🐍 90 Days of Python – Day 17 Built-in Functions Today, I learned about built-in functions in Python, which help perform common tasks without writing extra code. Python provides many built-in functions that make programs shorter, cleaner, and more efficient. 🔹 Key built-in functions I explored today: • print() – display output • len() – get the length of data • type() – check data types • input() – take user input • range() – generate sequences of numbers Using built-in functions allows us to focus more on problem-solving rather than reinventing basic functionality. I’m practicing these functions to better understand how they simplify everyday coding tasks. 📌 Day 17 completed. Using built-in tools to write cleaner code. 👉 Which Python built-in function do you use the most? #90DaysOfPython #PythonLearning #LearningInPublic #PythonBasics #ProgrammingBasics #BTechCSE
90 Days of Python - Built-in Functions for Efficient Coding
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Python isn’t popular by accident , it’s powerful because of its simplicity and flexibility. Here’s a quick breakdown of the Top 7 Python data types every developer should master, from handling numbers and strings to structuring real-world data with lists, tuples, and dictionaries. At CourseCode, we focus on teaching Python the right way: ➡️ fundamentals first ➡️ practical examples ➡️ real-world application Whether you’re sharpening your skills or building production-ready systems, mastering data types is non negotiable. 🚀 Learn smart. Build better. 🔗 Project link: [ https://lnkd.in/dFSgX4f6 ] #Python #SoftwareEngineering #Programming #DataTypes #CourseCode #TechEducation
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Day 2 of Python. Building logic before libraries. Today I deliberately avoided Pandas and NumPy. Instead, I focused on the part that controls everything later: core Python logic. What I worked on: Variables and data types Lists, tuples, dictionaries, sets Conditional logic Loops and flow control The key realization: Libraries don’t make code powerful. Logic does. If logic is weak: Scripts break silently Pipelines fail unexpectedly Debugging becomes guesswork Strong Python fundamentals make everything easier later: Cleaner Pandas transformations Predictable data validation Reliable automation This phase is about training how I think, not what I import. Learning step by step and building confidence in how Python executes, not just how it looks. Tomorrow: functions, modular thinking, and reusable code blocks. If you work with Python: Which basic concept helped you the most early on? #datawithanurag #dataxbootcamp #python #pandas #numpy #datatypes
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Did you know you can specify data types in Python. Python may be dynamically typed, but you can still declare expected data types using type hints to make your code clearer and more professional. Example 👇 def my_func(age: int, name: str, is_active: bool) -> None: print(age, name, is_active) This does not enforce types at runtime, but it helps in many ways: ✅ Improves code readability ✅ Makes functions self-explanatory ✅ Helps IDEs catch mistakes early ✅ Essential for large and team-based projects Type hints are widely used in modern Python, especially in frameworks, APIs, and production-level code. Clean code isn’t just about making things work — it’s about making them understandable. #Python #TypeHints #CleanCode #Programming #SoftwareDevelopment #PythonTips
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🐍 90 Days of Python – Day 31 Inheritance in Python | Building on Existing Code Today, I explored inheritance in Python, one of the most powerful OOP concepts that allows a class to acquire properties and behaviors from another class. Inheritance helps reduce code duplication and makes programs more organized and scalable. 🔹 Concepts covered today: ✅ Understanding base (parent) and derived (child) classes ✅ Using the super() function ✅ Method overriding ✅ Types of inheritance (single & multilevel) ✅ Code reusability through inheritance Why inheritance matters: Promotes reusability of existing code Makes applications easier to extend Simplifies maintenance of large systems Widely used in frameworks and real-world projects 📌 Day 31 completed — learning how to extend functionality without rewriting code. 👉 Do you prefer composition or inheritance when designing applications? #90DaysOfPython #PythonInheritance #LearningInPublic #PythonOOP #CleanCode #DeveloperJourney
