Language Processing and Python It is easy to get our hands on millions of words of text. What can we do with it, assuming we can write some simple programs?
Code Complete by Steve McConnell is another. A good sense of design and implementation can be learned, but you still have to use it. Probably the single biggest driver of open source code quality is knowing that other hackers will be looking at and using your code.
Write code for other humans to read: Invest the effort to write good code. Did I mention it will save you time and grief in the long run? Writing good code is an art. Aesthetics are subjective, but in Python, there is a generally accepted standard for formatting your code: There is a tool, pep8for checking your code against it.
Writing good code is a science. There are semi- objective means of measuring code quality. First, your code should work, which we can verify with unit testing. Second, your code should look and smell good, which we can check with Pylint.
One- and two-character variable names are generally too short to be meaningful. Indent with 4 spaces. Put whitespace around operators and after commas. Give everything a docstring. Use is to compare with None, True, and False. Make your own exceptions subclass Exception.
Limit try clauses to the bare minimum amount of code; catch the most specific exception possible i.
Last but very first: Look at and learn about the warnings Pylint produces. Know when to ignore them; it can produce false positives. Try for a Pylint score of at least 8. Personally, I try to fix or shush all messages except those about long line length in code I do keep docstrings trimmed for people using the interactive help.
You can prepare your code for the future by running your unit tests under Python 2. If you really want to make sure your code works in Python 3, use the 2to3 tool to translate your code to Python 3, then install Python 3 keep your Python 2!
Quality code is the most important part of an open source project. Once your package is set up, this is where you should spend most of your time. A great way is to try it automatically, every time it changes.
In this context, unit means module, class, or function; we test each unit of functionality separately, so we have more confidence everything will work when we put it all together. You can literally run your code in an interactive session, check if its working, and then paste the session into a docstring: Writing examples is an important part of good documentation anyway, and with doctest it takes almost no extra effort to turn those docs into tests.
Here is the same test using unittest: All of the tests for module modulename go in this file, and this file tests all of the functionality in modulename.Acknowledgements. The contributions to early versions of this manual by Saikat DebRoy (who wrote the first draft of a guide to r-bridal.com r-bridal.comal) and Adrian Trapletti (who provided information on the C++ interface) are gratefully acknowledged.
This is a fantastic book, even for a relative beginner to machine learning such as myself. The first thing that comes to mind after reading this book is that it was the perfect blend (for me at least) of theory and practice, as well as breadth and depth. Most systems use Java Script Object Notation (JSON) to log event information.
Although it’s efficient and flexible, deriving information from JSON is difficult.
In this post, you will use the tightly coupled integration of Amazon Kinesis Firehose for log delivery, Amazon S3 for log storage, and Amazon Athena with JSONSerDe to run SQL queries against these logs without [ ].
Twitter is a popular social network where users can share short SMS-like messages called tweets. Users share thoughts, links and pictures on Twitter, journalists comment on live events, companies promote products and engage with customers.
The list of different ways to use Twitter could be really long, and with millions of tweets per day,. Written by Python Experts who have developed complex applications with IronPython, this excellent book covers IronPython 2 and provides several code examples illustrating how faithful IronPython 2 is to Python and r-bridal.com and Python concepts map to each other.
Getting Started with Python. One of the friendly things about Python is that it allows you to type directly into the interactive interpreter — the program that will be running your Python programs.
You can access the Python interpreter using a simple graphical interface called the Interactive DeveLopment Environment (IDLE).