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The Python Apprentice

The Python Apprentice

By : Robert Smallshire, Austin Bingham
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The Python Apprentice

The Python Apprentice

4 (5)
By: Robert Smallshire, Austin Bingham

Overview of this book

Experienced programmers want to know how to enhance their craft and we want to help them start as apprentices with Python. We know that before mastering Python you need to learn the culture and the tools to become a productive member of any Python project. Our goal with this book is to give you a practical and thorough introduction to Python programming, providing you with the insight and technical craftsmanship you need to be a productive member of any Python project. Python is a big language, and it’s not our intention with this book to cover everything there is to know. We just want to make sure that you, as the developer, know the tools, basic idioms and of course the ins and outs of the language, the standard library and other modules to be able to jump into most projects.
Table of Contents (16 chapters)
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12
Afterword – Just the Beginning

Starting Python command line REPL

Now that Python is installed and running, you can immediately start using it. This is a good way to get to know the language, as well as a useful tool for experimentation and quick testing during normal development.

This Python command line environment is a Read-Eval-Print-Loop. Python will READ whatever input we type in, EVALuate it, PRINT the result and then LOOP back to the beginning. You'll often hear it referred to simply as the "REPL".

When started, the REPL will print some information about the version of Python you're running, and then it will give you a triple-arrow prompt. This prompt tells you that Python is waiting for you to type something.

Within an interactive Python session you can enter fragments of Python programs and see instant results. Let's start with some simple arithmetic:

>>> 2 + 2
4
>>> 6 * 7
42

As you can see, Python reads our input, evaluates it, prints the result, and loops around to do the same again.

We can assign to variables in the REPL:

>>> x = 5

Print their contents simply by typing their name:

>>> x
5

 Refer to them in expressions:

>>> 3 * x
15

Within the REPL you can use the special underscore variable to refer to the most recently printed value, this being one of very few obscure shortcuts in Python:

>>> _
15

Or you can use the special underscore variable in an expression:

>>> _ * 2
30
Remember that this useful trick only works at the REPL; the underscore doesn't have any special behavior in Python scripts or programs.

Notice that not all statements have a return value. When we assigned 5 to x there was no return value, only the side-effect of bringing the variable x into being. Other statements have more visible side-effects.

Try the following command:

>>> print('Hello, Python')
Hello, Python

You’ll see that Python immediately evaluates and executes this command, printing the string Hello, Python and returning you to another prompt. It's important to understand that the response here is not the result of the expression evaluated and displayed by the REPL, but is a side-effect of the print() function.

As an aside, print is one of the biggest differences between Python 2 and Python 3. In Python 3, the parentheses are required, whereas is Python 2 they were not. This is because in Python 3, print() is a function call. More on functions later.

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