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This $40 Python E-Learning Bundle Is An Easy Way to Learn Coding

This $39.97 e-learning bundle teaches you how to program in Python, and how to use its web frameworks, libraries, and other tools—less than $4 per course. Interested in becoming a self-taught programmer? You might still benefit from some instruction, and these self-paced e-courses assist you with code examples, security considerations, and real-world projects to help you build websites, apps, and games in Python. It contains 14 courses and 113 hours of content that you can access for life for $39.97 (reg. $196).

Learn Python programming with this $39.97 (reg. $196) e-learning bundle with 14 courses and 113 hours of content. That's less than $4 per course. Beginning April 1st Through April 7th.

Lenovo and Anaconda Announce Agreement to Accelerate AI Development and Deployment

Today, Lenovo announced a strategic partnership with Anaconda Inc., the leading provider of the world's most popular artificial intelligence (AI), machine learning (ML) and data science platform, to empower Lenovo's high performance data science workstations. The partnership will couple Lenovo's trusted ThinkStation and ThinkPad workstation product portfolio heritage and leadership with Anaconda's enterprise strengths for open-source leadership, security, and reliability.

The rapidly evolving world of artificial intelligence, deep learning and generative AI is opening up new opportunities for businesses and data scientists. Much of the AI innovation taking place today is driven by open-source software and cloud-based solutions, with Python being a leading software language for AI applications. However, the data security risks associated with utilizing open-source software at an enterprise level, privacy concerns and often prohibitive cost of cloud-based AI solutions, is causing many organizations to rethink their approach to investment in AI development. With Intel -powered Lenovo workstations architected with the latest generations of professional NVIDIA GPUs built for large-language model fine-tuning, and the Anaconda Navigator's ability to enable businesses to leverage open-source and AI with enhanced security, scale, and governance mechanisms in place, the partnership allows data scientists to create and deploy AI solutions with first class hardware and enterprise-grade AI software support within a more manageable investment framework.

Microsoft Brings Python Integration to Excel, but not for Everyone

Microsoft today announced that Python integration is happening, and it is coming to the latest Excel version. Through a new partnership with Anaconda, Excel will natively support executing Python code and accessing popular Python data science libraries like Pandas, Matplotlib, and Statsmodels. This integration will empower Excel users to leverage the full capabilities of Python for data transformation, analysis, and visualization without switching between separate tools. The Python integration will be available starting today in preview form for Microsoft 365 Insider beta channel members. It is being added as part of Excel's Power Query data preparation feature.

To access it, Insiders must install the latest Excel preview build, then look under the Formulas tab for the new "Insert Python" option. This will allow them to write and execute Python scripts directly in Excel worksheets. The limited-time integration preview will revert to reduced functionality once it expires. At that point, users must purchase a license to regain full access. This reflects Microsoft's strategic move to position Python as an alternative to VBA for programming and automation in Excel. With this new level of Python integration, Excel continues to evolve as a versatile hub for data analysis tasks, reducing the need to switch between separate Python and Excel workflows. Anaconda provides documentation and training resources to help users take full advantage of the new capabilities.

Update 10:58 UTC: Just to clarify: only the "Office 365" cloud version receives Python integration—no improvements for the classic offline version.
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May 15th, 2024 13:24 EDT change timezone

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