For Indian Audience

Acharya Prashant's Column in The Sunday Guardian

On Indo-Pak Conflict: "Defeating the Monster Without Becoming a Monster"

✨➖✨➖✨

"Modern war does not begin with missiles and tanks, but in the domain of public opinion. It is triggered by news, goaded by rhetoric, and fueled further by an unscrupulous media. Nationalism, when manipulated, becomes a cacophony that stifles reflective thought. As war becomes more like entertainment, wisdom stands diminished.

Currently, television studios and websites are platforms for the development and distortion of public opinion. The audience is confined to the space of passive reception of emotionally charged stories, and truth often stands shrouded behind spectacle. In this scenario, calls for escalation are, for the most part, emotive, and deliberation is rare."

✨➖✨➖✨

Read the full article:
https://sundayguardianlive.com/featured/defeating-the-monster-without-becoming-a-monster

https://github.com/elder-plinius/CL4R1T4S/blob/main/ANTHROPIC/Claude_4.txt

📝 The system prompt for Claude 4 has leaked online

The instruction sets the rules for communication, roles, and limitations for Claude 4. The document is over 60,000 characters long.

This is to say that it would be interesting to see how prompts are composed, as it might be useful for the assistants you are developing 🤫

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How to Learn Java in 2024

1. Set Clear Goals:
   - Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?


2. Choose a Structured Learning Path:
   - Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.


3. Start with the Basics:
   - Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.


4. Master Object-Oriented Programming:
   - Learn about classes, objects, inheritance, polymorphism, and encapsulation.


5. Explore Java Libraries:
   - Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.


6. Practice Regularly:
   - Write code regularly to reinforce your understanding and identify areas where you need more practice.


7. Leverage Online Resources:
   - Utilize online courses, tutorials, and documentation to supplement your learning.


8. Join a Coding Community:
   - Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.


9. Build Projects:
   - Create simple projects to apply your skills and gain practical experience.


10. Stay Updated with Java Releases:
    - Keep up with the latest Java releases and updates to ensure your knowledge remains current.


11. Explore Frameworks and Tools:
    - Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.


12. Contribute to Open Source Projects:
    - Contribute to open source Java projects to gain real-world experience and showcase your skills.


13. Seek Feedback and Mentoring:
    - Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.


14. Prepare for Certifications:
    - Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.


15. Network with Java Developers:
    - Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.

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Must-Know Power BI Charts & When to Use Them

1. Bar/Column Chart

Use for: Comparing values across categories
Example: Sales by region, revenue by product

2. Line Chart

Use for: Trends over time
Example: Monthly website visits, stock price over years

3. Pie/Donut Chart

Use for: Showing proportions of a whole
Example: Market share by brand, budget distribution

4. Table/Matrix

Use for: Detailed data display with multiple dimensions
Example: Sales by product and month, performance by employee and region

5. Card/KPI

Use for: Displaying single important metrics
Example: Total Revenue, Current Month’s Profit

6. Area Chart

Use for: Showing cumulative trends
Example: Cumulative sales over time

7. Stacked Bar/Column Chart

Use for: Comparing total and subcategories
Example: Sales by region and product category

8. Clustered Bar/Column Chart

Use for: Comparing multiple series side-by-side
Example: Revenue and Profit by product

9. Waterfall Chart

Use for: Visualizing increment/decrement over a value
Example: Profit breakdown – revenue, costs, taxes

10. Scatter Chart

Use for: Relationship between two numerical values
Example: Marketing spend vs revenue, age vs income

11. Funnel Chart

Use for: Showing steps in a process
Example: Sales pipeline, user conversion funnel

12. Treemap

Use for: Hierarchical data in a nested format
Example: Sales by category and sub-category

13. Gauge Chart

Use for: Progress toward a goal
Example: % of sales target achieved

Hope it helps :)

#powerbi

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Today, let's move to the next topic in the SQL Learning Series:

📊 *SQL Interview Series*

🧠 *Find the Second Highest Salary*

👨‍💻 *Sample Table: employees*

| id | name | salary |
|----|---------|--------|
| 1 | Alice | 5000 |
| 2 | Bob | 7000 |
| 3 | Charlie | 6000 |
| 4 | David | 7000 |


✅ *Method 1: Using LIMIT & DISTINCT (MySQL)*

SELECT DISTINCT salary  
FROM employees  
ORDER BY salary DESC  
LIMIT 1 OFFSET 1;

🔹 *DISTINCT* removes duplicates
🔹 *OFFSET 1* skips the highest to fetch the second highest


✅ *Method 2: Using Subquery*

SELECT MAX(salary)  
FROM employees  
WHERE salary < (  
  SELECT MAX(salary) FROM employees  
);

🔹 Inner query gets highest salary (7000)
🔹 Outer gets highest < 7000 ⇒ *6000*

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Today, Let’s move on to the next topic in the Python Coding Challenge:⚡🐍

🔹 *Day 11: Lambda, map(), and filter()*

🧠 *What is a Lambda Function?*

A lambda function is an anonymous function written in one line using the lambda keyword.

✅ *Syntax:*

lambda arguments: expression

🔸 *Example:*

square = lambda x: x ** 2
print(square(5)) # Output: 25

> 🔹 Use lambdas when you need a simple function for a short time — usually as an argument to map(), filter(), or sorted().




