🤔 Is there a right way to plot the tangent function in python? I was writing about `numpy` and showing some u-functions plots, when something caught my attention... the plot of the tangent function had misleading vertical lines! I found a neat trick to avoid them 😄 🔗 Post with the code: https://lnkd.in/dftZyDJG #python #matplotlib #mathematics #tangent #plot #singularities #numpy #ufunctions
Clever trick. 😉
𝑾𝒉𝒆𝒏 𝑵𝑶𝑻 𝒕𝒐 𝒖𝒔𝒆 𝑵𝒖𝒎𝑷𝒚 NumPy is fast, powerful, and efficient. But that doesn’t mean it’s always the right tool. For small datasets, simple logic, or non-numerical tasks, NumPy can introduce unnecessary complexity without real performance gains. In those cases, plain Python is often: - Easier to read - Easier to debug - Just as fast NumPy shines when: - You’re working with large numerical arrays - You need vectorized operations - Performance actually matters Don’t use NumPy by default. Use it intentionally. #NumPy #Python #DataScience #MachineLearning #DataAnalysis #CleanCode #SoftwareEngineering #CodingTips #LearnPython
Today I started learning Pandas Series:- exploring how to access and slice elements, filter numbers and strings and perform basic operations like uppercase, string length and conditional checks. I also practiced converting a Series to a Dataframe.These are small steps but important for anyone starting with data analysis in Python. Feedback is welcome. #Python #Pandas #DataAnalysis #LearningPython #BeginnerFriendly #CodingJourney #DevLife #ProfessionalGrowth
I came across something yesterday that I didn't quite understand while working with Python. _assign_clusters(self, X: torch.Tensor) -> torch.Tensor: What I was expecting was _assign_clusters(self,X): When the other parts were added I dug in a little more to see what they mean. What I found was X: torch.Tensor tells python that it must me a PyTorch tensor, so if anything else gets passed there will be a warning. This piece -> torch.Tensor Tells what will be returned. These two pieces are not crucial but are a nice ot have, and helps with readability of code. I'm really writing this post to make sure that I understand it and hopefully to solidify it in my mind. If you find it helpful that's a bonus. #python #pytorch #learning
Can 40 lines of Python grow a forest? 🌳 I’ve been exploring recursive logic and randomization to create these "Live Trees" using Python's Turtle module. No two runs are ever the same. By using random.uniform for branch length and random.randint for angles, the code mimics the organic unpredictability of nature. find the code at https://lnkd.in/dkWXd6B8 Tech stack: 🐍 Python 🔢 NumPy 🎨 Turtle Graphics It’s amazing how simple math can create such complex, organic beauty. #Python #CreativeCoding #Fractals #GenerativeArt #Python
I just published a new blog on Memory Management in Python. This is a topic I recently learned myself and honestly found confusing at first — stack vs heap, references, garbage collection, weak references. So I wrote this post to my own understanding and explain it in simple English, the way I wish someone explained it to me when I started. 👉 Read it here: https://lnkd.in/gQCMNwzq Still learning, still improving. Feedback and corrections are always welcome 🙌 #Python #LearningInPublic #MemoryManagement #GarbageCollection #SoftwareEngineering #StudentsOfPython
Python loops explained the way I wish someone explained them to me. Swipe through to see: ➡️ How for loops work ➡️ How while loops work ➡️ When to use each one The trick ? Stop memorizing syntax. Start building with real examples. Once I practiced with actual data instead of abstract tutorials, everything clicked. What Python concept seemed harder than it actually was? #python #LearnToCode #PythonProgramming #CodingBasics
🟦🟨🟩 🐍 PYTHON – DAY 5 🟦🟨🟩 📌 Set What is a Set? A set is a collection of items in Python that is unordered and mutable, and it does not allow duplicate values. ✨ Example: numbers = {1, 2, 3, 4, 4, 5} print(numbers) 🔹 Key Points ✔ Unordered ✔ Mutable ✔ No duplicate elements 📌 Why Sets are Important? Sets are useful for removing duplicates and performing mathematical operations like union and intersection.
🐍 Starting with Python? Here’s what I recommend: • Focus on fundamentals first: variables, loops, functions • Solve small problems daily – practice makes perfect • Explore libraries like Pandas & NumPy for real projects • Share your projects on GitHub to track progress • Keep learning consistently, even 30 mins/day adds up 🔥 Python is a tool, curiosity is the key! #Python #Coding #DataAnalysis #MachineLearning #AI #DeveloperTips #LearnToCode
Mastering machine learning sounds cool until you're buried in math, lost in algorithms, and wondering what Python package you're supposed to install next. If you've ever: - Opened a tutorial and closed it 10 minutes later - Felt like everyone else already gets it - Wondered where you were supposed to start... This blog post can help you. It breaks down the real path to getting started with machine learning using Python. #MachineLearning #Python #AI #DataScience #RheinwerkComputingBlog #RheinwerkComputingInfographic Take your first (or next) step here: https://hubs.la/Q03-nkwR0
Use Nan at the points where tan is not defined?