Transcript Document
Introduction to Python
Didzis Gosko
Scripting language
From Wikipedia:
A scripting language or script language is a programming language
that supports scripts, programs written for a special run-time
environment that can interpret (rather than compile) and automate
the execution of tasks that could alternatively be executed one-by-one
by a human operator*.
...
The term "scripting language" is also used loosely to refer to dynamic
high-level general-purpose language, such as Perl, Tcl, and Python,
with the term "script" often used for small programs (up to a few
thousand lines of code) in such languages ...
* Python has interactive shell
Shell Scripting (bash etc.) vs Python
Shell Scripting (bash etc.):
Python:
+ Shell scripting has simpler notations for
I/O redirection.
+ It is simpler to create pipelines out of
existing programs in shell.
+ General purpose programming language
+ Easy (elegant) syntax
+ Complete toolset in a monolith package
+ Cross-platform
+ Powerful
+/- Ugly syntax of control flow statements
- Most of tasks (any data processing) are
delegated to external programs (awk, sed,
perl, python etc.)
- Extensive use of process forking
- Compatibility problems between
platforms
+/- Block indentation
- I/O redirection, creating pipelines etc.
not as easy as with Shell Scripting
- Not all systems have python installed
(it’s also true with bash)
Bash vs Python
#!/bin/bash
# comment line
echo "what a fine day: "
date
• Output, when called by
“./test.sh”:
what a fine day:
Thu Oct 28 23:37:39 EEST 2004
#!/usr/bin/env python3
# comment line
print("what a fine day:")
import os
os.system("date")
• Output, when called by
«./test.py»:
what a fine day:
Thu Oct 28 23:37:39 EEST 2004
Each task has it’s own tool
Shell Scripting:
• program execution, input/output capturing and chaining (with
pipes).
Python:
• file content/data processing (from perspective of shell
scripting)
• any other task...
• can be used as scripting language (unlike C/C++, Java etc.)
In general Python doesn’t compare with Shell Scripting.
Python is good for
• Concept checking
• Fast prototyping
• Any performance non-essential programming
task
• String processing
• A readable, dynamic, pleasant,
• flexible, fast and powerful language
Overview
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Background
Syntax
Types / Operators / Control Flow
Functions
Classes
Tools
What is Python
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Multi-purpose (Web, GUI, Scripting, etc.)
Object Oriented
Interpreted
Strongly typed and Dynamically typed
Focus on readability and productivity
Features
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Batteries Included
Everything is an Object
Interactive Shell
Strong Introspection
Cross Platform
CPython, Jython, IronPython, PyPy
Who Uses Python
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Google
NASA
Yahoo
Gentoo Linux
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Releases
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Created in 1989 by Guido Van Rossum
Python 1.0 released in 1994
Python 2.0 released in 2000
Python 3.0 released in 2008
Python 2.7 is the last version of Python 2
Python 3.4 is the latest version
Syntax
Hello World
hello_world.py
Indentation
• Most languages don’t care about
indentation
• Most humans do
• We tend to group similar things together
Indentation
The else here actually belongs to the 2nd if
statement
Indentation
The else here actually belongs to the 2nd if
statement
Indentation
Some do like this
Indentation
You should always be explicit
Indentation
Text
Python embraces indentation
Comments
Types
Strings
Numbers
Null
Lists
Lists
Dictionaries
Dictionary Methods
Booleans
Operators
Arithmetic
String Manipulation
Logical Comparison
Identity Comparison
Arithmetic Comparison
Control Flow
Conditionals
For Loop
Expanded For Loop
While Loop
List Comprehensions
• Useful for replacing simple for-loops.
Functions
Basic Function
Function Arguments
Arbitrary Arguments
Fibonacci
Fibonacci Generator
Classes
Class Declaration
Class Attributes
• Attributes assigned at class declaration
should always be immutable
Class Methods
Class Instantiation & Attribute Access
Class Inheritance
Python’s Way
• No interfaces
• No real private attributes/functions
• Private attributes start (but do not end) with
double underscores.
• Special class methods start and end with
double underscores.
– __init__, __doc__, __cmp__, __str__
Imports
• Allows code isolation and re-use
• Adds references to
variables/classes/functions/etc. into current
namespace
Imports
More Imports
Error Handling
Documentation
Docstrings
Tools
• IPython (http://ipython.org) – better interactive
shell and more
• Continuum Analytics Anaconda Python
distribution (http://www.continuum.io)
• CPython
• Jython
• IronPython
• PyPy
• Cython
SciPy
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NumPy
Matplotlib
Sympy
pandas
scikit-learn
IPython
Web Frameworks
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Django
Flask
Bottle.py
Twisted
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IDEs
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Emacs
Vim
Komodo
PyCharm
Eclipse (PyDev)
Package Management
Resources
• http://python.org/
• http://diveintopython.org/
Example
Going Further
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Decorators
Context Managers
Lambda functions
Generators
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Other Scripting options
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Ruby
Perl
JavaScript (Node.js)
TypeScript (compiles to JavaScript)
CoffeeScript (compiles to JavaScript)
PHP
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Glue languages
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Erlang
Unix Shell scripts (ksh, csh, bash, sh and others)
Windows PowerShell
ecl
DCL
Scheme
JCL
m4
VBScript
JScript and JavaScript
AppleScript
Python
Ruby
Lua
Tcl
Perl
PHP
Pure
Rexx
XSLT