Who is we?
MTech is a club of Chinese students from the University of Michigan Institute of Engineering (AE/ME) that specializes in sharing and exchanging expertise and skills. We create this club to promote the technical level of communication between engineering students in China and to build bridges to promote knowledge sharing and dissemination. Please follow our public number ("Big MTech") and our website (mtechmae.webstarts.com) For more information about us.
What is Python?
Python is an object-oriented, literal translation programming language. Its syntax is simple, and contains a fully functional library, suitable for solving many high-order tasks.
Why do we use Python?
Python is an open-source, high-level programming language. It is not only capable of accomplishing the same tasks as other high-level languages (such as Matlab), but is also suitable for more complex tasks due to the well-equipped libraries shared by Python users around the world. Today, Python is becoming the most widely used development language in areas such as machine learning,high-performance computing.
What is could learn in this workshop?
The basic composition of Python
How to use IPython Notebook
Common techniques in Python, function definitions, file read and write
Use the NumPy to pay attention to the place
Basic usage of drawing package matplotlib
How to implement the debug of Python, profiling
Examples of optimization of Python applications in aeronautics
How should I prepare?
We hope to help you understand some of the core knowledge about Python through this workshop, and to get an initial grasp of the basic capabilities of using Python. We hope that through this workshop training, students should be able to use Python to complete a few simple but complete scientific computing tasks.
I hope you will complete the installation of Python on your PC before workshop starts. Please join Workshop's students to bring their own computer with Python and the necessary package to attend the training. Installation instructions for Linux systems and mac/windows systems are described below. Thank you for your cooperation!
Rsvp!
If you are interested in participating in this workshop, please click on the link below (or click "Read Original" in the bottom left corner of the article) to register.
Https://docs.google.com/forms/d/e/1FAIpQLSdfTFdpwqCH7x-wA0c1IMrOgXLmA-Rx_GWaM8yQ8IpSC5QaHA/viewform?usp=send_form
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Workshop code and the address of the notebook :
Use git clone to download the corresponding git repo
Https://github.com/UmichTech/Python101
Https://github.com/UmichTech/Python-Workshop
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Software Installation Instructions
Written by: Li Xingyu, Chen Shiyang
The procedures and libraries that will be involved in this workshop
Python 2.7
IPython Notebook
Matplotlib
NumPy
For Linux
The latest version of Centos,fedora,redhat Enterprise Edition and Ubuntu comes with Python 2.7,
You can view the current Python version by using the instructions $ python--version
Ubuntu Users:
Install first
1. Install the Python pip, enter the command in the terminal
sudo apt-get install Python-pip
2. Install Ipython Notebook, enter instructions
Pip Install Ipython
3. After successful installation, enter Ipython notebook to run Ipython notebook
Non-Ubuntu users:
Check this page https://packaging.python.org/install_requirements_linux/
Add Python's package with Pip
sudo pip install PackageName,
For example:
Matrix operations
sudo pip install NumPy
optimization, numerical integration, interpolation, FFT and other scientific calculations
sudo pip install scipy
Image post-processing
sudo pip install matplotlib
For Mac/windows
It is recommended to install Anaconda directly, remember to choose Python 2.7 version, then install directly, the default configuration is already included Python and the required libraries.
Installation Address: HTTPS://WWW.CONTINUUM.IO/DOWNLOADS#OSX
After the installation is successful, it will show this interface, select the Jupyter icon to enter the Ipython notebook,
Or, after the installation is complete, in the Run window, enter CMD to open the command line, enter Ipython notebook If you also want to learn, please Dabigatran: 595266089
Getting started with the big Python 0 basics for all ages