🐍 What the Virtualenv?! Python Dependency Management Pitfalls This is a free 5-day email course for Python developers looking to avoid common dependency management issues with tools like Pip, PyPI, Virtualenv, and requirements files https://lnkd.in/g6JZwcQ
Python Dependency Management with Virtualenv
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Day 169/200 PEP 8 Style Guide. One of the advantages of programming in Python is that it's a very readable language. The Python community also shares a set of guidelines that promote clean and neat code. This is known as a style guide. A style guide is a manual that informs the writing, formatting, and design of documents. Style guides are intended to help programmers follow similar conventions. The PEP (Python Enhancement Proposals) 8 style guide is a resource that provides stylistic guidelines for programmers working in Python. Check it out: https://lnkd.in/dh5nNv6u Using the PEP 8 style guide is not mandatory, but it helps create consistency among programmers to ensure that code readers can easily understand the code. The PEP 8 style guide (https://lnkd.in/dh5nNv6u) is a great resource for anyone who wants to learn how to style and format their Python code in a manner consistent with other programmers.
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I've been doing some Python/C API work lately for a client: writing a C layer, packaged as a Python wheel, that allows you to invoke that C code from Python. It's really fun and the Python/C API is very well documented. It teaches a lot about how Python works under the hood, for example the ref count system. It's really not so complex once you get familiar with it. The fun thing is that it opens the door to all kinds of things, for example you can call native code, or call code from C or C++ libraries. Perhaps I'll make a little demonstration, for example to show how to invoke a native voice-to-speech framework from Python. Or maybe invoke some JUCE code..? :D I wonder if you could create an audio plugin host from Python 🤔 Join my newsletter: https://lnkd.in/eUr7bAGC
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Day 167/200 Python Libraries and Modules. In my last posts, I discussed built-in functions, which are functions that come standard with every version of Python and consist of functions such as print(), type(), max(), and many more. To access additional pre-built functions, you can import a library. A library is a collection of modules that provide code users can access in their programs. All libraries are generally made up of several modules. A module is a Python file that contains additional functions, variables, classes, and any kind of runnable code. Think of modules as saved Python files that contain useful functionality. They help save programmers time and make code more readable. An example of a library in Python is the Python Standard Library. The Python Standard Library is an extensive collection of usable Python code that often comes packaged with Python. There are also external libraries like Beautiful Soup and NumPy. Python libraries and modules are useful because they provide pre-programmed functions and variables that helps save time for users.
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🚀 How to Write Clean & Understandable Python Code 🐍 Clean code is not just about making programs work — it’s about making them easy to read, easy to maintain, and easy to scale. In this post, I’ve highlighted: ✅ Meaningful variable & function names ✅ Following PEP 8 standards ✅ Writing modular and reusable functions ✅ Proper comments & doc strings ✅ Error handling best practices ✅ DRY principle (Don’t Repeat Yourself) ✅ A simple real-world Python example that ties everything together 💡 Why clean code matters? Because code is read more often than it is written — by teammates, reviewers, and even your future self. If you’re a beginner, this will help you build strong foundations. If you’re experienced, it’s a great reminder of best practices we should never skip. 👉 Swipe / view the image for a quick and clear guide. Let me know in the comments💬: What’s one clean-code habit you always follow in Python? 👇
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Ever wondered how Python packages are actually created? Or what happens behind the scenes when you run pip install? If you’ve ever thought about building your own Python package, publishing it, and installing it just like any other library — this article breaks it down step by step. From project structure to packaging, versioning, and distribution, the link below walks through the entire process in a practical, beginner-friendly way. If you’re serious about writing reusable, shareable Python code, this is a must-read. link below: https://lnkd.in/gVdZEqHc #Python #PythonPackaging #Pip #OpenSource #SoftwareEngineering #Developers #Programming #TechLearning
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🐍 90 Days of Python – Day 12 Today, I learned about modules and imports in Python, which help in organizing code and reusing functionality efficiently. As programs grow, writing everything in a single file becomes hard to manage. Modules allow us to split code into logical parts and reuse them whenever needed. Key concepts I explored today: • What a module is in Python • Using import to access built-in and custom modules • Importing specific functions using from ... import • Understanding why modular code is easier to maintain Modules encourage clean, structured, and reusable code, which is essential for real-world applications. I’m practicing these concepts to write more organized programs and avoid unnecessary repetition. 📌 Day 12 completed. Writing modular and reusable code. 👉 Which Python module do you use most often in your projects? #90DaysOfPython #PythonLearning #LearningInPublic #ProgrammingBasics #BTechCSE #MachineLearning
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Day 13 - Python Modules & Packages Today I focused on Python modules and packages, a core concept that helps structure code into reusable and maintainable components. I practiced creating custom modules (like example.py) and importing them into other scripts using import. This allows us to organize functions and variables into logical files and avoid repeating code across projects. I also explored pip, the Python package manager that lets us install, list, update, and manage external packages from the Python Package Index (PyPI). This is essential for working with frameworks and libraries in real‑world applications. Topics covered: [Creating and importing custom modules] [Using module functions and variables] [Understanding Python packages] [Working with pip commands for installation and updating] practicing these fundamentals helps me write cleaner, more scalable Python code. GitHub repository: https://lnkd.in/gs4HAr-w Consistent progress, one concept at a time.
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🚀 Python isn’t just a programming language — it's a mindset. Once you master its core principles, you don’t just write code… 👉 You write cleaner, scalable & future-proof software. Just published a new blog: 🐍 Python Mastery — 12 Principles Every Developer Should Know Real-world examples Pro-level hacks Clean-code habits Infographic for quick learning 🧠 Whether you're a beginner or a seasoned engineer — these principles will elevate your Python game. 💡 Read → Learn → Apply → Grow 📎 Check out the infographic & save it for later 👇 Medium - https://lnkd.in/gaRgrZCP Google Blogs - https://lnkd.in/gw32aHv4 Personal Site - https://lnkd.in/gjNY3SdY Medium - https://lnkd.in/gaRgrZCP #Python #Programming #CleanCode #DeveloperCommunity #SoftwareEngineering #TechBlogs #LearnToCode #PythonTips #CodeBetter #ProductivityForDevelopers #100DaysOfCode #WebDevelopment #CodingJourney #TechLearning #AI #DataScience
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Python environments can be confusing 🧩 Especially when multiple versions are installed. Packages are often already installed — just not in the Python you’re running. Mustel is a lightweight Python CLI tool that makes this visible 🔍 It helps you: ✔️see which Python is active 🐍 ✔️see installed packages across versions📦 ✔️spot environment mismatches clearly ⚠️ Mustel doesn’t modify your system. It simply shows what’s already there. Install: pip install mustel 📘 Docs: https://lnkd.in/dyrxjVEi 📦 PyPI: https://lnkd.in/dn2MFe-G
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In my first blog, I discuss the 5 (+2) steps of creating graphical user interface (GUI) applications using Python's FreeSimpleGUI library, which will allow us to elevate the creation of engineering templates beyond spreadsheets. While this requires a working knowledge of Python, hopefully everyone who are not that familiar with the programming language can benefit from this as well. The source code for the example in this post can be found toward the end, which you can download to modify, add new features, and customize to your liking. Enjoy! 😁 https://lnkd.in/gVGAA9fg
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