Coding seminar at CMI@IIT using Python 3.9 and above.
All materials are to be uploaded here, please be patient 🙏
This seminar aims to help you solve problems by yourself.
For example, when you want to run Fourier transformation for your data, you google Fourier transformation Python
. What you find will be scipy.fft
page and you
read the code. Can you figure out
- where to type this code;
- how to insert your data instead of example;
- how to handle the data afterward?
This seminar covers up these kind of problems, so that when you find the solution you can directly jump to implement it to your code.
This seminar doesn't cover ABC of coding. For those totally new to coding, I recommend to start getting your hands on some basic coding lessons online.
12/07/2023 11:00-12:00 PSV Aula 1:
Lesson 1 – Get ready to code: prepare your environment
Keywords: environment, Visual Studio Code, Jupyter Notebook, GitHub Copilot, Docker, Google Colab
14/07/2023 11:00-12:00 PSV Aula 1:
Lesson 2 – Divide and conquer 1/2: read, plot
Keywords: input, output, csv, numpy
, matplotlib
, pandas
, seaborn
, ChatGPT
26/07/2023 11:00-12:00 PSV Aula 1:
Lesson 3 – Divide and conquer 2/2: calculate, visualize, output
Keywords: fitting, APIs, ChatGPT API, git
28/07/2023 11:00-12:00 PSV Aula 1:
Lesson 4 – Let it be done by machine: very brief introduction to machine learning
Keywords: scikit-learn
, lightgbm
, tensorflow
, keras
, pytorch
02/08/2023 11:00-12:00 PSV Aula 1:
Lesson 5 – Operate machines/collaborations and version control
Keywords: PyVISA
, VISA, instrument, Agilent, Keysight, Keithley, Git, GitLab, GitHub
04/08/2023 11:00-12:00 PSV Aula 1: Lesson 6 – Questions (mostly) answered.
Topics are subject to change. Online streaming is available as well via Teams, please check my email.
- Go to https://www.anaconda.com/download, download and install Anaconda for your OS.
- Go to https://code.visualstudio.com/, download and install Visual Studio Code.
- Launch Anaconda Prompt on your PC and type below:
conda update --all conda install matplotlib pandas seaborn