Python Fundamentals Course (DataCamp) 👉🏼 [ Ссылка ]
Data Analyst Track w/ Python (DataCamp) 👉🏼 [ Ссылка ]
(My recommended courses that I took to learn Python!)
For this video we cover how data analysts and data scientists set up and use Visual Studio Code (VS Code) with Python. For this we cover the basics of controls and other important features you should be using during development. Finally, we wrap things up with covering how to use Jupyter Notebooks inside VS Code.
My playlist for starting Python 👉🏼 [ Ссылка ]
Download Python w/ Anaconda here 👉🏼 [ Ссылка ]
Download VS Code here 👉🏼 [ Ссылка ]
Certificates & Courses
==================================
Coursera Courses:
📜 Google Data Analytics Certificate (START HERE) 👉🏼 [ Ссылка ]
💿 SQL for Data Science 👉🏼 [ Ссылка ]
🧾 Excel Skills for Business 👉🏼 [ Ссылка ]
🐍 Python for Everybody 👉🏼 [ Ссылка ]
📊 Data Visualization with Tableau 👉🏼 [ Ссылка ]
🏴☠️ Data Science: Foundations using R 👉🏼 [ Ссылка ]
Coursera Plus Subscription (7-day free trial) 👉🏼 [ Ссылка ]
DataCamp Courses:
🐍 Python 👉🏼 [ Ссылка ]
📈 Power BI 👉🏼 [ Ссылка ]
📊 Tableau 👉🏼 [ Ссылка ]
🏴☠️ R 👉🏼 [ Ссылка ]
🐍 Data Analyst w/ Python 👉🏼 [ Ссылка ]
DataCamp Subscription (Monthly $25USD) 👉🏼 [ Ссылка ]
👨🏼🏫 All courses 👉🏼 [ Ссылка ]
My Tech for Data Science
(Includes Amazon Affiliate Links)
==================================
💻 Dell New XPS 13 (PC of choice) 👉🏼 [ Ссылка ]
💻 Dell New XPS 15 👉🏼 [ Ссылка ]
👨🏼💻 M1 Macbook Air 8GB (Mac of choice) 👉🏼 [ Ссылка ]
👨🏼💻 M1 Macbook Pro 8GB 👉🏼 [ Ссылка ]
🔌 Must-have Mac dock 👉🏼 [ Ссылка ]
🖥 M1 Multiple monitor adapter 👉🏼 [ Ссылка ]
⌨️ Mac Keyboard 👉🏼 [ Ссылка ]
🖱 Mac Mouse 👉🏼 [ Ссылка ]
💾 Small (1TB) External HD 👉🏼 [ Ссылка ]
💾 Large (14TB) External HD 👉🏼 [ Ссылка ]
🏢 Standing Desk 👉🏼 [ Ссылка ]
📗 Data Science Must Read 👉🏼 [ Ссылка ]
📸 Camera of Choice 👉🏼 [ Ссылка ]
*For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates*
Social Media / Contact Me
======================
🙋🏼♂️Website: [ Ссылка ]
🌄 Instagram: [ Ссылка ]
⏰ TikTok: [ Ссылка ]
📘 Facebook: [ Ссылка ]
📥 Business Inquiries: luke@lukebarousse.com
As an Amazon Associate, I earn a small commission from qualifying purchases on the Amazon links above. It costs you nothing but helps me in keeping the content coming.
00:00 Intro
01:21 Starting a new project
06:10 Running Python
06:44 Linting w/ Pylint
09:57 Formatting (IAW pep8)
14:33 Enabling extensions
15:57 Zoom in/out
16:23 Search / find & replace
17:14 Source control
18:49 Debugging
22:22 Launching Jupyter Notebooks
23:21 Running code in Jupyter Notebook
26:40 Conclusion & Recap
#vscode #pythontutorial #datavisualization
