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𝟱. 𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
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𝟲. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
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https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/

𝟴. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
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https://learn.microsoft.com/en-us/training/modules/analyze-images-computer-vision/

𝟭𝟬. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/responsible-generative-ai/


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🤖 Best AI Coding Tools for Developers in 2024

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40 famous GitHub repos to help you pass software engineering job interviews:

𝗖𝗼𝗱𝗶𝗻𝗴 𝗮𝗻𝗱 𝗦𝘆𝘀𝘁𝗲𝗺 𝗗𝗲𝘀𝗶𝗴𝗻

1. Tech Interview Handbook:
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𝗙𝗿𝗼𝗻𝘁𝗲𝗻𝗱:

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30. You Don't know JS by Kyle Simpson:
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𝗠𝗶𝘀𝗰𝗲𝗹𝗹𝗮𝗻𝗲𝗼𝘂𝘀

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*#06#- IMEI number

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##7764726-Hidden service

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𝗢𝗿𝗮𝗰𝗹𝗲 𝗦𝗤𝗟 𝗙𝗥𝗘𝗘 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗖𝗼𝘂𝗿𝘀𝗲😍

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👉 LTI: https://lnkd.in/dnCVuQzD
👉 Capgemini: https://lnkd.in/dZBUYY88
👉 DXC Technology: https://lnkd.in/dnVzT7eb
👉 HCL: https://lnkd.in/dwTuQWAf
👉 Hashedin: https://lnkd.in/d2ePnTG4
👉 Hexaware: https://jobs.hexaware.com/
👉 Revature: https://lnkd.in/dtJkkrBp
👉 IBM: https://lnkd.in/dU-VhUCw

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Age of Programming Languages👨🏻‍💻

🦅 Swift (10 years old) (2014)
🚀 Kotlin (12 years old) (2011)
🦀 Rust (13 years old) (2010)
🐹 Go (14 years old) (2009)
🔷 TypeScript (11 years old) (2012)
🎸 C# (23 years old) (2000)
💎 Ruby (28 years old) (1995)
☕ Java (28 years old) (1995)
🌐 JavaScript (28 years old) (1995)
🐘 PHP (29 years old) (1994)
🐍 Python (33 years old) (1991)
🐪 Perl (36 years old) (1987)
🚀 C++ (38 years old) (1985)
📱 Objective-C (39 years old) (1984)
🔍 Prolog (51 years old) (1972)
🗣️ Smalltalk (51 years old) (1972)
🖥️ C (51 years old) (1972)
📝 Pascal (53 years old) (1970)
🎓 BASIC (59 years old) (1964)
💼 COBOL (64 years old) (1959)
🤖 Lisp (65 years old) (1958)
📜 Fortran (66 years old) (1957)

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SQL Essentials for Quick Revision

🚀 SELECT
Retrieve data from one or more tables.

🎯 WHERE Clause
Filter records based on specific conditions.

🔄 ORDER BY
Sort query results in ascending (ASC) or descending (DESC) order.

📊 Aggregation Functions

MIN, MAX, AVG, COUNT: Summarize data.

Window Functions: Perform calculations across a dataset without grouping rows.


🔑 GROUP BY
Group data based on one or more columns and apply aggregate functions.

🔗 JOINS

INNER JOIN: Fetch matching rows from both tables.

LEFT JOIN: All rows from the left table and matching rows from the right.

RIGHT JOIN: All rows from the right table and matching rows from the left.

FULL JOIN: Combine rows when there is a match in either table.

SELF JOIN: Join a table with itself.


🧩 Common Table Expressions (CTE)
Simplify complex queries with temporary result sets.

Quick SQL Revision Notes 📌
Master these concepts for interviews and projects!

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Everyone's talking about #ChatGPT. But 90% of you are missing out on the AI revolution. Here are the top AI tools you NEED to know about.

