Using IPython as a shell

Data analysts, data scientists, and engineers are used to experimenting. IPython was created by scientists with experimentation in mind. The interactive environment that IPython provides is comparable to an interactive computing environment provided by Matlab, Mathematica, and Maple.

The following is a list of features of the IPython shell:

Tab completion, which helps you find a command
History mechanism
Inline editing
Ability to call external Python scripts with %run
Access to system commands
Access to the Python debugger and profiler

The following list describes how to use the IPython shell:

Starting a session: To start a session with IPython,enter the following instruction on the command line:

$ ipython3
Python 3.5.2 (default, Sep 28 2016, 18:08:09) 
Type "copyright", "credits" or "license" for more information.
        IPython 5.1.0 -- An enhanced Interactive Python.
?         -> Introduction and overview of IPython's features.
%quickref -> Quick reference.
help      -> Python's own help system.
object?   -> Details about 'object', use 'object??' for extra 
                     details.
In [1]: quit()

Tip

The quit() function or Ctrl + D quits the IPython shell.

Saving a session: We might want to be able to go back to our experiments. In IPython, it is easy to save a session for later use with the following command:

In [1]: %logstart
Activating auto-logging. Current session state plus future 
         input saved:
         Filename : ipython_log.py
         Mode : rotate
         Output logging : False
         Raw input log : False
         Timestamping : False
State : active

Logging can be switched off as follows:

In [9]: %logoff
Switching logging OFF

Executing a system shell command: Execute a system shell command in the default IPython profile by prefixing the command with the ! symbol. For instance, the following input will get the current date:
```
In [1]: !date
```
In fact, any line prefixed with ! is sent to the system shell. We can also store the command output, as shown here:
```
In [2]: thedate = !date
In [3]: thedate
```
Displaying history: We can show the history of our commands with the %hist command. For example:
```
In [1]: a = 2 + 2
In [2]: a
Out[2]: 4
In [3]: %hist
a = 2 + 2
a
%hist
```
This is a common feature in command line interface (CLI) environments. We can also search through the history with the -g switch as follows:
```
In [5]: %hist -g a = 2
      1: a = 2 + 2
```

We saw a number of so-called magic functions in action. These functions start with the % character. If the magic function is used on a line by itself, the % prefix is optional.

Python Data Analysis, Second Edition

By : Idris

Python Data Analysis, Second Edition

By: Idris

Overview of this book

Using IPython as a shell

Tip

Python Data Analysis, Second Edition

By : Idris

Python Data Analysis, Second Edition

By: Idris

Overview of this book

Using IPython as a shell

Tip

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