Exploring Intermediate Python step by step 🧠💻 Today’s focus: 🔹 List Comprehensions 🔹 Lambda Functions 🔹 Map & Filter 🔹 Virtual Environments Small improvements → Big impact 🚀 #SelfLearning #PythonProgramming #DeveloperLife #GrowthMindset
Ajit Madihalli’s Post
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Day 11 of my Build in Public journey 🚀 Here’s what I worked on today 👇 💻 Python • Learned about built-in exceptions • How to work with user-defined exceptions • Explored how to handle exceptions globally Staying consistent. #BuildInPublic #100DaysOfCode #LearningInPublic #Consistency
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I can't share the stuff I see in Slack just yet. But I can predict one thing: the future is more power to the Python widgets, not less.
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Just finished implementing an Event Scheduler in Python for my Algorithm Engineering class! This project explored the trade-offs between Heaps (priority), Hash Tables (speed), and Balanced Trees (order) to build a scalable system. Here is a video of the program running with a sample data. #Python #DataStructures #AlgorithmEngineering #CSUF #Spring2026
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🚀 Day 58 Today I learned about Generators in Python and how they work differently from normal functions. Explored concepts like: 🔹 "yield" keyword 🔹 Generating values one by one 🔹 Memory-efficient execution 🔹 Lazy iteration It was interesting to see how Python can handle large sequences without storing everything at once Still learning step by step and trying to understand how things work behind the scenes #Day58 #Python #Generators #CodingJourney #LearningInPublic #Consistency
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Day 10 – Python Deep Dive 🚀 Topic: Loop Control break → exit loop continue → skip iteration 👉 Key takeaway: Gives control over loop execution. #Python #CodingJourney
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🚀 #100DaysOfPython – Day 3: Lambda Functions 👉 Lambda = small anonymous function (one line) Example: add = lambda a, b: a + b print(add(2, 3)) # 5 Used commonly with: nums = [1, 2, 3, 4] squared = list(map(lambda x: x*x, nums)) ✨ Short and quick ✨ Useful for simple operations ⚠️ But here’s the catch: If your logic is more than one line → use a normal function. 🔍 My takeaway: Lambdas are great for simple transformations, not for complex logic. Read more: https://lnkd.in/eSSCUfmi #Python #Coding #100DaysOfCode #Developer
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💻 Just built a Typing Speed Tester using Python! It calculates words per minute (WPM), tracks accuracy, and provides instant feedback to enhance typing performance. A great project to practice logic building and real-time user interaction. #PythonDeveloper #LearningByDoing #Projects #100DaysOfCode
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🚀 Day 2/30 – Stack & Queue Implementation using Python 🐍📚 Continuing my 30 Days Python Challenge with one of the most important Data Structures fundamentals! Today, I built a Stack & Queue implementation in Python to strengthen my understanding of LIFO and FIFO concepts, along with how data flows in real-world applications 💻 What I focused on today: ✨ Implementing Stack operations: push, pop, peek ✨ Implementing Queue operations: enqueue, dequeue ✨ Strengthening DSA logic and problem-solving skills This challenge is all about consistency, learning in public, and becoming better every single day 🚀 👉 Would love your feedback! Day 3 coming tomorrow… stay tuned 👀 #Python #30DaysChallenge #PythonProjects #DataStructures #Stack #Queue #CodingJourney #LearnPython #BuildInPublic #ProblemSolving
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Day 7 – Python Deep Dive 🚀 Topic: Conditional Logic Example: if age > 18 and age < 60: 👉 Key takeaway: Logical operators (and, or, not) are powerful tools. Used in real-world decision systems.
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