Python, Numpy, and AWS Tutorial Basics

This tutorial covers essential topics in Python programming, Numpy for scientific computing, and AWS for cloud computing. Learn about installation procedures, IPython Notebook setup, and an overview of Python basics. Understand AWS features, usage instructions, and GPU capabilities to enhance your knowledge and skills effectively.

• Python
• Numpy
• AWS
• Tutorial
• Programming

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1. Tutorial 1: Python, Numpy, and AWS Tutorial Hongyang Li Jan 24, 2019 Slides credit by Tong Xiao

2. Python

3. Python Essentials Readability As efficient as possible Be pythonic

4. Install Python 2.7 macOS: Install homebrew (http://brew.sh/#install) brew install python Install modules If it is in homebrew-python (https://github.com/Homebrew/homebrew-python) Use brew to install it Else Use pip to install it Linux and Windows: Install Anaconda Python2.7 version (www.continuum.io/downloads)

5. Install IPython Notebook Try in terminal: jupyter notebook If not installed, run: pip install jupyter

6. Outline Python basics Numpy --- scientific computing Matplotlib --- data visualization

7. Whats AWS? A cloud server has GPU cards Can be connected by ssh Just like a server in your lab Pricing at US$0.7 / hour Reimburse at most US$20 for each registered student

8. How to Use AWS? Follow the instructions by cs231n (cs231n.github.io/aws-tutorial/) May fail to launch a g2.2xlarge instance

9. How to Use AWS? Request for it and wait for 1-2 days

10. Thanks!