Tech & code

❯ Python cs50.harvard.edu/python/ ❯ JavaScript openclassrooms.com/en/courses/566… ❯ SQL online.stanford.edu/courses/soe-yd… ❯ C alison.com/course/diploma… ❯ C++ alison.com/course/c-plus-… ❯ Java scaler.com/topics/course/… ❯ C# freecodecamp.org/learn/foundati… ❯ HTML and CSS openclassrooms.com/en/courses/526… ❯ React v2.scrimba.com/learn-react-c0e

Hi everyone 🚀👩‍💻 Many of you have been on the lookout for an all-in-one, budget-friendly *DevOps course*. Well, I’m super excited to introduce you to this amazing course by LearnTube! 🎓🔧✨ And guess what? LearnTube is proudly *backed by Google*, bringing you top-tier quality and support. 🌟🛠️📈 Highlights:- 📃Personalised DevOps course. 📰Verified DevOps Certificate recognized by Google and Amazon. 🏅3+ Industry projects. All of these for just Rs. 399 with Life Time Access Limited time offer. Click Below 👇 https://tinyurl.com/DevOpsXCoPD

Complete Roadmap map To learn SQL in one month Week 1: Introduction and Basics Day 1-2: Understanding Databases and SQL Syntax •Study relational databases and SQL’s role in managing and querying data. •Familiarize yourself with common SQL databases (e.g., MySQL, PostgreSQL, SQLite). •Install a SQL environment or use a cloud-based platform like SQLBolt, Mode, or Google BigQuery to practice. •Day 3-4: Basic SQL Commands •Learn fundamental commands such as SELECT, FROM, and WHERE. •Practice filtering data with conditions and combining them with AND, OR, and NOT operators. •Complete exercises on selecting specific columns, using DISTINCT to remove duplicates, and sorting data with ORDER BY. •Day 5-7: Basic Functions and Aggregate Functions •Learn to use basic functions like COUNT, SUM, MIN, MAX, and AVG for aggregate data analysis. •Practice grouping data with GROUP BY and filtering grouped data with HAVING. Week 2: Intermediate Querying Techniques •Day 8-10: Joining Tables •Study types of joins (INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN). •Understand primary and foreign keys and how they link tables in relational databases. •Practice combining data from multiple tables with various joins. • Day 11-12: Subqueries and Nested Queries • Learn how to create subqueries within SELECT, WHERE, and FROM clauses. • Practice writing queries that depend on other queries, focusing on readability and efficiency. • Day 13-14: Set Operations • Learn about set operators (UNION, INTERSECT, EXCEPT) to combine or filter query results. • Practice combining results from different tables or queries and filtering results. Week 3: Advanced SQL Concepts • Day 15-16: Advanced Functions • Study string functions (e.g., CONCAT, SUBSTRING, REPLACE), date functions (e.g., DATEADD, DATEDIFF), and mathematical functions. • Learn about case statements and conditional logic to customize output. • Day 17-18: Indexes and Performance Optimization • Understand indexes, their purpose, and their effect on query performance. • Study how to use EXPLAIN to analyze queries and optimize them for faster results. • Day 19-21: Stored Procedures, Triggers, and Views • Learn to create stored procedures to encapsulate SQL code for reusability. • Study triggers to automate actions based on database events. • Practice creating views to simplify complex queries for easier access. Week 4: Final Project and Practical Applications • Day 22-25: Case Study or Mini Project • Choose a dataset (e.g., a sample sales database) and outline analysis goals. • Write queries to extract insights, applying techniques from previous weeks. • Ensure to include complex joins, subqueries, and aggregate analysis. • Day 26-28: Error Handling and Best Practices • Learn common SQL pitfalls and best practices for writing clean, efficient queries. • Understand how to troubleshoot errors and optimize query structure. • Day 29-30: Review and Practice • Revisit complex topics and practice additional exercises. • Take sample SQL assessments or timed quizzes to evaluate your progress. By following this roadmap, you will build a solid SQL foundation within a month.

