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Python Pandas Beginner's Guide
The most popular programming languages:
1. Python
2. TypeScript
3. JavaScript
4. C#
5. HTML
6. Rust
7. C++
8. C
9. Go
10. Lua
11. Kotlin
12. Java
13. Swift
14. Jupyter Notebook
15. Shell
16. CSS
17. GDScript
18. Solidity
19. Vue
20. PHP
21. Dart
22. Ruby
23. Objective-C
24. PowerShell
25. Scala
According to the Latest GitHub Repositories
1. Python
2. TypeScript
3. JavaScript
4. C#
5. HTML
6. Rust
7. C++
8. C
9. Go
10. Lua
11. Kotlin
12. Java
13. Swift
14. Jupyter Notebook
15. Shell
16. CSS
17. GDScript
18. Solidity
19. Vue
20. PHP
21. Dart
22. Ruby
23. Objective-C
24. PowerShell
25. Scala
According to the Latest GitHub Repositories
🖥 The Information provides insights into the Stargate deal involving OpenAI:
- Concerns about Microsoft: Sam Altman was worried that Microsoft wasn't providing enough computing capacity for OpenAI to compete effectively, especially as Elon Musk launched a data center in just 3.5 months compared to Microsoft's 18 months.
- Data and Computing Expansion: Altman has been focused on enhancing OpenAI's access to data and computing power as essential for developing AGI and advancing scientific research.
- Stargate's Purpose: The Stargate initiative aims to provide OpenAI with a significant amount of affordable computing power exclusively for its use.
- Revenue Goals: OpenAI seeks to increase its revenue from $4 billion in 2024 to $12 billion in 2025, with a long-term goal of reaching $100 billion by 2029. Stargate members are considering the option to offer computing power to other companies if OpenAI's growth falters.
- Collaboration with Oracle: After Musk opted to build his own data center, Altman partnered with Oracle and Crusoe to construct a new data center in Texas for OpenAI, significantly increasing their computing resources.
- Future Expansion: Oracle has leased a 1.2 GW campus in Abilene, which will expand to 2 GW by mid-2026, with a total investment of $100 billion planned for the project.
- Oracle's Position: Oracle's CEO has close ties to both Trump and Musk, providing an incentive to support OpenAI, with Oracle's shares rising 16% following the announcement.
- Strategic Moves: Altman has maneuvered politically to secure support for OpenAI amid increasing influence from Musk, culminating in a White House announcement of the Stargate project shortly after Trump took office.
- Concerns about Microsoft: Sam Altman was worried that Microsoft wasn't providing enough computing capacity for OpenAI to compete effectively, especially as Elon Musk launched a data center in just 3.5 months compared to Microsoft's 18 months.
- Data and Computing Expansion: Altman has been focused on enhancing OpenAI's access to data and computing power as essential for developing AGI and advancing scientific research.
- Stargate's Purpose: The Stargate initiative aims to provide OpenAI with a significant amount of affordable computing power exclusively for its use.
- Revenue Goals: OpenAI seeks to increase its revenue from $4 billion in 2024 to $12 billion in 2025, with a long-term goal of reaching $100 billion by 2029. Stargate members are considering the option to offer computing power to other companies if OpenAI's growth falters.
- Collaboration with Oracle: After Musk opted to build his own data center, Altman partnered with Oracle and Crusoe to construct a new data center in Texas for OpenAI, significantly increasing their computing resources.
- Future Expansion: Oracle has leased a 1.2 GW campus in Abilene, which will expand to 2 GW by mid-2026, with a total investment of $100 billion planned for the project.
- Oracle's Position: Oracle's CEO has close ties to both Trump and Musk, providing an incentive to support OpenAI, with Oracle's shares rising 16% following the announcement.
- Strategic Moves: Altman has maneuvered politically to secure support for OpenAI amid increasing influence from Musk, culminating in a White House announcement of the Stargate project shortly after Trump took office.
📚 9 must-have Python developer tools.
1. PyCharm IDE
2. Jupyter notebook
3. Keras
4. Pip Package
5. Python Anywhere
6. Scikit-Learn
7. Sphinx
8. Selenium
9. Sublime Text
1. PyCharm IDE
2. Jupyter notebook
3. Keras
4. Pip Package
5. Python Anywhere
6. Scikit-Learn
7. Sphinx
8. Selenium
9. Sublime Text
Power BI vs Tableau: Which BI Tool is Right for You?
Ease of Use – Power BI is more beginner-friendly, especially for those familiar with Excel, while Tableau requires a steeper learning curve but offers advanced customization.
Pricing – Power BI is more affordable, making it ideal for small businesses, whereas Tableau is costlier but provides robust enterprise-level features.
Data Connectivity – Both tools support various data sources, but Tableau offers broader and deeper connectivity options for large-scale data analytics.
Visualization & Customization – Tableau excels in advanced visualizations and design flexibility, whereas Power BI provides a simpler drag-and-drop interface with strong AI-driven insights.
Performance & Speed – Tableau handles large datasets more efficiently, whereas Power BI can slow down with very complex models unless optimized.
Integration – Power BI integrates seamlessly with Microsoft products (Excel, Azure, Power Apps), while Tableau connects well with multiple platforms, including cloud services.
Community & Support – Tableau has a strong user community for data visualization, while Power BI benefits from Microsoft’s extensive support and frequent updates.
Ease of Use – Power BI is more beginner-friendly, especially for those familiar with Excel, while Tableau requires a steeper learning curve but offers advanced customization.
Pricing – Power BI is more affordable, making it ideal for small businesses, whereas Tableau is costlier but provides robust enterprise-level features.
Data Connectivity – Both tools support various data sources, but Tableau offers broader and deeper connectivity options for large-scale data analytics.
Visualization & Customization – Tableau excels in advanced visualizations and design flexibility, whereas Power BI provides a simpler drag-and-drop interface with strong AI-driven insights.
Performance & Speed – Tableau handles large datasets more efficiently, whereas Power BI can slow down with very complex models unless optimized.
Integration – Power BI integrates seamlessly with Microsoft products (Excel, Azure, Power Apps), while Tableau connects well with multiple platforms, including cloud services.
Community & Support – Tableau has a strong user community for data visualization, while Power BI benefits from Microsoft’s extensive support and frequent updates.