Programma Magics 13 Skachat BEST
This is a homescreen RPG ported from the older monochrome version of the same name. Travel the lands, defeat bosses to reclaim powerful orbs to help you defeat the enemy. Command magics as you gain strength to land powerful attacks, or use your powers to heal yourself and keep swinging the sword! Update: Repaired bug involved with on screen events.
programma magics 13 skachat
Magics are handy commands built into the IPython kernel that make it easier to perform particular tasks. Although they often resemble unix commands, under the hood they are all implemented in Python. There exist far more magics than it would make sense to cover here, but it's worth highlighting a variety of examples. We will start with a few basics before moving on to more interesting cases.
There are two categories of magic: line magics and cell magics. Respectively, they act on a single line or can be spread across multiple lines or entire cells. To see the available magics, you can do the following:
As you can see, there are loads! Most are listed in the official documentation, which is intended as a reference but can be somewhat obtuse in places. Line magics start with a percent character %, and cell magics start with two, %%.
It's worth noting that ! is really just a fancy magic syntax for shell commands, and as you may have noticed IPython provides magics in place of those shell commands that alter the state of the shell and are thus lost by !. Examples include %cd, %alias and %env.
As an aside, also note how the traceback above demonstrates how magics are translated directly into Python commands, where %pdb became get_ipython().run_line_magic('pdb', ''). Executing this instead is identical to executing %pdb.
Sometimes in research, it is important to provide runtime comparisons for competing approaches. IPython provides the two timing magics %time and %timeit, which each has both line and cell modes. The former simply times either the execution of a single statement or cell, depending on whether it is used in line or cell mode.
We use the %macro and %store magics to set up a macro that's reusable across all our notebooks. It's common to begin macro names with a double underscore to distinguish them from other variables, like so:
The second way that you can run SAS code is by using special Jupyter "magics" supported by the sas_kernel. These magic commands look almost just like SAS macro calls (imagine that!). From within a Python language notebook, you can inject your SAS program code and pull in SAS results. This allows you to move easily between Python and SAS in a single environment. Here's a simple example: 041b061a72