Free Stock Photos – Share & Enjoy

Free stock photos are easy to find nowadays. Just Google the words and you’ll find enough suggestions. Maybe browse some services to find on that fits your need best.

Some ‘free’-stock photo services also have payed options where you can get even better photos than the ones that are free to use.

Be sure to read some of the legal stuff before you use or buy any photo. There are a lot of different nuances in free images and the allowed use of them.

Photographs you pay for can also have different limitations. Cheap photos often don’t give you the exclusive right to their use. Don’t be surprised when a popular image shows up on many other websites and blogs.

Why use free stock photos or any other images?

Of-course ‘A picture is worth a thousand words’. Makes an article look nice and provides reader with extra information. Besides that, images also help your articles ranking higher in Google search results.

At A4-News we use images for websites and newsletters. We make use of free and paid images. In relation to our publications it’s never an issue if some images are widely used. As long it fits the story (more or less). Continue reading “Free Stock Photos – Share & Enjoy”

Google News sorted by date

Google News covers news articles appearing within the past 30 days on various news websites, in different countries and languages.

Google news
In total, Google News aggregates content from more than 25,000 publishers. Google News provides searching, and the choice of sorting the results by date and time of publishing or grouping them.

The actual list of sources is not known outside of Google. The stated information from Google is that it watches more than 4,500 English-language news sites. Continue reading “Google News sorted by date”

Python Typo’s

In a project to categorize a list of news websites last week we wrote a Python script, based on a script from the great book Programming Collective Intelligence.

Python and Collective Intelligence
We started with an example taken from the book; generatefeedvector.py as printed in chapter 3.

Although the explanation given in the book was of great help and we ended up with our own working script, the sample code gave us a hard time at the start. Due to at least one typo in the code, we just could not get the code to run.

It was like the original code could not process the list with URL’s stored in a txt file.

Fortunately we were not the first who ran into this problem. With some help of the department of computer science at the the Old Dominion University we started with a working script as a base for our own classifier.

A working version of generatefeedvector.py can be found at: http://www.cs.odu.edu/~hany/teaching/cs495-f12/lectures/lecture_4/code/generatefeedvector.python

Just in case, the code for a working generatefeevector.py is given below as well. Don’t forget you need  some extra modules for Python installed and a textfile with URL’s to get this working. Continue reading “Python Typo’s”