🧩 *map() — Apply a Function to All Items*

Takes a function and an iterable, and applies the function to every item in the iterable.


nums = [1, 2, 3, 4]
squares = list(map(lambda x: x ** 2, nums))
print(squares) # Output: [1, 4, 9, 16]


🧼 *filter() — Filter Items Based on a Condition*

Filters the iterable by applying a function that returns True/False.


nums = [1, 2, 3, 4, 5, 6]
even = list(filter(lambda x: x % 2 == 0, nums))
print(even) # Output: [2, 4, 6]


🔨 *Mini Project: Filter & Transform List*

nums = list(range(1, 21))

# Step 1: Keep only even numbers
even_nums = list(filter(lambda x: x % 2 == 0, nums))

# Step 2: Square the even numbers
squared_evens = list(map(lambda x: x ** 2, even_nums))

print("Even numbers:", even_nums)
print("Squared evens:", squared_evens)


You just combined filtering and transformation using lambda, map, and filter!


*React with ❤️ once you’re ready for the quiz*

Python Coding Challenge:

🚽 The Godfather of AI suggests becoming a plumber

Geoffrey Hinton, one of the pioneers of neural networks, says that AI will soon replace everyone engaged in 'routine intellectual work.' Call centers, lawyers, office clerks—basically, everyone whose job can be described in words—are at risk.

Hinton advises two paths for salvation: either become a super-specialist or work with your hands. Because AI still doesn't know how to properly interact with the physical world.

'So becoming a plumber is not the worst idea,' is the main quote.

I don’t know, I only noticed the key word ‘still,’ meaning that routine labor will eventually be replaced by robots sooner or later 💅

@Skynet_Dreams

📊 Skywork is an AI assistant for investors that performs deep financial analysis faster than Wall Street analysts.

The key feature is Knowledge: you upload all your spreadsheets, charts, and reports, and the AI compiles a guide, highlights trends, and generates forecasts on its own. Visuals, conclusions, and advice—all in one. It's like hiring a team of analysts, but for free and in minutes.

Try using the following prompt:

CREATE A SLIDE DECK ON NASDAQ 100 COMPANIES CATEGORIZED BY SECTOR. For each sector, include:
1. A list of companies in that sector
2. Key metrics: Market cap, revenue, growth rate
3. Performance trends for each sector (up to last quarter)
4. Visual comparison of sector performance
5. Emerging trends or notable insights within each sector.

@Skynet_Dreams

Advanced Skills to Elevate Your Data Analytics Career

1️⃣ SQL Optimization & Performance Tuning

🚀 Learn indexing, query optimization, and execution plans to handle large datasets efficiently.

2️⃣ Machine Learning Basics

🤖 Understand supervised and unsupervised learning, feature engineering, and model evaluation to enhance analytical capabilities.

3️⃣ Big Data Technologies

🏗️ Explore Spark, Hadoop, and cloud platforms like AWS, Azure, or Google Cloud for large-scale data processing.

4️⃣ Data Engineering Skills

⚙️ Learn ETL pipelines, data warehousing, and workflow automation to streamline data processing.

5️⃣ Advanced Python for Analytics

🐍 Master libraries like Scikit-Learn, TensorFlow, and Statsmodels for predictive analytics and automation.

6️⃣ A/B Testing & Experimentation

🎯 Design and analyze controlled experiments to drive data-driven decision-making.

7️⃣ Dashboard Design & UX

🎨 Build interactive dashboards with Power BI, Tableau, or Looker that enhance user experience.

8️⃣ Cloud Data Analytics

☁️ Work with cloud databases like BigQuery, Snowflake, and Redshift for scalable analytics.

9️⃣ Domain Expertise

💼 Gain industry-specific knowledge (e.g., finance, healthcare, e-commerce) to provide more relevant insights.

🔟 Soft Skills & Leadership

💡 Develop stakeholder management, storytelling, and mentorship skills to advance in your career.

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SQL Interview Questions with Answers

1. How to change a table name in SQL?
This is the command to change a table name in SQL:
ALTER TABLE table_name
RENAME TO new_table_name;
We will start off by giving the keywords ALTER TABLE, then we will follow it up by giving the original name of the table, after that, we will give in the keywords RENAME TO and finally, we will give the new table name.

2. How to use LIKE in SQL?
The LIKE operator checks if an attribute value matches a given string pattern. Here is an example of LIKE operator
SELECT * FROM employees WHERE first_name like ‘Steven’;
With this command, we will be able to extract all the records where the first name is like “Steven”.

3. If we drop a table, does it also drop related objects like constraints, indexes, columns, default, views and sorted procedures?
Yes, SQL server drops all related objects, which exists inside a table like constraints, indexes, columns, defaults etc. But dropping a table will not drop views and sorted procedures as they exist outside the table.

4. Explain SQL Constraints.
SQL Constraints are used to specify the rules of data type in a table. They can be specified while creating and altering the table. The following are the constraints in SQL: NOT NULL CHECK DEFAULT UNIQUE PRIMARY KEY FOREIGN KEY

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