OpenAI announced the GPT-5 models in their livestream yesterday!

I watched it live and one interesting statement Sam Altman said was:

GPT-3 sort of felt to me like talking to a high school student...
GPT-4 felt like you're kind of talking to a college student.

GPT-5 is the first time that it really feels like talking to an expert in any topic, like a PhD-level expert.

Watch it here 👀 https://openai.com/live/
Alt link: https://www.youtube.com/watch?v=0Uu_VJeVVfo

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#chatgpt #prompting
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Data Engineers – Don’t Just Learn Tools. Learn This:

So you’re learning:
– Spark ✅
– Airflow ✅
– dbt ✅
– Kafka ✅

But here’s a hard truth 👇
🧠 Tools change. Principles don’t.

Top 1% Data Engineers focus on:

🔸 Data modeling – Understand star vs snowflake, SCDs, normalization.
🔸 Data contracts – Build reliable pipelines, not spaghetti code.
🔸 System design – Think like a backend engineer. Learn how data flows.
🔸 Observability – Logging, metrics, lineage. Be the one who finds data bugs.

💥 Want to level up? Do this:
✅ Build a mini data warehouse from scratch (on DuckDB + Airflow)
✅ Join open-source data eng projects
✅ Read “The Data Engineering Cookbook” (free)

📈 Don’t just run pipelines. Architect them.

SQL/MySQL Learning Series: Day 9️⃣
🔹 INSERT INTO – Adding Data

🧩 Last time, we built our table using CREATE TABLE.
Now it’s time to breathe life into it by adding real data using INSERT INTO! 🚀

---

📌 Let’s add employees to our employees table:

INSERT INTO employees (id, name, department, salary, hire_date)
VALUES (1, 'Alice', 'IT', 72000.00, '2022-03-01');

You can also insert multiple rows in one go:

INSERT INTO employees VALUES
(2, 'Bob', 'HR', 55000.00, '2021-11-15'),
(3, 'Charlie', 'Finance', 60000.00, '2023-01-10'),
(4, 'Diana', 'IT', 80000.00, '2020-08-22');

---

📊 Here's how our table looks now:

+----+---------+------------+----------+------------+
| id | name    | department | salary   | hire_date  |
+----+---------+------------+----------+------------+
| 1  | Alice   | IT         | 72000.00 | 2022-03-01 |
| 2  | Bob     | HR         | 55000.00 | 2021-11-15 |
| 3  | Charlie | Finance    | 60000.00 | 2023-01-10 |
| 4  | Diana   | IT         | 80000.00 | 2020-08-22 |
+----+---------+------------+----------+------------+

---

✅ Pro Tip: Always match values to column order and data types to avoid errors.

Next: We’ll learn how to retrieve this data with SELECT 🔍

#SQL #MySQL #SqlLearningSeries
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Pro tip:
Use desktop app when reading our SQL Series. Table view breaks on mobile.
For those who don't use Desktop, here is the image 👆

Also please make sure to react to post if you like it so we can know in which direction we should go. Thank you 🤗

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Tutorials
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Notes & Cheat Sheets
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Books
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#database #sql #mysql #rdbms
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How to Become a Rare Unicorn in Data Roles 🦄💼

You want to stand out in a sea of 10,000 data resumes?

📌 Do this instead of adding another ML course:

1️⃣ Know the business you’re applying to.
– Finance? Learn about fraud, churn, LTV.
– E-commerce? Learn about funnels, A/B tests.
– SaaS? Learn user segmentation, CAC, retention.

2️⃣ Write a case study on YOUR OWN.
🧪 Example:
– Scrape product prices
– Predict demand with simple regression
– Show a dashboard
– Share on GitHub & LinkedIn

3️⃣ Pair up with a friend who does design/product
– Build a mock analytics dashboard for a fake startup.
– You provide data insights. They design UI.

🧠 You won’t just be a "Data Scientist".
You’ll be a Data Product Thinker. And that’s rare.

🔥 Your skills + their problems = unstoppable combo.


#datascience #portfolio

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SQL/MySQL Learning Series: Day 🔟
🔹 SELECT – Retrieving Data

🧠 In the last lesson, we populated our employees table with data using INSERT INTO.

Now, let’s learn how to *read* that data using SELECT – the most used command in SQL!

---

📌 Fetch all columns and all rows:

SELECT * FROM employees;

Result:

+----+---------+------------+----------+------------+
| id | name    | department | salary   | hire_date  |
+----+---------+------------+----------+------------+
| 1  | Alice   | IT         | 72000.00 | 2022-03-01 |
| 2  | Bob     | HR         | 55000.00 | 2021-11-15 |
| 3  | Charlie | Finance    | 60000.00 | 2023-01-10 |
| 4  | Diana   | IT         | 80000.00 | 2020-08-22 |
+----+---------+------------+----------+------------+

---

📌 Fetch specific columns only:

SELECT name, salary FROM employees;

Result:

+---------+----------+
| name    | salary   |
+---------+----------+
| Alice   | 72000.00 |
| Bob     | 55000.00 |
| Charlie | 60000.00 |
| Diana   | 80000.00 |
+---------+----------+

---

🛠 Use SELECT when you want to explore, filter, or analyze your data. It’s your primary lens into the database.

Next: We’ll UPDATE data like pros 🔁💥


#SQL #MySQL #SqlLearningSeries
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