Code with Brij

Top 9 Http Methods- GET 🧐 - Retrieve data from a resource. HEAD 🎧 - Retrieve the headers of a resource. POST 📮 - Submit data to a resource. PUT 📥 - Update an existing resource or create a new resource. DELETE 🗑️ - Remove a resource. CONNECT 🔗 - Establish a network connection for a resource. OPTIONS ⚙️ - Describe communication options for the target resource. TRACE 🕵️‍♂️ - Retrieve a diagnostic trace of the request. PATCH 🩹 - Apply a partial update to a resource.

Those who missed the last giveaway, here is another giveaway for my book -https://www.linkedin.com/posts/brijpandeyji_so-ive-got-some-cool-news-to-share-remember-activity-7121174161401466881-FqJ6

🐧 𝗟𝗶𝗻𝘂𝘅 𝗖𝗼𝗺𝗺𝗮𝗻𝗱𝘀 𝟭𝟬𝟭 📂 𝟭. 𝗙𝗶𝗹𝗲 𝗮𝗻𝗱 𝗗𝗶𝗿𝗲𝗰𝘁𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 📂 -𝚕𝚜: List all files and directories 📋 - 𝚙𝚠𝚍: Print current directory's path 📍 - 𝚌𝚍: Change directory 🚪 - 𝚖𝚔𝚍𝚒𝚛: Create a new directory 📁 - 𝚛𝚖𝚍𝚒𝚛: Remove directory (if empty) ❌📁 - 𝚝𝚘𝚞𝚌𝚑: Create a new file 📄 - 𝚌𝚙: Copy files or directories 📤📥 - 𝚖𝚟: Move or rename files or directories 🚚 - 𝚛𝚖: Remove files or directories 🗑️ 🔧 𝟮. 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 🔄 - 𝚙𝚜: List current processes 🏃 - 𝚝𝚘𝚙: Display active processes in real-time ⏲️ - 𝚑𝚝𝚘𝚙: Interactive process viewer 📊 - 𝚔𝚒𝚕𝚕: Terminate a process ❌ - 𝚔𝚒𝚕𝚕𝚊𝚕𝚕: Terminate all instances of a process ❌🔄 - 𝚙𝚜𝚝𝚛𝚎𝚎: Display processes in a tree format 🌲 👥 𝟯. 𝗨𝘀𝗲𝗿 𝗮𝗻𝗱 𝗚𝗿𝗼𝘂𝗽 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 👥 - 𝚙𝚊𝚜𝚜𝚠𝚍: Change user password 🔑 - 𝚞𝚜𝚎𝚛𝚊𝚍𝚍: Add a new user 👤➕ - 𝚞𝚜𝚎𝚛𝚍𝚎𝚕: Remove a user 👤❌ - 𝚐𝚛𝚘𝚞𝚙𝚜: Display groups a user belongs to 🧑‍🤝‍🧑 - 𝚞𝚜𝚎𝚛𝚖𝚘𝚍: Modify user details ✏️👤 - 𝚒𝚍: Display user ID and group ID info 🆔 - 𝚐𝚛𝚘𝚞𝚙𝚊𝚍𝚍: Add a new group 🎉 - 𝚐𝚛𝚘𝚞𝚙𝚍𝚎𝚕: Delete a group 🚫 💾 𝟰. 𝗦𝘆𝘀𝘁𝗲𝗺 𝗜𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 🖥️ - 𝚞𝚗𝚊𝚖𝚎: Display system information 💻 - 𝚍𝚏: Disk space usage of file systems 💽 - 𝚍𝚞: Estimate file and directory space usage 📊 - 𝚏𝚛𝚎𝚎: Display memory usage 🧠 - 𝚕𝚜𝚌𝚙𝚞: CPU architecture info 🤖 - 𝚕𝚜𝚑𝚠: List hardware 🖨️🖱️ - 𝚕𝚜𝚋𝚕𝚔: List block devices 💾 🌐 𝟱. 𝗡𝗲𝘁𝘄𝗼𝗿𝗸 𝗖𝗼𝗻𝗳𝗶𝗴𝘂𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 🕸️ - 𝚒𝚏𝚌𝚘𝚗𝚏𝚒𝚐: Display and configure network interfaces 🖧 - 𝚒𝚙: Show/manipulate routing, devices, policy routing, and tunnels 🌍 - 𝚙𝚒𝚗𝚐: Test the reachability of a network host 📡 - 𝚗𝚎𝚝𝚜𝚝𝚊𝚝: Network statistics 📊🌐 - 𝚜𝚜: Another utility to investigate sockets 🔌 - 𝚝𝚛𝚊𝚌𝚎𝚛𝚘𝚞𝚝𝚎: Display the route and transit delays of packets 🚀 - 𝚜𝚜𝚑: Securely log into remote machines 🔐🖥️ - 𝚗𝚌: Swiss army knife for TCP/IP 💼 📦 𝟲. 𝗣𝗮𝗰𝗸𝗮𝗴𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 📦 - 𝚊𝚙𝚝-𝚐𝚎𝚝, 𝚊𝚙𝚝: Package handler for Debian systems 📥📤 - 𝚢𝚞𝚖, 𝚍𝚗𝚏: Package manager for RPM systems 🎁 - 𝚛𝚙𝚖: Package manager for RPM packages 🌀 - 𝚍𝚙𝚔𝚐: Package manager for Debian packages 📜 - 𝚜𝚗𝚊𝚙: Universal Linux package system 🌍 - 𝚣𝚢𝚙𝚙𝚎𝚛: Package manager for openSUSE 🍀 📜 𝟳. 𝗙𝗶𝗹𝗲 𝗩𝗶𝗲𝘄𝗶𝗻𝗴 𝗮𝗻𝗱 𝗘𝗱𝗶𝘁𝗶𝗻𝗴 📝 - 𝚌𝚊𝚝: Display file content 😺 - 𝚕𝚎𝚜𝚜: View file content with navigation ⬆️⬇️ - 𝚖𝚘𝚛𝚎: Another file viewer 📖 - 𝚟𝚒𝚖: A powerful text editor ✍️ - 𝚐𝚎𝚍𝚒𝚝: GNOME text editor 📝 - 𝚗𝚊𝚗𝚘: Easy-to-use text editor in the terminal 🎵

