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Unlocking Python: From Misconceptions to Mastery with Tony Roberts

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Conteúdo fornecido por Adam Shilton. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Adam Shilton ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For more visit adamshilton.com | Join me as we learn from Tony Roberts, founder of PyXLL, for an in-depth discussion on Python's role in Excel and beyond. We address misconceptions about Python, explore its versatility from beginner to advanced use cases, and examine the pros and cons of AI-assisted coding. Tony shares his journey creating PyXLL and explains how it empowers Excel users with Python's capabilities. The episode also covers cloud deployment considerations and the future of Python in corporate environments. Don't miss this opportunity to stay ahead of the curve with Python.

------SHOW NOTES------

- Check out PyXLL - https://www.pyxll.com/
- Watch PyXLL on YouTube - https://www.youtube.com/@python-excel
- Connect with Tony - https://www.linkedin.com/in/troberts79/

------CHAPTERS------

- (00:00:00) - Introduction of Tony Roberts and podcast overview
- (00:01:18) - Misconceptions about Python's difficulty and capabilities
- (00:24:46) - Time-saving benefits of AI in coding
- (00:27:57) - Challenges with OpenAI Whisper API and debugging
- (00:29:25) - Pragmatism in using AI for coding
- (00:32:01) - Experimenting with AI tools for coding
- (00:33:41) - Use of bots and AI in customer support
- (00:39:02) - Coding mode differences in Microsoft Copilot
- (00:45:39) - Ethical AI-generated communication in business
- (00:48:49) - Importance of genuine interest in marketing
- (00:52:56) - Transitioning from VBA to Python in corporate settings
- (01:04:50) - Considerations for coding platform choices
- (01:06:24) - Digital course plans and Python accessibility
- (01:14:58) - Using Excel as a front end for Python functions
- (01:17:21) - Conclusion and contact information

  continue reading

77 episódios

Artwork
iconCompartilhar
 
Manage episode 429117606 series 3442672
Conteúdo fornecido por Adam Shilton. Todo o conteúdo do podcast, incluindo episódios, gráficos e descrições de podcast, é carregado e fornecido diretamente por Adam Shilton ou por seu parceiro de plataforma de podcast. Se você acredita que alguém está usando seu trabalho protegido por direitos autorais sem sua permissão, siga o processo descrito aqui https://pt.player.fm/legal.

For more visit adamshilton.com | Join me as we learn from Tony Roberts, founder of PyXLL, for an in-depth discussion on Python's role in Excel and beyond. We address misconceptions about Python, explore its versatility from beginner to advanced use cases, and examine the pros and cons of AI-assisted coding. Tony shares his journey creating PyXLL and explains how it empowers Excel users with Python's capabilities. The episode also covers cloud deployment considerations and the future of Python in corporate environments. Don't miss this opportunity to stay ahead of the curve with Python.

------SHOW NOTES------

- Check out PyXLL - https://www.pyxll.com/
- Watch PyXLL on YouTube - https://www.youtube.com/@python-excel
- Connect with Tony - https://www.linkedin.com/in/troberts79/

------CHAPTERS------

- (00:00:00) - Introduction of Tony Roberts and podcast overview
- (00:01:18) - Misconceptions about Python's difficulty and capabilities
- (00:24:46) - Time-saving benefits of AI in coding
- (00:27:57) - Challenges with OpenAI Whisper API and debugging
- (00:29:25) - Pragmatism in using AI for coding
- (00:32:01) - Experimenting with AI tools for coding
- (00:33:41) - Use of bots and AI in customer support
- (00:39:02) - Coding mode differences in Microsoft Copilot
- (00:45:39) - Ethical AI-generated communication in business
- (00:48:49) - Importance of genuine interest in marketing
- (00:52:56) - Transitioning from VBA to Python in corporate settings
- (01:04:50) - Considerations for coding platform choices
- (01:06:24) - Digital course plans and Python accessibility
- (01:14:58) - Using Excel as a front end for Python functions
- (01:17:21) - Conclusion and contact information

  continue reading

77 episódios

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