Simple (AND • OR • NOT) 🔥 If you're starting your Python journey, understanding logical operators is a MUST. They help your program make decisions — just like humans do. ✅ AND — All conditions must be TRUE age = 20 has_id = True if age >= 18 and has_id: print("Allowed") 👉 Output: Allowed ✅ OR — At least one condition must be TRUE is_student = False has_discount_card = True if is_student or has_discount_card: print("Discount Applied") 👉 Output: Discount Applied ✅ NOT — Reverses the condition is_logged_in = False if not is_logged_in: print("Please log in") 👉 Output: Please log in 💡 In simple words: AND → All must be true OR → Any one is enough NOT → Opposite of the condition Master these, and you’ll unlock real programming logic 🚀 #Python #Programming #Coding #LearnToCode #Developer #100DaysOfCode
To view or add a comment, sign in
-
If you’re learning Python, don’t skip this concept. 👉 Virtual Environments They keep your projects isolated, organized, and conflict-free. Virtual I made a quick guide explaining everything from creation to dependency sharing. Perfect for beginners in Python & Data Science. #PythonDeveloper #Programming #MachineLearning #DataScience
To view or add a comment, sign in
-
Python Journey — Day 13 | Functions with Numbers, Strings & Lists Today I continued practicing functions in Python by solving different logical problems using reusable function-based solutions. Problems I solved : • Sum of digits of a number • Product of digits • Armstrong number check • Reverse a number • Palindrome number check • Count vowels in a string • Count consonants in a string • Perfect number check • Strong number check • Find largest element in a list • Remove duplicates from a list • Reverse a list • Find second largest element • Count even and odd numbers in a list I implemented these problems using functions along with loops and list and string logic to improve code reusability and structure. Thanks to Rudra Sravan kumar sir for the guidance and continuous support. Learning daily and getting more confident #Python #PythonDeveloper #1000Coders #Coding #LearningJourney #ProblemSolving #CodeEveryDay
To view or add a comment, sign in
-
🚀 Master Logic Building in Python – 6 Phases, Multiple Levels 🐍 POST 5️⃣ 🐍 👉Phase 1 – Conditional Thinking (If–Else, Boolean Logic) ⭕Phase 1️⃣: Level 5️⃣🔥Creative / Tricky Logical Scenarios 🐱Github : https://lnkd.in/gvEDCkpz 🐱🐱Completed the Phase 1️⃣ all Level 1️⃣ to 5️⃣🐱🐱 #Python #LogicBuilding #CodingMindset #LearningSeries #Learning #Everyday #Coding #Programming
To view or add a comment, sign in
-
🔍 Find Common Elements in Two Lists — Pure Python Logic (No Sets!) Sometimes the best way to learn is to build logic from scratch! 🧠 Here's a simple program that finds common elements between two lists without using Python's built-in 'set()' — just clean loops and conditionals. 💡 Why This Matters: Before using shortcuts like 'set()', understanding "how" the logic works behind the scenes builds stronger fundamentals. This exercise teaches: - Looping through lists - Membership checking with 'in.' - Building results step by step - Thinking like a programmer 📌 Challenge for You: How would you modify this to: - Keep unique common elements (remove duplicates)? - Count how many times each common element appears? - Make it work with three lists? #Python #Coding #Programming #LearnPython #Developer #Tech #ListManipulation #ProblemSolving #BeginnerProjects #PythonTips #CodingLife #SoftwareDevelopment #Day44
To view or add a comment, sign in
-
-
🐍 Python Fundamentals – Conditional Statements Explained If you're starting your journey in Python or network automation, understanding conditional logic is essential. In this video, I break down three important Python concepts step by step: 🔹 Conditional Statements (if, elif, else) 🔹 Understanding Indented Blocks in Python 🔹 Nested Conditions and how they work These fundamentals are the building blocks for: ✅ Writing automation scripts ✅ Making logical decisions in code ✅ Building real Python programs Perfect for: Beginners learning Python Network engineers moving toward automation Anyone starting programming fundamentals 📌 Watch the full video and start strengthening your Python basics. https://lnkd.in/gg3jcZti Tech CNC | Core Networking Classes #Python #PythonForBeginners #Programming #Automation #NetworkAutomation #Coding #DevNet #ITCareers
Conditional Statement | Indented Block | Nested | Part-2 | Python | CNC | Core Networking Classes
https://www.youtube.com/
To view or add a comment, sign in
-
💡Today I explored Encapsulation in Python a core concept of OOPS that helps keep data secure and accessible only through controlled methods. Hide data * Control access Protect information Small concepts like this build strong programming foundations. #Python #OOPS #Encapsulation #Coding Journey #Learning #tapacademy #python
To view or add a comment, sign in
-
Explore related topics
Explore content categories
- Career
- Productivity
- Finance
- Soft Skills & Emotional Intelligence
- Project Management
- Education
- Technology
- Leadership
- Ecommerce
- User Experience
- Recruitment & HR
- Customer Experience
- Real Estate
- Marketing
- Sales
- Retail & Merchandising
- Science
- Supply Chain Management
- Future Of Work
- Consulting
- Writing
- Economics
- Artificial Intelligence
- Employee Experience
- Workplace Trends
- Fundraising
- Networking
- Corporate Social Responsibility
- Negotiation
- Communication
- Engineering
- Hospitality & Tourism
- Business Strategy
- Change Management
- Organizational Culture
- Design
- Innovation
- Event Planning
- Training & Development