Python & Machine Learning Study Memo: Environment Preparation

Introduction

Interested in Python and machine learning, which are popular these days, and started studying. I will write it here as a memorandum.

Reference materials

Udemy Everyone's AI Course Artificial Intelligence and Machine Learning Learned from Zero with Python https://www.udemy.com/course/learning-ai/

Installed

Pycharm --Python integrated development environment ――Unlike C, Python interprets blocks by indentation, so I thought that an editor with an automatic formatting function was essential.
Anaconda3 --A package that allows you to install Python with various libraries --I installed it, but I can't start it by typing "python" from the command prompt. I'm not sure exactly who Anaconda3 is.

Where I stumbled

I stumbled upon installing numpy. I should be able to install it by pressing a button with Pycharm, but I was told that SSL is awesome. This non-installable phenomenon was solved by selecting "Existing interpriter" in the "Project interpritor" selection when "New Project" in Pycharm and setting it to refer to python.exe directly under Anaconda3. I don't really understand the karakuri here.

Learn

It was well understood that it has a high affinity for mathematical problems. For example


x = np.arange(0, 10, 0.1)
y = 2*x + 1

Only in the above, y becomes an array obtained by converting each element of the array x. Does "=" represent a map? It would be confusing if it was C's head.

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