Excel vs Power BI: Key Differences

Excel:
- Purpose: Ideal for spreadsheet tasks, basic calculations, and small-scale data analysis.
- Best For: Creating simple reports, working with small datasets, and producing basic charts.
- Data Handling: Best suited for small to medium-sized datasets; performance can decline with larger data.
- Visualizations: Offers basic charts and graphs but lacks interactivity.
- Sharing: Usually shared via email or cloud storage (e.g., OneDrive); not ideal for real-time collaboration.
- Automation: Limited automation capabilities, with manual refreshes or basic macros.

Power BI:
- Purpose: Designed for advanced data analysis and creating interactive, visually rich reports.
- Best For: Handling large datasets, integrating data from multiple sources, and building dynamic dashboards.
- Data Handling: Efficient with very large datasets, maintaining high performance.
- Visualizations: Provides highly interactive visualizations with drill-down features and deep insights.
- Sharing: Allows real-time collaboration through online sharing and automatic report updates.
- Automation: Supports automatic data refreshes and real-time reporting capabilities.

React ❤️ for more

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GPT-4.1 is now available in ChatGPT – the model codes much better than GPT-4o and is significantly faster than o3.

It also has a huge context window – up to 1 million tokens.

It’s currently only available to paid subscribers, the free version will only be GPT-4.1-mini.

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Most Important Figma Plugins in 2025

Thread Here: https://t.me/designresourcestp/79

One day or Day one. You decide.

Data Science edition.

𝗢𝗻𝗲 𝗗𝗮𝘆 : I will learn SQL.
𝗗𝗮𝘆 𝗢𝗻𝗲: Download mySQL Workbench.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will build my projects for my portfolio.
𝗗𝗮𝘆 𝗢𝗻𝗲: Look on Kaggle for a dataset to work on.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will master statistics.
𝗗𝗮𝘆 𝗢𝗻𝗲: Start the free Khan Academy Statistics and Probability course.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will learn to tell stories with data.
𝗗𝗮𝘆 𝗢𝗻𝗲: Install Tableau Public and create my first chart.

𝗢𝗻𝗲 𝗗𝗮𝘆: I will become a Data Scientist.
𝗗𝗮𝘆 𝗢𝗻𝗲: Update my resume and apply to some Data Science job postings.

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Researchers Expose New Intel CPU Flaws Enabling Memory Leaks and Spectre v2 Attacks

Researchers at ETH Zürich have discovered yet another security flaw that they say impacts all modern Intel CPUs and causes them to leak sensitive data from memory, showing that the vulnerability known as Spectre continues to haunt computer systems after more than seven years.

The vulnerability, referred to as Branch Privilege Injection (BPI), "can be exploited to misuse the prediction calculations of the CPU (central processing unit) in order to gain unauthorized access to information from other processor users," ETH Zurich

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Essential Tools, Libraries, and Frameworks to learn Artificial Intelligence

1. Programming Languages:
* Python
* R
* Java
* Julia

2. AI Frameworks:
* TensorFlow
* PyTorch
* Keras
* MXNet
* Caffe

3. Machine Learning Libraries:
* Scikit-learn: For classical machine learning models.
* XGBoost: For boosting algorithms.
* LightGBM: For gradient boosting models.

4. Deep Learning Tools:
* TensorFlow
* PyTorch
* Keras
* Theano

5. Natural Language Processing (NLP) Tools:
* NLTK (Natural Language Toolkit)
* SpaCy
* Hugging Face Transformers
* Gensim

6. Computer Vision Libraries:
* OpenCV
* DLIB
* Detectron2

7. Reinforcement Learning Frameworks:
* Stable-Baselines3
* RLlib
* OpenAI Gym

8. AI Development Platforms:
* IBM Watson
* Google AI Platform
* Microsoft AI

9. Data Visualization Tools:
* Matplotlib
* Seaborn
* Plotly
* Tableau

10. Robotics Frameworks:
* ROS (Robot Operating System)
* MoveIt!

11. Big Data Tools for AI:
* Apache Spark
* Hadoop

12. Cloud Platforms for AI Deployment:
* Google Cloud AI
* AWS SageMaker
* Microsoft Azure AI

13. Popular AI APIs and Services:
* Google Cloud Vision API
* Microsoft Azure Cognitive Services
* IBM Watson AI APIs

14. Learning Resources and Communities:
* Kaggle
* GitHub AI Projects
* Papers with Code

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Quantum radar is a cutting-edge technology that uses quantum entanglement—specifically entangled photons—to detect stealth aircraft without emitting traditional radar signals.

Unlike conventional radar, which sends out detectable waves, quantum radar compares subtle changes in quantum states to identify objects, making it ideal for spotting stealthy or camouflaged targets.

The key advantage lies in its ability to operate covertly and resist jamming or interference.

Though still largely experimental, countries like China and research labs in the West are actively developing early-stage quantum radar systems.