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Have you ever felt like you know Python… but everything is disorganized in your head? You learn variables. Then functions. Then classes. And suddenly Python works… but it doesn’t really make sense yet. That’s the problem... learning isolated concepts is not the same as understanding the language. When you don’t see the bigger picture, programming feels like connecting pieces without knowing what image you’re building. I’m sharing this map as a summary where you can see: • Which parts form the core of the language • How logic flows when the program makes decisions • How data is organized • How functions and classes connect within a project • Why Python scales so well for real-world projects Having this kind of clarity changes how you study, how you practice, and how you approach real problems with code. Do you already work with Python? I’d love to hear about your experience. #Python #LearnPython #Programming #SoftwareDevelopment #ConceptMap
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Practice Python Without OOP – Project Ideas If you’ve completed Python basics and want to get comfortable with syntax, logic, and flow, these project ideas are a great place to start. The focus here is not on OOP, but on: Writing clean Python code Strengthening logic with loops & conditions Getting confident with lists, dictionaries & functions * Choose any ONE project from the list and build it completely. That’s where real learning happens. > Pick one project, build it fully, and get comfortable with Python syntax. If you build something from this list, feel free to share it *I’d love to see your work #PythonPractice #LearnPython #PythonBeginners #CodingPractice #ProgrammingLogic #DeveloperJourney #PracticeMakesPerfect
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🐍 90 Days of Python – Day 18 Lambda Functions Today, I learned about lambda functions in Python, which are small, anonymous functions written in a single line. Lambda functions are especially useful when we need quick, short-lived logic without defining a full function using def. 🔹 Key things I learned today: • What lambda functions are and why they exist • Writing single-line functions using lambda syntax • Using lambda functions with built-in functions • Understanding where lambda improves code readability Lambda functions are commonly used in scenarios where simplicity and clarity matter more than structure. I’m practicing lambda expressions to understand how they fit naturally into Python’s functional programming style. 📌 Day 18 completed. Writing concise logic with lambda functions. 👉 Where do you think lambda functions are most useful — data processing or quick transformations? #90DaysOfPython #PythonLearning #LearningInPublic #LambdaFunctions #PythonDeveloper #BTechCSE
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🐍 Python for Beginners – Part 2/123 📌 Python Environment Setup Made Simple Every Python journey starts with the right setup. In Part 2, I cover: ✅ Installing the Python Interpreter ✅ Adding Python to PATH (no more errors!) ✅ Setting up PyCharm (Community Edition) ✅ Verifying installation using the command line A strong foundation avoids confusion later. Small steps today → confident coding tomorrow 💡 If you’re a beginner in Python, save this post 📌 Follow along — 123 beginner-friendly posts coming up! 👉 Next up: Writing your first Python program 👨💻 💬 Comment “Python” if you’re learning from scratch 🔁 Repost to help someone starting their coding journey #Python #PythonForBeginners #LearnPython #CodingForBeginners #ProgrammingBasics #PythonDeveloper #SoftwareDevelopment #TechLearning #Upskilling #CareerInTech #100DaysOfCode #CodeNewbie #DeveloperCommunity #LinkedInLearning #ProgrammingJourney
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Day 37 | Python OOP – Inheritance 🚀 Today I practiced Inheritance in Python, focusing on how classes reuse and extend functionality. 🔹 Covered concepts: • Single Inheritance • Multilevel Inheritance • Multiple Inheritance • Constructor inheritance using super() • Protected variables (_balance) • Method overriding • isinstance() with inheritance • Method Resolution Order (MRO) 🔹 Key learning: Inheritance helps in code reusability, better structure, and real-world modeling, which is heavily tested in interviews. Consistent practice is building my confidence in Python OOP fundamentals 💪 #Python #OOP #Inheritance #LearningEveryday #Programming #InterviewPreparation #Day37
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📌 Types of Arguments in Python — simplified visually Understanding how Python handles arguments is foundational, not optional. From positional and keyword arguments to *args and **kwargs, this concept directly impacts how you write clean, scalable, and maintainable functions. If you’re serious about Python (interviews, real-world code, or frameworks), this is one topic you can’t afford to hand-wave. #Python #Programming #SoftwareDevelopment #LearningPython #CodingBasics #DeveloperLife
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