Dictionaries are the first data structure most Python developers reach for. They're also the one that hides the most bugs. I built a free interactive course, Python Data Containers, that shows you exactly where dicts break and what to use instead. You'll work through NamedTuple, dataclass, and Pydantic side by side, running every example in the browser. By the end, you'll know which container to pick for your use case and why. 🚀 Try the course: https://bit.ly/4rCfJWy #Python #DataScience #InteractiveLearning #Pydantic #dataclass
Python Data Containers: Choosing the Right Data Structure
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One of the trickiest Python bugs: mutable default arguments. If you define tags: list = [] on a NamedTuple, every instance ends up sharing the same list. With dataclass, this pattern is rejected. You must use field(default_factory=list), which creates a fresh list each time. My free interactive course lets you run both versions in your browser and compare the results yourself. 🚀 Try the course: https://bit.ly/4bdtQMg #Python #DataScience #InteractiveLearning #dataclass
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If you’re working with Python and want to master data validation, schemas, and FastAPI-ready models, this video is for you. Clear concepts. Practical examples. Zero confusion. Level up your backend skills with Pydantic Framework https://lnkd.in/gRGSqNmv #Python #Pydantic #FastAPI #BackendDevelopment #aiwiththiru
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Day 64 – Counting Lines in a File using Python: Day 64 focused on counting the number of lines in a file using Python. I practiced reading file contents, using readlines() to store lines in a list, and calculating the total using len(). This exercise strengthened my understanding of file reading techniques, list handling, and efficient resource management using both the traditional method and the with statement. GitHub Code: https://lnkd.in/g3nfR4_j #Day64 #100DaysOfCode #Python #FileHandling #LearningPython #CodingJourney #DailyCoding #Consistency
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🎯 Project: Guess the Number Game I developed a fun and interactive game using Python where the user has to guess a randomly generated number. ✨ Key Features: Random number generation User input handling Hints like “Too High” or “Too Low” Multiple attempts until correct guess 💻 Technologies Used: Python This project helped me strengthen my logic-building skills and understand how to work with conditions and loops effectively. Excited to explore more in Python and build advanced projects! 🚀 #Python #GameDevelopment #BeginnerProjects #CodingJourney #LearningByDoing 🔗 GitHub Repository: https://lnkd.in/d8xsxgVX 🎥 Project Demo:
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Strengthening Python Fundamentals 💻🔥 Today I revised and practiced the core fundamentals of Python: ✔ Variables ✔ Data Types ✔ Operators ✔ Type Casting ✔ print() parameters (sep & end) ✔ Formatted f-strings ✔ Control Statements (if / else) ✔ Looping (for / while) ✔ Functions ✔ Input / Output Building a strong foundation is my priority before moving into advanced concepts. Instead of just watching classes, I am actively practicing in VS Code and testing my understanding through real examples. Step by step progressing in my Python Full Stack journey 🚀 #Python #LearningJourney #FullStackDeveloper #Consistency #CodingLife #BeginnerToPro
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Hot take: Python is fast enough for most things. For the other things? 🦀 Rust. Just published a guide on using PyO3 v0.28 + maturin to drop Rust into your Python stack — the same approach Polars, Ruff, and Pydantic v2 use. One function. Native speed. Still pip install-able. 👉 https://lnkd.in/g794MZxa #Rust #Python #PyO3 #Engineering #Performance
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🚀 Python Arrays Simplified! 🐍 An array is like a row of boxes storing your data in order, each with its own index. Arrays let you organize, access, and manipulate data efficiently. For example, the word “EDUCBA” as an array: ["E","D","U","C","B","A"] array[0] = E array[-1] = A Mastering arrays and indexing is the first step to writing clean, powerful Python code! 🎥 Detailed video coming soon! Stay tuned! #Python #CodingTips #LearnToCode #Programming #DataScience
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Day 19 of #100DaysOfPython Today was about instances, state, and higher-order functions. I built a Turtle Race Game using Python’s turtle module. I created multiple turtle instances, each with its own color and position, then made them race using random movement speeds until one wins. This project helped me understand: How different instances can be created from the same class How each instance maintains its own state (position, movement, etc.) How to use functions in a more flexible way when controlling behavior It was a fun way to see objects come to life and interact on the screen. Starting to think more in terms of objects and behavior, not just lines of code. #100DaysOfCode #100DaysOfPython #Python #OOP #PythonProjects #TurtleGraphics #LearningToCode #CodingJourney #BuildInPublic
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Learn Python Basics Through a Real-World Calculator Project Discover how to build a working calculator in Python with interactive user interface. Learn how to handle user input and feedback control. Read the full article 👉 https://lnkd.in/dnrY9FZ3 #LearnPython #ITJobsForFreshers #CalculatorProject #PythonProgramming #SoftwareEngineering #TechLab Code. Learn. Build. — TechLab by Neeraj
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Stop repeating yourself—loop it. In Python, `for ... in` walks through each item in a list (great for processing data) and `range()` repeats an action a set number of times. This example sums a list, then prints a message three times—two common patterns you’ll use constantly.#Python #ForLoop #ProgrammingBasics #LearnToCode
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I've seen dicts work well in fast prototyping and data wrangling, especially for teams moving quickly. Sometimes simplicity wins over structure, depending on the project.