Software Engineer 👨💻 at Dice Analytics || MSCS - Artificial intelligence (AI)
Web Developer skilled in Core PHP, Laravel framework, Code-igniter(MVC/HMVC) framework, Cascading Style Sheets (CSS), JQuery, HTML5, MS-SQL, MySQL, WebSQL, Bootstrap, Google Map, Calendar, OpenStreetMap, charts, and WordPress.
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Hello Everyone, I have joined Dice Camp to enhance by analytical skills, so I have enrolled in Advance Data Science training which is about to start on 26th February, 2023. I would like to share brief about my self, I am an ACCA (Member) having ov er 11 years of working experience both in Pakistran & UAE. The main reason of opting for this program so that I improve my advance excel and analytical skills, I would like have more insights of this program and how would it contribute in improving the skills. Looking forward.
𝗪𝗵𝗮𝘁 𝗶𝘀 𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲? CI and CD stand for 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗹𝗶𝘃𝗲𝗿𝘆. In the simplest terms possible, Continuous Integration (CI) is a technique where incremental code changes are reliably and regularly made. Code updates that are merged into the repository are made reliable by automated build-and-test procedures that are sparked by CI. Then, as part of the CD process, the code is swiftly and easily deployed. The CI/CD pipeline, as used in the software industry, is the automation that enables developers to reliably transfer incremental code changes from their machines to test and production. CI/CD often can include a 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗼𝘂𝘀 𝗗𝗲𝗽𝗹𝗼𝘆𝗺𝗲𝗻𝘁 too, which means that the code that is deployed to the repository will be automatically deployed to production. Taken together, these connected practices are often referred to as a "𝗖𝗜/𝗖𝗗 𝗣𝗶𝗽𝗲𝗹𝗶𝗻𝗲". They are usually maintained by using DevOps or SRE approach. There are multiple benefits of having CI/CD pipelines, such as improved collaboration and code quality, as well as more agile and reliable systems. The image shows some tools that are commonly used in different stages of the DevOps process.
𝟭𝟮 𝗕𝗲𝘀𝘁 𝗙𝗿𝗲𝗲 𝗦𝗤𝗟 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗦𝗸𝗶𝗹𝗹𝘀.🚀 1. Introduction to Structured Query Language (SQL) 🔗https://lnkd.in/dBsbtmG7 2. Introduction to SQL for BigQuery and Cloud SQL 🔗https://lnkd.in/dGZFiwrm 3. Foundations for Big Data Analysis with SQL 🔗https://lnkd.in/ddxvVKhe 4. Analyzing Big Data with SQL 🔗https://lnkd.in/dHm2hEHj 5. Managing Big Data with MySQL 🔗https://lnkd.in/d3Uvb-EF 6. SQL for Data Science 🔗https://lnkd.in/dPvcQmnV 7. Databases and SQL for Data Science with Python 🔗https://lnkd.in/dE-cSXFg 8. Scripting with Python and SQL for Data Engineering 🔗https://lnkd.in/dCiMr73w 9. SQL for Data Science with R 🔗https://lnkd.in/dsecv_Pj 10. Microsoft Azure SQL 🔗https://lnkd.in/dzkkDEDF 11. Oracle SQL Basics 🔗https://lnkd.in/dHwwCUN7 12. Troubleshooting Common SQL Errors with BigQuery 🔗https://lnkd.in/dditSmpe
#FREE 𝗔𝗺𝗮𝘇𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟯 🤩 1. Getting Started with Data Analytics on AWS 🔗https://lnkd.in/dgydiryy 2. Practical Data Science on the AWS Cloud Specialization 🔗https://lnkd.in/dT2dJ_fh 3. Getting Started with AWS Machine Learning 🔗https://lnkd.in/dnUTgTmT 4. Introduction to Machine Learning on AWS 🔗https://lnkd.in/dnK75Hvv 5. Hands-on Machine Learning with AWS and NVIDIA 🔗https://lnkd.in/dNf9Sqvg 6. AWS Fundamentals Specialization 🔗https://lnkd.in/dSV9jhRz 7. Building Modern Python Applications on AWS 🔗https://lnkd.in/dDP7ua5k 8. AWS Cloud Technical Essentials 🔗https://lnkd.in/dzBKFGcW 9. AWS Fundamentals: Addressing Security Risk 🔗https://lnkd.in/dYzyxVZ5 10. AWS Cloud Solutions Architect Professional Certificate 🔗https://lnkd.in/dEqR6Vy9 11. Architecture Solutions on AWS 🔗https://lnkd.in/dhgWJF8Z 12. AWS Fundamentals: Migrating to the Cloud 🔗https://lnkd.in/dvqCcCn3 13. AWS Cloud Practitioner Essentials 🔗https://lnkd.in/dmQj2fcG 14. Hosting Simple Web Applications using Amazon Lightsail 🔗https://lnkd.in/dZ8HgePR 15. DevOps on AWS: Operate and Monitor 🔗https://lnkd.in/dm2KKUGJ 16. Introduction to AWS Identity and Access Management 🔗https://lnkd.in/djRF3jMr 17. AWS Fundamentals: Building Serverless Applications 🔗https://lnkd.in/dqPd7ZJu 18. Building Modern Node.js Applications on AWS 🔗https://lnkd.in/dpDmZfmX 19. Containerized Applications on AWS 🔗https://lnkd.in/d-cGRDee
🚀 Top 10 Websites Every Web Developer Must Use! 🚀 1. Trello - A project management tool that can be useful for organizing and tracking web development projects. Link: https://trello.com/ 2. GIMP - A free and open-source image editing software that can be useful for creating and editing web graphics. Link: https://www.gimp.org/ 3. Google PageSpeed Insights - A website that can be used for testing and optimizing website performance. Link: https://lnkd.in/du5t6yg5 4. CodePen - A social development environment where developers can write, share, and test HTML, CSS, and JavaScript code snippets. Link: https://codepen.io/ 5. CanIUse - A website that allows developers to check the compatibility of web technologies across different browsers. Link: https://caniuse.com/ 6. W3Schools - An online learning platform that offers tutorials and references on web development technologies such as HTML, CSS, JavaScript, and more. Link: https://www.w3schools.com/ 7. MDN Web Docs - A comprehensive reference guide for web developers that includes documentation on HTML, CSS, JavaScript, and other web technologies. Link: https://lnkd.in/dFNytMiK 8. JSONPlaceholder - A fake REST API that can be used for testing and prototyping web applications. Link: https://lnkd.in/dqzc7Gdp 9. TinyPNG - A website that can be used for compressing and optimizing image files for web use. Link: https://tinypng.com/ 10. StackBlitz - An online code editor that can be used for developing and testing web a
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