Python Ecosystem – An Introduction · mirnazim.org. When developers shift from PHP, Ruby or any other platform to Python, the very first road block they face (most often) is a lack of an overall understanding of the Python ecosystem.
Developers often yearn for a tutorial or resource that explains how to accomplish most tasks in a more or less standard way. What follows is an extract from the internal wiki at my workplace, which documents the basics of the Python ecosystem for web application development for our interns, trainees and experienced developers who shift to Python from other platforms. (the eff-bot guide to) The Standard Python Library. (the eff-bot guide to) The Standard Python Library [home] [zone] Based in part on over 3,000 newsgroup articles written by Python veteran Fredrik Lundh since 1995, this book provides brief descriptions and sample scripts for all standard modules in the Python 2.0 library.
For more information on the book and the print editions, see (the eff-bot guide to) The Standard Python Library. The effbot.org edition (based on the 2001 O’Reilly edition) Keep This Python Cheat Sheet On Hand When Learning To Code. Python is one of the best programming languages to learn.
As you get started, this one-page reference sheet of variables, methods and formatting options could come in handy. Provided by Dave Child, the cheat sheet includes both built-in system and operating system variables, as well as standard methods for working with lists, files and strings. Python Iteration. Created 24 April 2012, last updated 19 March 2013 This is a presentation I gave at PyCon 2013.
You can read the slides and text on this page, or open the actual presentation in your browser (use right and left arrows to advance the slides), or watch the video: A talk for PyCon 2013. This talk is billed as Beginner, and sounds like a beginner topic, but I prefer to think of it as Fundamental. Plenty of expert Python programmers aren't making enough use of the tools I'm going to talk about. Python has a nice model of abstract iteration which can be used to increase the expressiveness of your programs. 30 Python Language Features and Tricks You May Not Know About. 1 Introduction Since I started learning Python, I decided to maintain an often visited list of "tricks".
Any time I saw a piece of code (in an example, on Stack Overflow, in open source software, etc.) that made me think "Cool! Scientific Computing Tools For Python — Numpy. SciPy - Scientific Analysis in Python. Python based scientific analysis cookbook James Battat Created: October 3, 2006 Last Modified: July 12, 2010 I find Python very user-friendly. Therefore I often reach for it when tasked to solve small or large scripting problems. I have been rather frustrated, though, with the level of support for scientific analysis packages. With scipy and matplotlib, of course, the tools are all there and success is just around the corner...
Linear regression with pylab. In order to compliment my linear regression in google docs post (and because I keep forgetting how to do it), here is a quick and dirty guide to linear regression using python and pylab.
First some notes. One, there is some good info on this online (how else do you think I find this stuff?). Here is a great link: SciPy Cookbook on linear regression. Second, remember that I do things the ‘hard way’ sometimes. On to the problem. How about a plot? Object-relational mapping. Object-relational mapping (ORM, O/RM, and O/R mapping tool) in computer science is a programming technique for converting data between incompatible type systems using object-oriented programming languages.
This creates, in effect, a "virtual object database" that can be used from within the programming language. There are both free and commercial packages available that perform object-relational mapping, although some programmers opt to construct their own ORM tools. Overview[edit] Implementation-specific details of storage drivers are generally wrapped in an API in the programming language in use, exposing methods to interact with the storage medium in a way which is simpler and more in line with the paradigms of surrounding code.
String sql = "SELECT ... In contrast, the following makes use of an ORM API, allowing the writing of code which naturally makes use of the features of the language. 26.2. pdb — The Python Debugger. Source code: Lib/pdb.py The module pdb defines an interactive source code debugger for Python programs.
It supports setting (conditional) breakpoints and single stepping at the source line level, inspection of stack frames, source code listing, and evaluation of arbitrary Python code in the context of any stack frame. It also supports post-mortem debugging and can be called under program control. The debugger is extensible — it is actually defined as the class Pdb. GEGeek - I don't reinvent the wheel, I just link to it.
DatabaseInterfaces. This page lists database interfaces available for Python.
It may also help in finding a suitable database engine for you to use in your Python database applications. The Python standard for database interfaces is the Python DB-API (PEP 249) Most Python database interfaces adhere to this standard. Most databases have ODBC support; see the section below on ODBC modules. Java databases usually support JDBC, and can be used from Jython. Programming: Languages: Python: Modules. TCP/IP Client and Server - Python Module of the Week. Sockets can be configured to act as a server and listen for incoming messages, or connect to other applications as a client.
After both ends of a TCP/IP socket are connected, communication is bi-directional. Echo Server This sample program, based on the one in the standard library documentation, receives incoming messages and echos them back to the sender. It starts by creating a TCP/IP socket. import socketimport sys # Create a TCP/IP socketsock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) Then bind() is used to associate the socket with the server address. . # Bind the socket to the portserver_address = ('localhost', 10000)print >>sys.stderr, 'starting up on %s port %s' % server_addresssock.bind(server_address) Calling listen() puts the socket into server mode, and accept() waits for an incoming connection. # Listen for incoming connectionssock.listen(1) while True: # Wait for a connection print >>sys.stderr, 'waiting for a connection' connection, client_address = sock.accept()
Matplotlib: python plotting — Matplotlib 1.4.3 documentation. Fondamenti di Programmazione. Python Turorials, Lectures & Videos. Deep Thoughts by Raymond Hettinger. If you aren’t wowed by Python’s super() builtin, chances are you don’t really know what it is capable of doing or how to use it effectively. Much has been written about super() and much of that writing has been a failure. This article seeks to improve on the situation by: providing practical use casesgiving a clear mental model of how it worksshowing the tradecraft for getting it to work every timeconcrete advice for building classes that use super()favoring real examples over abstract ABCD diamond diagrams. Il tutorial di Python. The Python Standard Library — Python 3.4.3 documentation.
While The Python Language Reference describes the exact syntax and semantics of the Python language, this library reference manual describes the standard library that is distributed with Python. It also describes some of the optional components that are commonly included in Python distributions. Python’s standard library is very extensive, offering a wide range of facilities as indicated by the long table of contents listed below. Eclipse IDE. Copyright © 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 vogella GmbH Eclipse Java IDE This tutorial describes the usage of Eclipse as a Java IDE. It describes the installation of Eclipse, the creation of Java programs and tips for using Eclipse. A guide to Python Namespaces. This post is part of the Powerful Python series where I talk about features of the Python language that make the programmer’s job easier. The Powerful Python page contains links to more articles as well as a list of future articles.
Namespaces are a fundamental idea in Python and can be very helpful in structuring and organizing your code (especially if you have a large enough project). However, namespaces might be a somewhat difficult concept to grasp and get used to if you’re new to programming or even coming from another programming language (in my case, Java). Here’s my attempt to make namespaces just a little easier to understand. Help - Eclipse Platform.
Getting Started. Python Development with PyDev and Eclipse. Python Development with PyDev and Eclipse - Tutorial Copyright © 2009, 2010, 2011, 2012, 2013 vogella GmbH. Overview — Python 3.4.3 documentation. The Python Standard Library. Program Arcade Games With Python And Pygame. Think Python.