The following are the DHSC sensible defaults for Python:
Use Python 3 via Jupyter Notebooks or VSCode
loc
and iloc
to index into data framesRecommended Packages:
Note: This list is under development - If you have a package you would like to suggest / remove please submit an issue.
Python has many different options, all supported by different IDEs and tools:
Anaconda & Conda Projects - Getting started with Conda
Pycharm Projects - Pycharm Projects
Python - Packaging Projects
Virtual Environments venv
In Python, an error can be a syntax error or an exception. Exceptions will crash your program as they are encountered. Fortunately, Python has a method for dealing with exception errors: the try-except block.
The try-except block is used to catch and handle exceptions. Python executes code following the try statement as a “normal” part of the program. The code that follows the except statement is the program’s response to any exceptions in the preceding try clause. For example,
```{python eval=FALSE, python.reticulate = FALSE} try: print(0/0) except: print ("Cannot divide by O!" )
Cannot divide by O!
It is also possible to write programs that handle selected exceptions (and this is generally considered good practice): ```{python eval=FALSE, python.reticulate = FALSE} try: print(0/0) except ZeroDivisionError: print ("Cannot divide by O!" )
Cannot divide by O!
And to handle different types of errors: ```{python eval=FALSE, python.reticulate = FALSE} try: print(0/j) except ZeroDivisionError: print("Cannot divide by O!") except NameError: print("Something else went wrong")
Something else went wrong ```
For more information see python documentation on error handling.
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