Your feedback in invaluable. I have created this document for you https://www.linkedin.com/feed/update/urn:li:activity:7120779130492604416/

https://www.linkedin.com/posts/brijpandeyji_nailing-your-sql-interview-is-easier-than-activity-7120598814838640640-8dPN?

Boost Your SQL Expertise with These 11 Free Resources: 🌐 [SQLZoo](http://sqlzoo.net) 🌍 [W3Schools - SQL](http://w3schools.com/sql) 📘 [TutorialsPoint - SQL](http://tutorialspoint.com/sql/index.htm) 🖥 [Codecademy - Learn SQL](http://codecademy.com/learn/learn-sql) ✏️ [SQLBolt](http://sqlbolt.com) 📊 [Mode SQL Tutorial](http://mode.com/sql-tutorial) 🐘 [PostgreSQL Tutorial](http://postgresqltutorial.com) 🌊 [MySQL Tutorial](http://mysqltutorial.org) 📚 [DataCamp - Intro to SQL](http://datacamp.com/courses/introduction-to-sql) 🎬 [Udemy - SQL Topics](http://udemy.com/topic/sql) 👓 [GeeksforGeeks - SQL Guide](https://geeksforgeeks.org/sql-tutorial/)

Hey Friends! 🎉 Exciting news to share! I've co-authored a book titled "Building ETL Pipelines with Python" with the incredibly talented Emily Schoof. As a celebration of this milestone, a dear friend of mine has been kind enough to host a FREE Books Giveaway for our community! 📚 *Here's what's up for grabs*: - 3 e-book copies - 2 print copies 🎁 *How can you participate?* Simply like the giveaway post and mention in the comments section whether you'd prefer an e-book or a print copy. Winners will be announced on Oct 20! 📖 *About the Book*: This book offers a comprehensive guide on building efficient ETL pipelines using Python. It's packed with best practices, tips, and practical techniques. So, if you're into Python data pipelines, this is a must-have on your bookshelf. 👩‍💻👨‍💻 *Who should read this?* Data engineers, software developers, analysts, and anyone interested in crafting top-tier ETL pipelines with Python. For more details and to participate, check out the giveaway post here: [**Giveaway Link**]https://www.linkedin.com/posts/ginacostag_data-python-dataengineering-activity-7118211215809519616-dQHf? And if you're looking to buy the book, here's where you can get it: https://brij.guru/book A big shoutout to everyone supporting this journey. Best of luck to all those participating. Remember, there are 5 copies up for grabs. Don't miss out! 🥳 ---

Dear Friends, I hope this message finds you all well. I wanted to take a moment to address something that has been weighing on my heart. Sharing content, especially free courses, has always been my way of giving back to this wonderful community that has given me so much. Yet, of late, I've been receiving hateful messages - not for what I have done wrong but for trying to spread knowledge without any expectations in return. Many of you have asked about the tools I use for the animations in my posts. I've shared time and again that I outsource my graphic needs. There isn't a "one-size-fits-all" tool; it's a symphony of various tools working together to create the magic you see. But still, the hate persists. It hurts. It's challenging to pour your heart into something, only to be met with disdain and misunderstanding. But I want to assure each of you - the ones who've stood by, learned, and grown with my posts- that I won't let these messages deter me. I will continue to share, to teach, and to give as long as I can. Because for every negative message, I remember the countless positive ones, the words of encouragement, and the stories of how a simple free course changed someone's trajectory. So, let's continue to support and uplift each other. This community is built on mutual respect, love, and the desire to learn. Let's not lose sight of that amidst the noise. Thank you for being here, for your support, and for being the silver lining. With heartfelt gratitude, Brij

