MO的动态

"What's the biggest difference between being a founder v.s Software Engineer?" I used to be a tech lead at LinkedIn and Snowflake, here is a comparison. Before = my career life. Now = my founder life How much time do I put on work? Before: 40-50 hours per week Now: 80-90 hours per week What keeps me wake up at night? Before: Debug, Oncall, Write design doc Now: prepare leads, write personalized email, write blog post What makes happy? Before: alignment with multiple teams to get a project rolling Now: alignment customers to get a pilot going Where does my pressure come from? Before: deadline and blockers Now: finding PMF, employees, investors What makes me feel relaxed? Before: going for a holiday with family Now: never

?? Day 28 of My DSA Learning Journey ?? Today, I focused on solving the Book Allocation Problem and explored an efficient solution for it. This problem is a fantastic example of how to apply Binary Search in a unique way to optimize resource allocation. You can check out my solution and notes on GitHub: https://lnkd.in/d6Sub4Dx ?? Follow my journey on LeetCode: https://lnkd.in/gi6f834z Every optimized solution brings me closer to mastering DSA—excited to keep learning! ?? #DSA #LearningJourney #Coding #LeetCode #GitHub #BookAllocationProblem #BinarySearch #ProblemSolving #ApnaCollege

Pivot_longer painfully slow with large data : r/rprogramming - Reddit: I have a very large dataset. I have days for 5 years as columns and want to transform it to long form. This will result in an even larger dataset. #bigdata #cdo #cto

How to show big data projects to employers. : r/learnprogramming - Reddit: I completed 2 big data projects and was going to upload them to Github but they are like 120 MB each. What should I do? #bigdata #cdo #cto

I've been coding 60+ hours a week for 2 years straight to bring theirs service West of the Bann. Let me know if you want a business infrastructure that'll annihilate the status quo. #mediocrityisforquitters #drive #cloudengineering #informationtechnology #efficiency

Later this week, Professional Software Consultant and Microsoft MVP Cameron Presley will be speaking at Carolina Code Conference diving into Functional Programming and three of its fundamental concepts. Attendees will walk away with an understanding of how: ? Pure functions lead to easier-to-test code ? Immutability makes debugging easier ? The power of compositions allows us to build bigger applications by combining smaller applications https://lnkd.in/gQyUSR2r Interested in this topic and want to learn more? Reach out!

?? Exciting News Alert! Join us for an insightful talk session hosted by Taimoor Arif from the ML Bench team. ?? Dive deep into the world of software development principles as we explore 'Solid Principles'. Don't miss out on this enriching session! #MLBench #TalkSession #SolidPrinciples #SoftwareDevelopment

"I am thrilled to announce the finishing touch of an in-intensity route in Data Structures with C++. This program offered a comprehensive expertise of essential information structures, along with arrays, linked lists, stacks, queues, and trees, and explored superior subjects along with hash tables, graphs, and reminiscence management techniques. Through hands-on sporting activities and complicated hassle-solving scenarios, I become able to refine my technical skills, enhance code performance, and reinforce my logical questioning competencies. Mastering these center standards has given me a strong framework to technique algorithmic demanding situations and optimize answers effectively. I am excited to apply this expertise in destiny projects, make contributions to innovative answers, and maintain advancing inside the field of pc technological know-how.

Ended up the 3rd week at MLops Zoomcamp at DataTalksClub. This week we covered orchestration and ML pipelines. Data orchestration is the process of coordinating, managing, and automating data flows between different systems and components within an IT infrastructure. Orchestration includes integrating various data sources, transforming them, loading them into target systems, and monitoring and managing these processes. There are several orchestration tools, the most well-known being Airflow, Luigi, Prefect, Mage, and Dagster. In our course we will work with another orchestration tool - Mage, which we have been introduced to during the current week. Mage is an open-source data orchestration tool designed to simplify building, running, and managing data pipelines. It supports both real-time and batch processing. Unlike, for example, Airflow and Prefect, Mage, in my opinion, is a more intuitive and user-friendly tool. The advantages of this tool also include: ?? A notebook-style interface for interactive coding and immediate feedback, allowing for quick writing and testing of code. ?? Each step in the pipeline is a standalone block of code, making it reusable and testable. ?? Data integration (import and export) with sources like Amazon S3, Google BigQuery, Redshift, Snowflake, and others. ?? The ability to define custom functions, providing flexibility in working with data. ?? The ability to deploy the tool on AWS, GCP, or Azure with minimal setup using Terraform templates. ?? Built-in tools for monitoring, alerting, and observability of data pipelines, allowing users to effectively track and manage their workflows. In case you're intresting in Mage here's quite well documentations: https://lnkd.in/ezqqy6Fx

I am thrilled to share that I have successfully finished this episode with a focus on the Principles of Software Engineering. This journey has been incredibly rewarding and transformative, and I am grateful for all the knowledge and skills I have acquired along the way. #SoftwareEngineering #TechJourney