Christopher Messmer’s Post

"One of the most exciting aspects of my coding journey has been exploring and integrating various systems along the way. I’m currently diving into the Linux operating system and leveraging GitHub for version control and as a remote repository. Plus, I’m using GitHub Pages to host my blog, where I document each project and milestone along the way. Looking forward to expanding this journey even further!" Below is the link to my blog. It's pretty basic but ideal for getting straight to the point! https://lnkd.in/e9ekmi8i

Excited to share that I’ve successfully completed with honors the Databases and SQL for Data Science with Python course, authorized by IBM and offered through Coursera. Grateful for this opportunity to deepen my SQL and database skills! #DataScience #SQL

🚀 Excited to share my insights on tqdm - the dynamic progress bar library that revolutionizes Python scripting! 🐍💥 📊 tqdm's simplicity and effectiveness in displaying progress bars for loops, iterations, or any kind of task execution have significantly enhanced my productivity. With its ease of integration and customization options, tqdm has become an indispensable tool in my Python projects, helping me track execution flow and estimate completion times more efficiently. 🔬 Whether it's processing large datasets, training machine learning models, or running simulations, tqdm keeps me informed about progress, making my coding experience more interactive and efficient. 📈 If you're a Python developer looking to enhance your coding experience and add a visual flair to your scripts, I highly recommend giving tqdm a try. It's time to bring your Python scripts to life with dynamic progress bars! #Python #Programming #DataScience #tqdm #DeveloperTools Share your experiences and tips in the comments below! Let's spark a conversation about the power of dynamic progress tracking in Python scripting. 💬💡 Here you can learn more about tqdm :- https://tqdm.github.io/

🎉 Excited to share that I’ve completed the C++ Basics: Selection and Iteration course! 🚀 Through this course, I strengthened my skills in essential C++ concepts such as: ✅ Conditional statements (if-else, switch) ✅ Loops and iterations (for, while, do-while) ✅ Logical and relational operators These are foundational tools that will help me write efficient, clean, and powerful code. I’m excited to apply this knowledge to future projects and challenges! #CPP #Programming #Learning #TechSkills #CodingJourney

Hey connections 👋 , #Day02 On the same track of problem solving. I am doing great till now and hope will do the same in future. Questions today were quite same as yesterdays but as the night changes problems will change and I hope I'd do them without any issue. 💡 Today is day- 2 and here are level 0 questions I did: 1. Write a program that will tell whether the number entered by the user is odd or even. 2.Write a program that will tell whether the given year is a leap year or not. 3.Write a program to find the Euclidean distance between two coordinates. 4.Write a program that take a user input of three angles and will find out whether it can form a triangle or not. 5.Write a program that will take user input of cost price and selling price and determines whether its a loss or a profit #Python, #Questions, #PyCharm, #Ubuntu, #Linux, #learning #IITMadras, #IITMBS, #BS, #DS

I recently came across a useful library for Python scripts used in data analysis. The #tqdm package provides progress bars during function execution, removing the need to estimate completion times. #datascience #python #pythonlibraries #coding #progressbars #datanalysis #pythoncode #functionintensive #datalibrary

🚀 Transform Your Career with Python! 🐍✨ Unlock the power of programming with our comprehensive Introduction to Python Programming course. Whether you're starting from scratch or looking to polish your skills, this course is designed to give you a deep dive into the world of Python. Registration Link:- https://lnkd.in/dt2ESwSy  What Will You Learn? 📚 Fundamentals to Advanced Topics: From basic syntax to complex functions and data structures. 💻 Hands-On Experience: Engage in practical sessions with VSCode and get real-time guidance from our expert instructors. 🛠 Tools & Techniques: Master essential Python tools including loops, conditional statements, data handling, and more! Course Features: 🕒 Flexible Learning: Dive into 22 meticulously crafted modules at your own pace. 🔧 Real-World Applications: Learn through practical examples in web development, data science, and machine learning. 🤝 Interactive Q&A and Online Labs: Get direct support and hands-on practice. Enrollment is Open! 🌟 Special Offer: Enroll now and gain access to exclusive webinars and live interactive sessions. 📅 Starting Soon: Don’t miss the chance to elevate your coding skills and boost your career prospects! Let's code the future together with Python! 🌐💡 #PythonProgramming #CodingSkills #TechCareer #LearnToCode  #python  #developer  #webdeveloper  #softwaredeveloper  #developers  #coding  #codinglife  #automate #automated

After 6 months of studying for this(not counting Python review) I’m halfway to obtaining the CCNP Enterprise. My study materials were: Parts of ‘Python Crash Course, 2nd Edition: A Hands-On, Project-Based Introduction to Programming’ by Eric Matthes, The Cisco Official Cert Guide for Encor 2nd Addition, Boson Software Exsim for Encor, Boson Software Netsim for Encor, Kevin Wallace’s Udemy Encor course, Obscure YouTube Videos(some from Kevin Wallace though), and CBT Nuggets(they were a major help for the infrastructure and network assurance section)

Hola LinkedIn!! It's been a minute since I last posted on my CKAD learning journey 😓. This was mainly because of two reasons: 1. I was overwhelmed with personal stuff as well as work related items so I could not focus on my learning as much as I would have liked. 😅 2. I encountered the first problem which for the life of me I could not solve for quite a while related to k8s which hindered my learning. I would like to share my problem in this post and how I was finally able to solve it and some key takeaways I was able to extract from it. ------------------------------------------------------------------------------------- Since I was not trying to run k8s for production (at least for now) I decided to set up own my cluster locally. There are many popular tools that can get the job done in their own unique ways like #minikube, #kind and #microk8s to name a few. (naming these 3 are they are the ones I tried 😅) This is where my problem began, after a quick search "how to setup k8s for development" I decided to go with the most popular tool out there #Minikube. My machine is running windows 11 OS which has wsl2 enabled. In my particular case I don't use #docker for containers, instead I use #podman also I prefer bash more than cmd (like any sane person 😅) so I decided to install #minikube on ubuntu on #wsl using #podman as container runtime. This was easier said than done as I faced a number of issues to do so and after many configuration changes, reading articles, searching on chat-gpt, google, stackoverflow and github issues I finally decided to delete minikube 😑 and went with the second most popular tool #kind. Now those of you who know #kind know that it was a stupid thing to try (those that don't know can check the first comment 🤫). Frustrated I decided to search for an alternative tool and discovered #microk8s. Alas I was able to run #microk8s locally and now finally have a working k8s cluster 💯 (although a single node but it will do for now) 𝐊𝐞𝐲 𝐭𝐚𝐤𝐞𝐚𝐰𝐚𝐲𝐬: 1. Instead of following the flock and going with the most popular tools available for a certain task we need to research what will work for our particular usecase. Popular does not always mean optimal. 2. Research is key, before using a tool make sure to research it thoroughly to understand how it does what is does. 3. It's very easy to get sidetracked and distracted, keep your eyes on the prize and try not to deviate from the path as much. So yeah this was it, next post I will be sharing about the different building blocks of k8s that are required to run containerized applications in a highly available way like pods, deployments services etc. Feel free to share your experience if you have ever had to configure a k8s cluster and checkout the first comment for useful links and fun facts.