𝗛𝗲𝗿𝗲 𝗮𝗿𝗲 𝘀𝗼𝗺𝗲 𝗙𝗥𝗘𝗘 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗵𝗮𝘁 𝗰𝗮𝗻 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗹𝗲𝗮𝗿𝗻 𝗲𝗻𝗱-𝘁𝗼-𝗲𝗻𝗱 𝗣𝘆𝘁𝗵𝗼𝗻 𝗱𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁: 🎓 Learn Python: https://lnkd.in/eb4ke-9P 🔨 Python Projects: https://lnkd.in/eNWBfNzk 🚸 DSA with Python: http://bit.ly/3G3Dh0V 🌐 Learn Flask: https://lnkd.in/eqAg3jZP 🔧 Flask Projects: https://lnkd.in/eqnf7h-W 🔄 Learn REST API with Flask: https://lnkd.in/e-TTahQf 🧩 Learn Multithreading & Asyncio: https://lnkd.in/e_99Jiwp 🚦 Gunicorn & Nginx with Flask: https://lnkd.in/eWxgTNdB ✅ TDD with Python & Flask: https://lnkd.in/eMjweHuZ 📚 Basic RDBMS: https://lnkd.in/ebkPd8-q 🔍 Learn SQL: https://sqlbolt.com/ & W3Schools.com 🐘 PostgreSQL with Python: https://lnkd.in/esKUqNdt 🎁 Flask App with PostgreSQL: https://lnkd.in/eTzpcwNc 💻 Basics of Bash: https://lnkd.in/eZnG8cP6 🐳 Basics of Docker: https://lnkd.in/eFEK_aXW 🚢 Deploy Flask App with Docker: https://lnkd.in/eTjnFW8Y 🌟 GIT & GitHub: https://lnkd.in/ejshTxFw 🎨 Python Portfolio on Github: https://lnkd.in/eB2AanXj 📄 Python Resume Ideas: https://lnkd.in/e_Fb7uNi

R𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗵𝗲𝗹𝗽 𝘆𝗼𝘂 𝗺𝗮𝘀𝘁𝗲𝗿 𝗣𝘆𝘁𝗵𝗼𝗻: 1. 𝗟𝗲𝗮𝗿𝗻 𝘁𝗵𝗲 𝗯𝗮𝘀𝗶𝗰𝘀: This includes data types, control flow, functions, and object-oriented programming. 2. 𝗘𝘅𝗽𝗹𝗼𝗿𝗲 𝗣𝘆𝘁𝗵𝗼𝗻 𝗹𝗶𝗯𝗿𝗮𝗿𝗶𝗲𝘀: Python has a vast ecosystem of libraries for everything from web development to data science to machine learning. Once you have a solid understanding of the basics, start exploring some of the most popular libraries, such as NumPy, pandas, Matplotlib, and scikit-learn. 3. 𝗕𝘂𝗶𝗹𝗱 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀: The best way to learn Python is by doing. Start building projects that interest you, such as a web application, a data analysis dashboard, or a machine learning model. This will help you solidify your understanding of the language and its libraries. 4. 𝗟𝗲𝗮𝗿𝗻 𝗮𝗯𝗼𝘂𝘁 𝗱𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁: Once you have built some projects, you'll need to learn how to deploy them so that others can use them. There are many different ways to deploy Python applications, such as using a web server or a container orchestration platform. 5. 𝗧𝗲𝘀𝘁 𝘆𝗼𝘂𝗿 𝗰𝗼𝗱𝗲: It's important to test your code regularly to ensure that it's working as expected. There are many different testing frameworks available for Python, such as unittest and pytest. 6. 𝗕𝘂𝗶𝗹𝗱 𝗮 𝗽𝗼𝗿𝘁𝗳𝗼𝗹𝗶𝗼: Once you have some experience with Python development, start building a portfolio of your work. This will help you demonstrate your skills to potential employers. 7. 𝗨𝗽𝗱𝗮𝘁𝗲 𝘆𝗼𝘂𝗿 𝗿𝗲𝘀𝘂𝗺𝗲: Be sure to update your resume to reflect your new Python skills. Highlight your experience with Python libraries, projects, and deployments.