If successful, this technology could revolutionize surveillance and defense by rendering stealth aircraft detectable once again.

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As of May 16, Block IBIT held 65,976,252 bitcoins, exceeding 3% of the total supply of bitcoins. Its position market value exceeds 65.9 billion US dollars 💸

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8 AI Tools Just for Fun:

1. Tattoo Artist
https://tattoosai.com

2. Talk to Books
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3. Vintage Headshots
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4. Hello to Past
https://hellohistory.ai

5. Fake yourself
https://fakeyou.com

6. Unreal Meal
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7. Reface AI
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8. Voice Changer
https://voicemod.net

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Are you interested in Cloud Security ?

Here are some FREE Cloud Security Courses/Certifications

AWS Security Fundamentals.
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Become a Cloud Security Professional- Oracle
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Cloud Computing Security - CISA
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Cloud Governance and Principle- Cybrary
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Cloud Computing Security - University of Colorado System
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Lesson in Unity for Wealth Creation 🚀
In a bold move, OpenAI CEO Sam Altman reached out to Elon Musk on X, urging them to bury the hatchet. Responding to a resurfaced tweet from Musk, Altman admitted, “We were both wrong, or at least I certainly was.” With a nod to their shared vision, he added, “Anyway, see you next week, let’s be friends. AGI [artificial general intelligence] is too important to let a little feud get in the way.”
This public gesture has the tech world buzzing. Musk, a former OpenAI co-founder, parted ways to launch xAI, often clashing with Altman over OpenAI’s direction. Yet, Altman’s call for unity highlights a bigger picture—collaboration over conflict.
Why It Inspires Investors: The pursuit of groundbreaking AI, like wealth-building, thrives on focus and partnerships. Altman and Musk’s potential reconciliation shows that even titans set aside differences for a greater goal. For investors, it’s a reminder: don’t let ego or past setbacks derail your strategy.

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Michael Saylor faces class action over Bitcoin strategy

A class action lawsuit has been filed against Michael Saylor and his firm, Strategy, accusing them of misleading investors about Bitcoin returns and downplaying volatility.

Plaintiffs allege undisclosed conflicts of interest and exaggerated claims about BTC as a dollar alternative.

The case could set new standards for crypto-related financial disclosures.

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AI Tools

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The Early Days: Where Stack Overflow Is Your Co-Pilot

Every developer starts with:

Copy-pasting code without fully understanding it.

Googling “how to center a div” 15 times a day. 😂

Celebrating when the code finally works — without knowing why it works 🤔

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A millionaire To-Do List

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Technical skills for Power BI Developer :

- Proficiency in Power BI (Desktop, Service, Mobile).

- Expertise in creating dashboards, reports, and visualizations.

- Advanced knowledge of DAX (Data Analysis Expressions).

- Strong data modeling (star/snowflake schema, relationships, hierarchies).

- Proficiency in SQL for querying and optimizing databases.

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🚨 How not to lose all your money on a scam?

Experience shows that scammers evolve along with the market. Newcomers continue to fall into the traps of scammers. And I don't stop telling you how to avoid being scammed in the crypto market, particularly in telegram.

Types of scams via telegram and social networks 👇

❌ Fake token

A scammer buys a news/analytics channel with normal content. Then buys ads in the top channels and under the fresh audience publishes signals urging to buy token X before listing on the main exchanges.

Initially, the token is fake. The contract spells out a feature that prohibits selling the token. That's why the price goes up forever, the scammer gets richer, and the hamsters get poorer.

✅ Conclusion: Before buying, check the token on CoinMarketCap, analyze its tweet. Do NOT buy tokens through contracts published in channels/chats. All official contracts are on CMC or Coingecko.

❌ Scam Telegram Ads

Telegram Ads are ads that pop up at the bottom of the channel. Only Telegram is responsible for these ads. Channel admins have no influence on the quality of these ads and get nothing out of it.

Sometimes scammers advertise their channels through Telegram Ads, showing their successful signals. And after a while, they skam subscribers through trust management (TMA) or skam tokens.

✅ Conclusion: Do not trust those channels which offer to deposit money somewhere, buy signals or give money to a trust.

❌ Phishing links in official social networks

There have been many cases where discord or twitter of big projects have been hacked and posted phishing links to airdrop or mint NFT. Or scammers have created similar social networks and offered to get free tokens/NFT on the site right now.

After connecting to the site and signing the transaction, the scammer would gain access to your wallet. These are far from isolated cases.

✅ Conclusion: Always have several wallets. A primary one for connecting to trusted sites (OpenSea, Uniswap) and storing liquid assets. And secondary - for activities, dubious projects and riserch.

💭No one is immune to scammers. To lose less, use the rule of thumb: "Go slower when it comes to making money, and faster when you want to keep your assets.

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Introducing the Crypto Exchange: https://t.me/techpsyche/935

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