Python Cost Model - 6.006 Wiki From 6.006 Wiki Python is a high-level programming language, with many powerful primitives. Analyzing the running time of a Python program requires an understanding of the cost of the various Python primitives. For example, in Python, you can write: where L, L1, and L2 are lists; the given statement computes L as the concatenation of the two input lists L1 and L2. Our goal in this section is to review various Python primitive operations, and to determine bounds and/or estimates on their running times. The Python implementation code base is here. Python Running Time Experiments and Discussion The running times for various-sized inputs were measured, and then a least-squares fit was used to find the coefficient for the high-order term in the running time. The least-squares fit was designed to minimize the sum of squares of relative error, using scipy.optimize.leastsq. The machine used was an IBM Thinkpad T43p with a 1.86GHz Pentium M processor and 1.5GB RAM. Cost of Python Integer Operations
Google's Python Class - Educational Materials Welcome to Google's Python Class -- this is a free class for people with a little bit of programming experience who want to learn Python. The class includes written materials, lecture videos, and lots of code exercises to practice Python coding. These materials are used within Google to introduce Python to people who have just a little programming experience. To get started, the Python sections are linked at the left -- Python Set Up to get Python installed on your machine, Python Introduction for an introduction to the language, and then Python Strings starts the coding material, leading to the first exercise. This material was created by Nick Parlante working in the engEDU group at Google. Tip: Check out the Python Google Code University Forum to ask and answer questions.
Building blocks 1.4.1.1. Shell syntax If input is not commented, the shell reads it and divides it into words and operators, employing quoting rules to define the meaning of each character of input. Then these words and operators are translated into commands and other constructs, which return an exit status available for inspection or processing. The above fork-and-exec scheme is only applied after the shell has analyzed input in the following way: The shell reads its input from a file, from a string or from the user's terminal.Input is broken up into words and operators, obeying the quoting rules, see Chapter 3. 1.4.1.2. A simple shell command such as touch file1 file2 file3 consists of the command itself followed by arguments, separated by spaces. More complex shell commands are composed of simple commands arranged together in a variety of ways: in a pipeline in which the output of one command becomes the input of a second, in a loop or conditional construct, or in some other grouping. ls | more
Google Python Style Guide No whitespace inside parentheses, brackets or braces. No whitespace before a comma, semicolon, or colon. Do use whitespace after a comma, semicolon, or colon except at the end of the line. Yes: if x == 4: print x, y x, y = y, x No: if x == 4 : print x , y x , y = y , x No whitespace before the open paren/bracket that starts an argument list, indexing or slicing. Yes: dict['key'] = list[index] No: dict ['key'] = list [index] Surround binary operators with a single space on either side for assignment (=), comparisons (==, <, >, ! Don't use spaces around the '=' sign when used to indicate a keyword argument or a default parameter value. Yes: def complex(real, imag=0.0): return magic(r=real, i=imag) No: def complex(real, imag = 0.0): return magic(r = real, i = imag) Don't use spaces to vertically align tokens on consecutive lines, since it becomes a maintenance burden (applies to :, #, =, etc
Python Weekly: A Free, Weekly Python E-mail Newsletter 1. The way of the program — How to Think Like a Computer Scientist: Learning with Python 3 The goal of this book is to teach you to think like a computer scientist. This way of thinking combines some of the best features of mathematics, engineering, and natural science. Like mathematicians, computer scientists use formal languages to denote ideas (specifically computations). The single most important skill for a computer scientist is problem solving. On one level, you will be learning to program, a useful skill by itself. 1.1. The programming language you will be learning is Python. As you might infer from the name high-level language, there are also low-level languages, sometimes referred to as machine languages or assembly languages. Almost all programs are written in high-level languages because of their advantages. The engine that translates and runs Python is called the Python Interpreter: There are two ways to use it: immediate mode and script mode. The >>> is called the Python prompt. For example, we created a file named firstprogram.py using PyScripter. 1.2. input bug
Python2web.com Online Python Tutor - Learn programming by visualizing code execution LINUX All in One HelpDesk Talks and Tutorials Here are links to selected talks and tutorials given at user-group meetings and conferences. Most of these talks can also be found on SlideShare. I also have a YouTube Channel where you can find videos. Most of these talks can also be found on pyvideo.org. Builtin Superheroes. Fear and Awaiting in Async: A Savage Journey to the Heart of the Coroutine Dream. Topics of Interest (Python Asyncio). Python Concurrency From the Ground Up: LIVE!. Modules and Packages: Live and Let Die! Generators: The Final Frontier [ video. ] Presented at PyCon 2014 in Montreal, April 10, 2014. Discovering Python. Learn Python Through Public Data Hacking [ video ]. Python 3 Metaprogramming [ video ]. Python: A Toy Language. Let's Talk About PyPy. Low Level RPython. Understanding RPython. Embracing the Global Interpreter Lock (GIL). In Search of the Perfect Global Interpreter Lock. Using Python 3 to Build a Cloud Computing Service for my Superboard II [PDF]. Mastering Python 3 I/O (rev 2).
Welcome to Python.org Terminally Incoherent | I will not fix your computer. Code Like a Pythonista: Idiomatic Python In this interactive tutorial, we'll cover many essential Python idioms and techniques in depth, adding immediately useful tools to your belt. There are 3 versions of this presentation: ©2006-2008, licensed under a Creative Commons Attribution/Share-Alike (BY-SA) license. My credentials: I am a resident of Montreal,father of two great kids, husband of one special woman,a full-time Python programmer,author of the Docutils project and reStructuredText,an editor of the Python Enhancement Proposals (or PEPs),an organizer of PyCon 2007, and chair of PyCon 2008,a member of the Python Software Foundation,a Director of the Foundation for the past year, and its Secretary. In the tutorial I presented at PyCon 2006 (called Text & Data Processing), I was surprised at the reaction to some techniques I used that I had thought were common knowledge. Many of you will have seen some of these techniques and idioms before. These are the guiding principles of Python, but are open to interpretation. import this