Join me to see a live demo of building a no code LLM app on Flowise integrated with AWS Bedrock for FREE. 🗓️ Don't miss out! This 𝗧𝘂𝗲𝘀𝗱𝗮𝘆, 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟭𝟬𝘁𝗵, at 𝟭𝟬:𝟬𝟬 𝗮𝗺 𝗣𝗗𝗧 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://brij.guru/ai

Have you wondered what’s is DataOps or MLOps? Well, if you think it’s just another DevOps for Data or Machine learning Engineering, then you are wrong. Read the full linkedin post here - https://www.linkedin.com/posts/brijpandeyji_%3F%3F%3F%3F%3F%3F-imagine-baking-a-cake-activity-7116384165364682752-J6pP?

Such a great note on JWT(Json Web Tokens) : https://juba-notes.notion.site/JWT-attacks-4f62b2b641a84032bc624f8e8432345d

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Anomaly detection, in the simplest terms, is identifying data points, events, or observations that deviate from the expected norm or pattern in a dataset. Imagine you're looking at a pattern of dots; anomaly detection is like finding the one dot that is out of place - either too far from the others, a different color, size, etc. 𝗪𝗵𝗲𝗿𝗲 𝗮𝗻𝗱 𝗪𝗵𝘆 𝗗𝗼 𝗪𝗲 𝗨𝘀𝗲 𝗔𝗻𝗼𝗺𝗮𝗹𝘆 𝗗𝗲𝘁𝗲𝗰𝘁𝗶𝗼𝗻? The primary purpose is to identify unusual patterns that do not conform to expected behavior. It's crucial for preemptively identifying issues, ensuring quality, safeguarding against fraud, and protecting systems from potential threats. 𝗝𝗼𝗶𝗻 𝗺𝗲 for a fun and easy-to-understand session on using 𝗞𝗮𝗳𝗸𝗮 & Vectors to spot unusual patterns (or anomalies) in massive amounts of data, especially in the Internet of Things (IoT) world! 📅 Save the Date: 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆, 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟱𝘁𝗵 𝟭𝟬:𝟬𝟬𝗮𝗺 𝗣𝗗𝗧 👉 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://bit.ly/brij-ai https://www.linkedin.com/posts/brijpandeyji_anomaly-detection-in-the-simplest-terms-activity-7114780214605303809-JXZa?

Free Full Stack Certifications Courses to try in 2023: 🔸Python https://freecodecamp.org/learn/scientific-computing-with-python/ http://developers.google.com/edu/python 🔸JavaScript https://hackerrank.com/skills-verification/javascript_intermediate http://learn.microsoft.com/training/paths/build-javascript-applications-typescript 🔸SQL https://hackerrank.com/skills-verification/sql_advanced http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql 🔸Data Science https://mylearn.oracle.com/ou/learning-path/become-an-oci-data-science-professional-2023/121944 http://cognitiveclass.ai/courses/data-science-101 🔸HTML, CSS https://freecodecamp.org/learn/2022/responsive-web-design http://cs50.harvard.edu/web/ 🔸DevOps https://mylearn.oracle.com/ou/learning-path/become-an-oci-devops-professional-2023/121756 🔸Machine Learning https://freecodecamp.org/learn/machine-learning-with-python http://developers.google.com/machine-learning/crash-course 🔸Java https://data-flair.training/courses/free-java-course/ http://learn.microsoft.com/shows/java-for-beginners/ 🔸Neo4j https://graphacademy.neo4j.com/courses/neo4j-certification/ 🔸React https://hackerrank.com/skills-verification/react_basic 🔸Angular https://hackerrank.com/skills-verification/angular_intermediate 🔸C# http://learn.microsoft.com/users/dotnet/collections/yz26f8y64n7k07 https://hackerrank.com/skills-verification/c_sharp_basic 🔸Go https://hackerrank.com/skills-verification/golang_intermediate 🔸Security https://mylearn.oracle.com/ou/learning-path/become-a-cloud-security-professional-2023/121923 🔸Backend (API Dev) https://freecodecamp.org/learn/back-end-development-and-apis/ 🔸Software Engineering http://techdevguide.withgoogle.com/paths/principles/ 🔸DSA http://techdevguide.withgoogle.com/paths/data-structures-and-algorithms/ 🔸OS, Networking http://ocw.mit.edu/courses/6-033-computer-system-engineering-spring-2018/ 🔸Interview Prep (FAANG) http://techdevguide.withgoogle.com/paths/interview/

I have posted a comprehensive road map to becoming a data engineer. Your feedback is highly appreciated - https://www.linkedin.com/posts/brijpandeyji_%3F%3F-%3F%3F%3F%3F%3F-%3F%3F%3F%3F%3F%3F%3F-%3F%3F-%3F%3F-activity-7114220499018072064-Trde