Python Starters Day 17 Foundation Nugget Comparison is logical ==, !=, >, <, >=, <= These operators drive decision-making. Computers don’t understand almost or maybe as they compare exact values. Strong programmers write clear comparison statements, while weak comparisons create hidden bugs. When something behaves strangely, check your condition. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq
Python Comparison Operators: ==, !=, >, <, >=, <=
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Python Starters Day 18 Foundation Nugget Logical operators expand thinking Conditions can be combined using: and, or, not if age >= 18 and user_id: Now the program evaluates multiple truths; this is how real systems validate actions. Learning logic operators increases expressive power. You’re not writing longer code, but rather you’re writing smarter decisions. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq
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Ever wondered why people get confused when it comes to Python’s Access Specifiers? A few days ago, while revisiting core Python concepts, I stumbled upon this exact question and honestly, it made me pause. If Python has public, protected, and private… why does it still feel so confusing? Here’s what I realized: Unlike languages like Java or C++, Python doesn’t strictly enforce access control. Instead, it follows a philosophy: “We are all consenting adults.” And that’s exactly where the confusion begins. 1. Everything is public by default 2. A single underscore (_) is just a convention, not a restriction 3. Double underscore (__) triggers name mangling, not true privacy So developers often expect strict rules… but Python gives flexibility instead. And that gap between expectation vs reality is what confuses most people. When I dug deeper, I found that understanding this isn’t just about syntax, it’s about understanding how Python thinks. From variables being simple references to memory, to how private variables are internally renamed… it completely changes your perspective. And here’s the surprising part, Even “private” variables can still be accessed (though not recommended), if you understand how name mangling works. If you're learning Python or preparing for interviews, this is one concept you don’t want to overlook. For a complete breakdown with examples, edge cases, and best practices, check out this detailed doc: https://lnkd.in/gi-iw_gM You might see Python a little differently after this. #Python #Programming #Coding #SoftwareDevelopment #Learning #PythonBasics #InterviewPrep #Tech
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Python Starters Day 19 Foundation Nugget For continuity, use While Loops While loops repeat until something changes. count = 0 while count < 5: print(count) count += 1 Be careful with the condition, because if the condition does not change, then the loop will never stop. This teaches responsibility, as automation without control can cause chaos. Loops must have an exit. Follow the Python 🐍 Starters Hub: WhatsApp: https://lnkd.in/dbjAFv52 LinkedIn: https://lnkd.in/dkJE3tZq Website: https://lnkd.in/eBHB2MqY
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🚀 Day 10 – Python Lists Continuing my Python learning journey, today I explored some important concepts related to Python Lists. I learned how id() helps in checking the memory location (identity) of a list, and how aliasing works when two variables refer to the same list. This made me realize how changes in one list can affect another. I also understood cloning, where using methods like copy() or slicing ([:]) creates a completely new list with a different identity. This is very useful to avoid unintended changes in programs. Additionally, I practiced list operations like sorting using sort() and sort(reverse=True), and explored useful methods such as append(), extend(), remove(), pop(), clear(), and reverse(). 📌 Key Learning: Being careful with aliasing is very important to prevent unexpected behavior in lists. 🙏 A special thanks to Global Quest Technologies for providing this valuable learning opportunity and continuous support throughout the training. Thanks to our CEO G.R NARENDRA REDDY Every day is bringing me closer to mastering Python step by step! 💻✨ #Python #PythonLists #CodingJourney #LearningPython #DeveloperLife #100DaysOfCode #TechSkills #Programming #GlobalQuestTechnologies
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Python is often viewed as a go-to language for research and prototyping, but I believe it is NOT be the best choice for production environments. Here are my main concerns: - **Async in Python**: The asyncio module feels like an add-on to a language that wasn't originally designed for asynchronous programming. This results in complex function structures, cumbersome event loop management, and debugging that can be incredibly challenging. - **Performance**: When it comes to inference serving stacks like vLLM and TGI, Python acts as an orchestrator for C++ and CUDA code. This leads to overhead from boundary crossings, GIL contention, and object allocations in critical paths, which could be avoided if the orchestrator and the kernels were written in the same language. - **Supply Chain Risks**: This is a significant concern that doesn't receive enough attention. The `pip install` command pulls code from PyPI that runs at install time, creating vulnerabilities. A single compromised transitive dependency can potentially inject harmful code into your running process. While all languages have supply chain vulnerabilities, Python's risks manifest at runtime.
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Python is everywhere. From the apps we use daily to the systems running behind the scenes, Python powers millions of devices and solutions often without us even realizing it. With billions of lines of code already written, it opens up endless opportunities to learn, reuse, and build faster. So, why should you learn Python? ✅ Easy to Learn Compared to many programming languages, Python has a simple and readable syntax. You can start building real applications much faster. ✅ Boosts Productivity Python allows you to write less code and achieve more. This means quicker development and faster problem-solving. ✅ Massive Community Support A strong and active global community means help is always available — whether you're a beginner or an expert. ✅ Free & Flexible Python is open-source, easy to install, and works across platforms — making it accessible to everyone.
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🔐 Password Generator – Python Another step forward in my Python learning journey. This time I built a Password Generator in Python that creates randomized passwords based on user preference. The user can choose how many letters, symbols, and numbers they would like in the password, and the program generates a shuffled password accordingly. Concepts practiced in this project: • Lists • Loops • Conditionals • User input • random module 💻Try the app: 🔗 Live Demo (Replit): https://lnkd.in/ghscHtdd 💻 GitHub Repository: https://lnkd.in/gYN2U9Sd Always learning, one small program at a time. 🚀 #Python #CodingJourney #LearningToCode #BeginnerProgrammer #100DaysOfCode
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One of the more interesting things I find about Python is how expansive the standard library is and the number of hidden gems you can find. TOML files are seemingly becoming a new standard within the Python ecosystem - a prime example of heavy usage is Astral's uv package manager. Python's standard library has tomllib, a library that allows you to read these files. I wrote about how you can use it here: https://lnkd.in/guKJwmsJ
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𝗜 𝗕𝗎𝗶𝗹𝘁 𝗠𝘆 𝗙𝗶𝗿𝘀𝘁 𝗣𝘆𝘁𝗵𝗼𝗻 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 I never wrote a line of Python code before. This week I built my first Python project. I keep a reading journal on GitHub. I have 223 books and counting. Every time I finish a book, I update the file manually. It is tedious and I often forget to update the book count. I asked for help to automate it. We talked through what I wanted. I learned to: - Add Python to my machine - Generate a Github access token and use it in a script Now I run one line in my terminal with my book entry. The script: - Automatically numbers the entry - Adds it to the right year - Updates my total count - Opens the repo in my browser My first Python project works and it took less than an hour. You can try something new too. Do not put it off because it is not your thing. Source: https://lnkd.in/g93q9zZa Optional learning community: https://t.me/GyaanSetuAi
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Python Password Generator Project I 'm excited to share a small Project I built using python. This Project generates a strong and secure random Password using a combination of letters, numbers,and special characters. 💡 KEY FEATURES . user can choose Password length . uses random module for secure Password generation . include letters,digits,and special characters 🛠 Technologies Used: .Python This Project helped me practice python basics and logic building. #python #programming #coding #oasisinfobyte #Learning
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