Learn skills from Google, IBM and Meta 1. Google Data Analytics https://lnkd.in/dh3EfuAb 2. Google Project Management https://lnkd.in/dABg5Bq2 3. Google IT Support https://lnkd.in/dTb2xFhs 4. Google Digital Marketing & E-commerce https://lnkd.in/dR5-TzGZ 5. Google IT Automation with Python https://lnkd.in/d5mVf7TD 6. Google Business Intelligence https://lnkd.in/dhf2Rvnx 7. Google Advanced Data Analytics https://lnkd.in/dh3EfuAb 8. Google Cybersecurity https://lnkd.in/dUB-QZRP 9. IBM Data Science https://lnkd.in/dn8enWRk 10. Machine Learning https://lnkd.in/diR_TFVq 11. IBM Data Analyst https://lnkd.in/dw2FCJnw 12. Python for Everybody https://lnkd.in/d8Adh_wB

Clear all DSA rounds, By mastering these 20 DSA patterns 1. Fast and Slow Pointer - Cycle detection method - O(1) space efficiency - Linked list problems 2. Merge Intervals - Sort and merge - O(n log n) complexity - Overlapping interval handling 3. Sliding Window - Fixed/variable window - O(n) time optimization - Subarray/substring problems 4. Islands (Matrix Traversal) - DFS/BFS traversal - Connected component detection - 2D grid problems 5. Two Pointers - Dual pointer strategy - Linear time complexity - Array/list problems 6. Cyclic Sort - Sorting in cycles - O(n) time complexity - Constant space usage 7. In-place Reversal of Linked List - Reverse without extra space - O(n) time efficiency - Pointer manipulation technique 8. Breadth First Search - Level-by-level traversal - Uses queue structure - Shortest path problems 9. Depth First Search - Recursive/backtracking approach - Uses stack (or recursion) - Tree/graph traversal 10. Two Heaps - Max and min heaps - Median tracking efficiently - O(log n) insertions 11. Subsets - Generate all subsets - Recursive or iterative - Backtracking or bitmasking 12. Modified Binary Search - Search in variations - O(log n) time - Rotated/specialized arrays 13. Bitwise XOR - Toggle bits operation - O(1) space complexity - Efficient for pairing 14. Top 'K' elements - Use heap/quickselect - O(n log k) time - Efficient selection problem 15. K-way Merge - Merge sorted lists - Min-heap based approach - O(n log k) complexity 16. 0/1 Knapsack (Dynamic Programming) - Choose or skip items - O(n * W) complexity - Maximize value selection 17. Unbounded Knapsack (Dynamic Programming) - Unlimited item choices - O(n * W) complexity - Multiple item selection 18. Topological Sort (Graphs) - Directed acyclic graph - Order dependency resolution - Uses DFS or BFS 19. Monotonic Stack - Maintain increasing/decreasing stack - Optimized for range queries - O(n) time complexity 20. Backtracking - Recursive decision-making - Explore all possibilities - Pruning with constraints All the best 👍👍

Get ready for a game changer! After registering, you’ll receive a call where we’ll guide and support you in making your dreams a reality. And yes, it’s absolutely free no charges, no hidden fees. Just register using the link below https://smarkerz.com/short/OJRLykR?subid=replace

Apply now 👇🏼 https://linktr.ee/python4dev1

Only few slot are left..

Google is hiring for Software Developers👇🏼 https://cuvette.tech/app/other-jobs/670a5c42b3365549d57b6868?referralCode=E6TX2W

Embark on your programming journey with Learntube's Python course backed by Google🚀 Designed for beginners, this affordable program equips you with fundamental Python skills to kickstart your coding adventure. 🐍 Highlights :- 📃Personalised Python Course 📰Verified Python Certificate recognised by Google and amazon . 🏅 3+ Industry projects and Much More. All of these for just Rs. 399 with Life Time Access Limited time offer⏰ . Click on the Link Below 👇🏼 https://tinyurl.com/PythonXCoPD

😱⚡ Only 200 seats left! ⚡😱 Seats are filling up fast—register now if you haven't! Don't miss this chance! 🔥

💻 🚀 Free 120-Day Bootcamp: Become a Full Stack Developer! 🚀 🌟 Join our exciting sessions to kickstart your coding journey! What You’ll Learn: ✅ Frontend: HTML, CSS, JavaScript ✅ Backend: Node.js, Express ✅ Live Demo: Full Stack project ✅ 120-Day Roadmap to mastery 🎯 500 seats available! Seats are filling fast! Don’t miss out! Secure your seat now! 📌 Register now! 👇 https://forms.gle/mzabRUWXCY6sLg6a6

Use these ChatGPT prompts to finish hours of work in seconds

😱😱