Design Patterns | Object Oriented Design Dive Into Python PythonBooks - Learn Python the easy way ! Online Code Repository The goal is to have working code for all the algorithms in the book in a variety of languages. So far, we have Java, Lisp and Python versions of most of the algorithms. There is also some old code in C++, C# and Prolog, but these are not being maintained. We also have a directory full of data files. Supported Implementations We offer the following three language choices, plus a selection of data that works with all the implementations: Java: aima-java project, by Ravi Mohan. Unsupported Implementations Implementation Choices What languages are instructors recommending? Of course, neither recall nor precision is perfect for these queries, nor is the estimated number of results guaranteed to be accurate, but they offer a rough estimate of popularity.
Twitter sentiment analysis using Python and NLTK | Laurent Luce's Blog This post describes the implementation of sentiment analysis of tweets using Python and the natural language toolkit NLTK. The post also describes the internals of NLTK related to this implementation. Background The purpose of the implementation is to be able to automatically classify a tweet as a positive or negative tweet sentiment wise. The classifier needs to be trained and to do that, we need a list of manually classified tweets. Let’s start with 5 positive tweets and 5 negative tweets. Positive tweets: I love this car.This view is amazing.I feel great this morning.I am so excited about the concert.He is my best friend. Negative tweets: I do not like this car.This view is horrible.I feel tired this morning.I am not looking forward to the concert.He is my enemy. In the full implementation, I use about 600 positive tweets and 600 negative tweets to train the classifier. Next is a test set so we can assess the exactitude of the trained classifier. Test tweets: Implementation Classifier Classify
Design Patterns In software engineering, a design pattern is a general repeatable solution to a commonly occurring problem in software design. A design pattern isn't a finished design that can be transformed directly into code. It is a description or template for how to solve a problem that can be used in many different situations. Uses of Design Patterns Design patterns can speed up the development process by providing tested, proven development paradigms. Effective software design requires considering issues that may not become visible until later in the implementation. Often, people only understand how to apply certain software design techniques to certain problems. In addition, patterns allow developers to communicate using well-known, well understood names for software interactions. Creational design patterns These design patterns are all about class instantiation. Structural design patterns These design patterns are all about Class and Object composition. Behavioral design patterns Criticism
Learn Python - Free Interactive Python Tutorial CIS192 - Python Programming Welcome! This is a half-credit mini course on Python programming. Why learn Python? The short answer is: >>> print("Hello World") The longer answer is that Python is a powerful and popular programming language, useful for building large systems as well as writing small scripts. There will be weekly homeworks and a final project. Homework for this class will typically take the form of weekly coding assignments, typically designed to be completed in the range of 1-5 hours of effort. Working on Homeworks - Policy This course will be taught with a minimum Python version of 3.4.