🚀 Practicing Python Problem Solving Today I worked on a Python problem: 👉 “Given an array, count the number of subarrays (of size 1, 2, or full length) whose sum is present in the array.” While solving it, I: Handled single-element subarrays Checked adjacent subarrays of size 2 Verified whether the sum of the full array exists in the array itself Focused on writing clear, step-by-step logic instead of jumping straight to shortcuts I also recorded a short video explaining my thought process while coding, which really helped me reflect on how I approach problem solving. Consistent practice + explaining your logic = real learning 💡 #Python #ProblemSolving #DataAnalytics #LearningByDoing #CodingPractice
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🐍 Python concept in 10 seconds: A function is just: 👉 input goes in 👉 something happens 👉 output comes out That’s it. No magic. If you like learning Python this way — small, visual, and stress-free — 👉 Get one tiny lesson every morning: https://lnkd.in/dVNDF-xw #Python #LearnPython #Coding
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🚀 Python Practice | Tuple Logic (Without Built-ins) Today I practiced a core Python logic problem: 👉 Finding the maximum and minimum elements in a tuple without using built-in functions like max() or min(). 🔹 Initialized both max_val and min_val with the first element 🔹 Traversed the tuple using loops 🔹 Updated values using if conditions This kind of problem really helps in: -Strengthening loops & conditional logic -Understanding data structures deeply -Preparing for coding interviews and exams #Python #CodingPractice #PythonBasics #DataStructures #LearningByDoing #InterviewPreparation #Programming
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Learning Python by Building Logic, Not Just Syntax Today I practiced a simple but important Python concept: list manipulation and edge-case handling. I wrote a small function that swaps the first and last elements of a list: 🔍 What this helped me understand: How Python handles indexing (0 and -1) Using tuple unpacking to swap values cleanly Why edge cases matter (empty or single-element lists) Writing logic that is safe, readable, and efficient Small exercises like this may look simple, but they build the foundations for real problem-solving, especially when working with data. Consistent practice > memorising syntax. On to the next one 💪📘 #Python #LearningByDoing #ProblemSolving #ProgrammingBasics #DataEngineeringJourney 😇
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🚀 Day 7/30 – Mini Python App Challenge Built a Dice Roll Simulator 🎲 using Python. Features: • Random dice roll (1–6) • Roll again option Concepts used: random module, loops, user input GitHub 👇 🔗 https://lnkd.in/dCSFW_Hd #Python #LearningInPublic #30DaysOfCode #FunWithPython #coding #miniprojects #github #dailyposting #wednesdaymotivation
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Today I learned about the Ternary Conditional Operator in Python 🐍 It’s a short and clean way to write an if–else condition in a single line. Syntax: true_value if condition else false_value Example: result = "Pass" if marks >= 40 else "Fail" It does the same job as: if marks >= 40: result = "Pass" else: result = "Fail" Less code. Same logic. More readability (when used wisely). Small concept, but very useful in real projects. Learning one Python concept every day 🚀 #Python #DataScience #LearningInPublic #Programming #100DaysOfCode #CareerSwitch
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Built an interactive BMI Calculator using Python & Streamlit The app calculates BMI, shows category, and visualizes the result using a gauge chart. Tech Stack: Python | Streamlit | Plotly Currently learning Python and building small projects to strengthen my fundamentals. Feedback is welcome #Python #Streamlit #LearningByBuilding #StudentDeveloper
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🚀 Day 5 of Python Basics – Understanding float() Today I explored type conversion using the float() function in Python. 🔹 Converts numbers into decimal format 🔹 Useful when decimal precision is required 🔹 Commonly used in calculations like division, percentages, measurements, and financial data 🔹 Strengthens understanding of data types in Python Small concepts like type conversion play a big role in writing accurate and efficient programs. Learning step by step and building a strong foundation every day. 💻🐍 #Python #PythonBasics #CodingJourney #LearnToCode #30DaysOfCode
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Week-2 Learning Python is getting more interesting as the logic starts to click. This week, I worked on control flow, the part that decides what runs and when. What I covered: • Conditional statements (if, elif, else) • Iterative statements (for & while loops) These helped me understand how programs make decisions and repeat tasks automatically. Small concepts, but they change how you think while coding. Staying consistent and moving forward step by step #Python #LearningJourney #DataScience #ControlFlow #Consistency #KeepLearning
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Progress in Python improves significantly when learning is intentional and practical. Start with strong fundamentals, then apply them by writing small, focused programs on a regular basis. Use real problems to guide learning, read well-structured code to understand best practices, and treat debugging as a skill rather than a setback. Building simple projects, refactoring code, and maintaining consistency over time will lead to cleaner logic, better performance, and long-term confidence. #Python #ProgrammingTips #CodingBestPractices #SoftwareDevelopment #ProblemSolving #DeveloperGrowth
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