Setup Programming Environments
Contents
Setup Programming Environments¶
In this lecture, we will learn
to install Python on the machine.
Introduction¶
I strongly recommend to choose Anaconda,
a Python distribution aiming to simplify using for researchers
who have no experience in programming. Jupyter, a web-based editor
to write, modify and run Python code, is also contained in Anaconda.
Tip
(Optional) For those who prefer to write code in a desktop editor, Visual Studio Code would be a good choice. Another better choice is PyCharm, which provides a complete toolchain for engineering purpose.
Install Anaconda¶
Step 1. Download Anaconda installer.
Fig. 6 Go to Anaconda download page and click the Download button to start downloading.¶
Step 2. Double click the installer to lanuch.
Step 3. Read the licensing terms and click I Agree.
Step 4. Select an install for Just Me.
Step 5. Select a destination folder to install Anaconda and click the Next button.
Fig. 7 Select the location on your machine to install.¶
Warning
Make sure the location does NOT contain any non-ASCII characters or spaces.
Step 6: Click Install.
Step 7: Click Next.
Step 8: We do not install PyCharm now, so click Next.
Step 9: Uncheck the two boxes and click Finish to close the installer.
Fig. 8 Congrats! You have successfully installed Anaconda.¶
Important
Some issues may occur during the installation.
No Administrator privilege granted (reported by Enyu). If this happen, please try again by right click installer and choose Run as Administrator in the menu.
Installtion path contains Chinese characters (reported by Haozhu). If this happen, choose another location. If you meet other issues, please contact me.
Launch Jupyter notebook¶
After the installation, you can find Jupyter in you start menu by
searching for keyword jupyter, shown as below
Fig. 9 Click the item to launch a Jupyter notebook.¶
Then, a new shell window will pop up and Jupyter will launch your defautl browser and open your home directory.
Click the New button and choose Python 3 (ipykernel),
Then, a new Jupter notebook will be created.
Fig. 10 Congrats! You have created a Jupyter notebook.¶
Useful links¶
https://www.w3schools.com/python/default.asp Baisc Python tutorial
https://www.runoob.com/python/python-tutorial.html Python tutorial (only in Chinese)
https://www.rdkit.org/ Python package for Cheminformatics
https://biopython.org/ Python Package for Computational Molecular Biology