Description
If you are doing Data Science work in Python try PyCharm for free: https://jb.gg/tt2
Everyone can prompt an AI to write Pandas code. The hard part — the part nobody talks about — is verifying that what it generated is actually correct. Today, I walk you through my real data science workflow in Python: loading data, using AI to suggest and run transformations, and then — most importantly — using the right tools to catch the errors that look correct but aren't.
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🚀 Tools I Use
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Openclaw setup: https://www.hostinger.com/techwithtim
VPS setup: https://www.hostinger.com/techwithtim10
Wispr Flow (Best AI Dictation): https://ref.wisprflow.ai/TechWithTim-jul26
⏳ Timestamps ⏳
00:00 | Overview
00:37 | IDE Selection
01:25 | Data Access
02:16 | Jupyter Notebooks
03:43 | AI Chat
09:50 | AI Skills
11:48 | Data Visualization Tools
14:10 | SQL Tools
16:38 | Data Wrangler
17:13 | AI Charts/Graphs
Hashtags
#DataScience #PyCharm #JupyterNotebook
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