1. Krisp: Krisp's AI removes background voices, noises, and echo from your calls, giving you peace of call
Link: https://krisp.ai/


2. Beatoven: Create unique royalty-free music that elevates your story
Link: https://www.beatoven.ai/


3. Cleanvoice: Automatically edit your podcast episodes
Link: https://cleanvoice.ai/


4. Podcastle: Studio quality recording, right from your computer
Link: https://podcastle.ai/


5. Flair: Design branded content in a flash
Link: https://flair.ai/


6. Illustroke: Create killer vector images from text prompts
Link: https://illustroke.com/


7. Patterned: Generate the exact patterns you need for and design
Link: https://www.patterned.ai/


8. Stockimg: Generate the perfect stock photo you need, every time
Link: https://stockimg.ai/


9. Copy: AI Generated copy, that actually increases conversion
Link:https://www.copy.ai/


10. CopyMonkey: Create Amazon listings in seconds
Link: http://copymonkey.ai/


11. Ocoya: Create and schedule social media content 10x faster
Link: https://www.ocoya.com/


12. Unbounce Smart Copy: Write high-performing cold emails at scale
Link: https://unbounce.com/


13. Vidyo: Make short-form vids from long-form content in just a few clicks
Link: https://vidyo.ai/


14. Maverick: Generate personalized videos at scale
Link:https://lnkd.in/dmrkz_ah


15. Quickchat: AI chatbots that automate customer service charts
Link: https://www.quickchat.ai/


16. Puzzle: Build an AI-powered knowledge base for your team and customers
Link: https://www.puzzlelabs.ai/


17. Soundraw: Stop searching for the song you need. Create it.
Link: https://soundraw.io/


18. Cleanup: Remove any wanted object, defect, people, or text from your pictures in seconds
Link: https://cleanup.pictures/


19. Resumeworded: Improve your resume and LinkedIn profile
Link: https://lnkd.in/d9EurcnX


20. Looka: Design your own beautiful brand
Link: https://looka.com/


21. theresanaiforthat: Comprehensive database of AIs available for every task
Link: https://lnkd.in/dKhqaaF3


22. Synthesia: Create AI videos by simply typing in text.
Link: https://www.synthesia.io/


23. descript: New way to make video and podcasts
Link: https://lnkd.in/d_Kdj35E


24. Otter: Capture and share insights from your meetings
Link: https://otter.ai/


25. Inkforall: AI content (Generation, Optimization, Performance)
Link: https://inkforall.com/


26. Thundercontent: Generate Content with AI
Link: https://lnkd.in/djFxMZsZ


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Excel vs SQL vs Python (pandas):

1️⃣ Filtering Data
↳ Excel: =FILTER(A2:D100, B2:B100>50) (Excel 365 users)
↳ SQL: SELECT * FROM table WHERE column > 50;
↳ Python: df_filtered = df[df['column'] > 50]

2️⃣ Sorting Data
↳ Excel: Data → Sort (or =SORT(A2:A100, 1, TRUE))
↳ SQL: SELECT * FROM table ORDER BY column ASC;
↳ Python: df_sorted = df.sort_values(by="column")

3️⃣ Counting Rows
↳ Excel: =COUNTA(A:A)
↳ SQL: SELECT COUNT(*) FROM table;
↳ Python: row_count = len(df)

4️⃣ Removing Duplicates
↳ Excel: Data → Remove Duplicates
↳ SQL: SELECT DISTINCT * FROM table;
↳ Python: df_unique = df.drop_duplicates()

5️⃣ Joining Tables
↳ Excel: Power Query → Merge Queries (or VLOOKUP/XLOOKUP)
↳ SQL: SELECT * FROM table1 JOIN table2 ON table1.id = table2.id;
↳ Python: df_merged = pd.merge(df1, df2, on="id")

6️⃣ Ranking Data
↳ Excel: =RANK.EQ(A2, $A$2:$A$100)
↳ SQL: SELECT column, RANK() OVER (ORDER BY column DESC) AS rank FROM table;
↳ Python: df["rank"] = df["column"].rank(method="min", ascending=False)

7️⃣ Moving Average Calculation
↳ Excel: =AVERAGE(B2:B4) (manually for rolling window)
↳ SQL: SELECT date, AVG(value) OVER (ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS moving_avg FROM table;
↳ Python: df["moving_avg"] = df["value"].rolling(window=3).mean()

8️⃣ Running Total
↳ Excel: =SUM($B$2:B2) (drag down)
↳ SQL: SELECT date, SUM(value) OVER (ORDER BY date) AS running_total FROM table;
↳ Python: df["running_total"] = df["value"].cumsum()



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