Samuel Colvin’s Post

🚀 Enhancing the Security and Modularity of My CRUD Project 🚀 In my previous project, I shared how I designed the database for a CRUD application in Python, but security always comes first! 🔒 Today, I want to show you how I've progressed by ensuring that sensitive data, such as database credentials, are not exposed in the source code. I used an external JSON file to store this configuration and then loaded it into my application. This approach not only improves security but also makes the code more modular and easier to maintain. Instead of hardcoding the connection details, I can now manage everything from a JSON file that I can exclude from my repository with a .gitignore. Any suggestions on how to further improve this process? I’m open to ideas! 💡 #Python #Development #Security #JSON #CRUD #LinkedIn

Skills like C++, Python, JavaScript, MongoDB, Node.js, and GenAI seemed boring to me... until I found out about these cool names 😅 : CockroachDB 🪳 CouchDB 🛋️ Karma 🍀 Mocha ☕ Unreal 🎮 Middleman 👥 11ty 🔢 Puppeteer 🎭 Jasmine 🌸 Hadoop 🐘 Pug 🐕 These interesting names made me curious to know more about them in future! P.S.: I don't have knowledge in any of these, just fascinated by their names. #programming #humour #skills

The  'hudi-rs' project enables using Apache Hudi for a diverse range of use cases in the Rust & Python ecosystems. As part of the 1st release, hudi-rs has been integrated with Apache Datafusion. Datafusion is a fast, extensible query engine for building high-quality data-centric systems in #Rust, using Apache Arrow. This integration allows reading data directly from Hudi tables using DataFusion's execution engine. ⭐️ Checkout the Github repo: https://lnkd.in/dyvyd4cK 🔗 Start Contributing: https://lnkd.in/dw7v7Cfc 📱 Join our Slack channel #hudi-rs: https://lnkd.in/gZSZzdX4 #dataengineering #softwareengineering

Last week we told you about the Sinks API, and now let us introduce the Quix Streams Sources API! The Quix Streams Sources API is a 100% pure Python alternative to Kafka Connect, designed to simplify the process of ingesting data from external systems into Kafka. It takes care of the heavy lifting so you can focus on what matters most: • Managing the setup, teardown, and lifecycle of data sources • Ensuring data is ingested reliably with built-in checkpointing • Handling backpressure to maintain smooth data flow The best part about the Sources API? Like the Sinks API, it allows you to create custom data sources by extending the base class and implementing a few methods to manage data ingestion, while the API handles the complex underlying processes. Check out Quix Streams docs for more: https://lnkd.in/eg5RQjvA #datascience #dataengineering #telemetrydata #apachekafka #python #kafkaconnect

🛠️ New Blog Alert: PostgreSQL + Python Integration 🐍🐘 If you're working with PostgreSQL and Python, I’ve published a guide on how to seamlessly integrate the two for efficient data operations. In this guide, I dive into - Setting up a reliable connection between Python and PostgreSQL - Performing efficient CRUD operations - Using Psycopg2 for transaction management and handling PostgreSQL-specific data types Read more here: https://lnkd.in/dhhNK9_y Also, stay tuned for an upcoming blog about the new version of Psycopg (version 3) and how to integrate it with PostgreSQL. #PostgreSQL #Postgres #Python #Development

🚨 Troubleshooting Database Errors in Flask 🛠️ Read More in Detail: https://lnkd.in/dDfpcE_q #Flask #DatabaseErrors #WebDevelopment #SQLAlchemy #PythonProgramming #ErrorHandling #CodingTips #TechSolutions #WebAppDevelopment #DatabaseTroubleshooting

Pythonistas, check this out! I just built a functional signup page with database connectivity using Python. This project is perfect for anyone looking to solidify their Python fundamentals and master database interactions. Work with forms, data validation, and user input while connecting to a database (e.g., MySQL) and storing user information securely. Check out the code on my GitHub repository: [https://lnkd.in/gCt33J-R]. #Python #Database #CodingProject #GitHub

Introducing a 100% pure Python alternative to Kafka Connect! The Quix Streams Sinks API provides an easy way to integrate data from Kafka into external systems using pure Python. It handles common low-level implementation tasks so you don’t have to! Such as: • Managing the Kafka-related setup, teardown and message lifecycle • Flushing data together with checkpoints to guarantee delivery • Buffering data to handle backpressure between Kafka and your destination The best thing about the Sinks API? It simplifies custom integrations by allowing you to extend the base class and implement a few methods to handle data flow while the API manages the underlying, complex, workflow. Check out the carousel to see how we built a custom sink for InfluxDB. See the docs to for more details 👉 https://lnkd.in/eqtpVHGy @influxdb #influxdb #datascience #dataengineering #telemetrydata #kafka #python

Thank you for supporting our open-source Python package! Today, we celebrate that our open-source Python package has received 100 stars on GitHub. Being a proprietary software company, we understand that we cannot be called open-source evangelists. But we are genuinely trying to give something valuable back to the open-source community by making some of our research and accompanying code freely available. We also understand that the name of the package leaves no uncertainty as to where it comes from. These aspects make some people hesitant in relation to showing their support, but the most important thing is that people find it interesting and useful. If you haven’t seen it yet, you can find the package here: https://lnkd.in/eGmHRWvR #finance #markets #python

🚨 Troubleshooting Database Errors in Flask 🛠️ Running into database issues in your Flask application? This guide breaks down common database errors, their causes, and step-by-step troubleshooting tips. Learn how to resolve connection issues, manage migrations, and ensure smooth database performance in your Flask apps. Boost your Flask debugging skills and keep your applications error-free! Read more here: https://lnkd.in/dfTrengU #Flask #Python #Database #WebDevelopment #CodeToCareer #TechTips #Debugging #BackendDevelopment #FullStackDevelopment