PY4E - Python for Everybody. Exploring Data In Python 3 New Edition!
The goal of this book is to provide an Informatics-oriented introduction to programming. The primary difference between a computer science approach and the Informatics approach taken in this book is a greater focus on using Python to solve data analysis problems common in the world of Informatics. The Python 2 version of the book is still available. There are multiple translations of the Python 2 book - the Python 3 version of the book has not been translated. Learning to Program with Python. DojoPuzzles.com - Início.
Intro to Python for Data Science. The Original Magazine of the Linux Community. KDnuggets™ News 15:n36, Nov 4: Integrating R, Python; Neural Net in 11 lines; Top 20 AI/Machine Learning books. Transcripts Episode #32 PyPy.js - PyPy Python in Your Browser - [Talk Python To Me Podcast] Imagine a future where you are building that rich, client-side web app.
You start by creating some backend services in Flask or Node, an HTML page, throw in a few divs and uls, and then you type <script src="main.py" language="Python">. That future might just be possible, for the right types of applications, with Ryan Kelly's pypy.js project. 2 septembre 2015 : Séminaire « MicroPython, recherche et transfert autour de python pour les microcontrôleurs » « MIn2RIEN.
[Python] Massive Python Example Script - General Programming. CHIP - The World's First Nine Dollar Computer by Next Thing Co. Raspberry Pi tem corte no pre�o para competir com concorrente de 9 d�lares. A Raspberry Pi Foundation anunciou nesta quinta-feira (14) um corte no preço do modelo B+ de sua linha de pequenos computadores.
Antes vendido por 35 dólares (105 reais), o aparelho sairá agora por 25 dólares (mais ou menos 75 reais) – o que o coloca em pé de igualdade com o “concorrente” CHIP, que apareceu no Kickstarter na última semana e já bateu a meta. O B+ é o segundo mais avançado entre os Raspberry Pis, mas era vendido pelo mesmo valor de um modelo de segunda geração, mesmo com configurações bem mais modestas. Nbviewer.ipython. PyCX: a Python-based simulation code repository for complex systems education. Through several years of experience in complex systems education, we have come to realize that using a simple general-purpose computer programming language itself as a complex systems modeling platform is our current best solution to address most, if not all, of the educational challenges discussed above.
By definition, general-purpose computer programming languages are universal and can offer unlimited opportunity of modeling with all the details clearly spelled out in front of the user’s eyes. Identifying a programming language that would be easily accessible and useful in a wide variety of disciplines had been difficult even a decade ago.a Fortunately, several easy-to-use programming languages have recently emerged and become very popular in various scientific and industrial communities, including Python and R. The core philosophy of PyCX is therefore placed on the simplicity, readability, generalizability and pedagogical values of simulation codes.
RD.seed() time = 0 time += 1. 2014 SouthEast LinuxFest - Francois Dion - Brython: Not Celtic, Pythonic! Think Python. 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. Is it hashable? Fun and games with hashing in Python - Lerner Consulting Blog. One of the basic data types that Python developers learn to use, and to appreciate, is the dictionary, or “dict.”
This is the Python term for what other languages call hashes, associative arrays, hashmaps, or hash tables. Dictionaries are pervasive in Python, both in the programs that we write, and in the implementation of the language; behind every namespace or object, at least one dictionary is behind the scenes. Dictionaries are fairly easy to use, once you get used to the rules of the road: A dictionary contains pairs, not individual elements. The Hitchhiker’s Guide to Python! — The Hitchhiker's Guide to Python. Python Education Summit Schedule. 438 pages, May 2010 56 reviews,
Introduction to Python Web Frameworks. So, you’ve learned Python, perhaps using one of the resources you found in our MegaGuide.
You’ve built some projects that run on your computer, and now you’re ready to share them with the world online. What’s the next step? If you want to turn your Python project into a web application or a dynamic website, and host it on the Internet for anyone to access, you’re going to need to use a web framework. You can build your own framework, but as Guido van Rossum, creator of Python, says: “a framework written to serve the needs of a single target application wouldn’t necessarily be better than some of the web frameworks that already exist.” A web framework, also known as a web application framework, is the glue that bonds your project to the server that’s hosting it. Learning a framework can be intimidating, especially for beginners, as the guides and documentation associated with any given framework can be difficult to understand.
Django Website Official Documentation Official Tutorial. Probably Overthinking It: Regression with Python, pandas and StatsModels. I was at Boston Data-Con 2014 this morning, which was a great event.
The organizer, John Verostek, seems to have created this three-day event single-handedly, so I am hugely impressed. Imran Malek started the day with a very nice iPython tutorial. The description is here, and his slides are here. He grabbed passenger data from the MBTA and generated heat maps showing the number of passengers at each stop in the system during each hour.
The tutorial covered a good range of features, and it seemed like many of the participants were able to download the data and follow along in iPython. Learn Python. The History of Python. The Python I Would Like To See. This post is surprisingly confused, it is phrased as a complaint about the language, then immediately degrades into CPython implementation specifics that have little bearing on the usability of the language itself.
Ronacher should also know better than to post microbenchmarks like the one provided here, especially without corresponding (C) profiler output. At the C level, slots allow the implementation constant-time access to the most common code paths for an object, and especially when you have C code calling other C code via the type system (IMHO the primary use for Python, and still its strongest use case), "interpreter overhead" is reduced to a few extra memory indirection operations. In the alternative world, sure, perhaps some microbenchmark may behave faster, but now systemically, and for e.g.
"reduce(operator.add, range(1000))" requires more hash table lookups than I can count. The Python I Would Like To See. Written on Saturday, August 16, 2014 It's no secret that I'm not a fan of Python 3 or where the language is currently going. This has led to a bunch of emails flying my way over the last few months about questions about what exactly I would prefer Python would do. So I figured I might share some of my thoughts publicly to maybe leave some food for thought for future language designers :) Full Stack Python. Minecraft: Pi Edition- How to Use Python @Raspberry_pi #piday #raspberrypi. Numerical Methods With Python MOOC Starts Today.
An interesting sounding MOOC that will help students implement numerical solution methods in well-designed Python programs starts on August 18. The course was announced at last months SciPy (Scientific Python) conference where Professor Lorena A Barba, who will be one of four instructors for the MOOC, MAE6286: Practical Numerical Methods with Python, delivered using Open edX software. The MOOC is taking place in conjunction with four on-campus credit bearing classes for first-year graduate students at. Explore Python: Safari. Programaê. How to learn Python Programming (Python 3.4 & Python 2.7) Interactive Python on Any Page. We are excited to announce the release of a new tool that lets anyone embed Interactive Python on their own blog or web site. This technology has been available in Trinket from the beginning and starting today you can use it for free and without signing in.
We’ve seen over and over how the interactivity of this tool increases engagement with students and we hope you’ll try it out in your own teaching. Take a look at the example below to see it in action. Click Result to watch it run.