Hello dear readers and attendees,

This is the post that I will be/ will have been referencing during my presentation to the Seattle Central Community College’s Byte club on Thursday, December 10th at 1500-1630.

I will begin with a bit of an autobio and find out what kind of students we have in attendance. Please feel free to comment if you’d like to keep in touch before or after the presentation. I will discuss some of the bits and pieces of some industry standard platforms which I’ve developed, deployed, maintained, managed, co-operated, administered and replaced. We can discuss some of the patterns that work well in the industry, and some that are a bit harder to tame.

Once we have touched most of the areas of specialization represented at the meeting, I will dive in to an AngularJS demo I am developing in github here:

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Adding good content to Twitter can be a pain. I can’t do it during working hours, and I don’t have much time at night. But, the more content you have, the more followers you can gain, and the more your original tweets can be seen (hopefully). I have written several posts about using the latest Perl-Twitter API – Net::Twitter::Lite::WithAPIv1_1, so you might want to check these out as well.

– Use MySQL and Perl to automatically find, follow and unfollow twitter users

– Using Perl to retrieve direct messages from Twitter, insert messages into a MySQL database and then …

A friend of mine asked me how they could automatically follow and unfollow people on Twitter. But they didn’t want to follow just anyone and everyone. He had a Twitter account which they used for recruiting in a very narrow construction industry. He wanted to find people in the same industry and follow them – hoping they would follow him back and learn about his open jobs. When I joined Twitter back in 2008, I wrote a similar program to automatically follow/unfollow users, but the Twitter API has changed quite a bit since then. So I decided to re-write the program with the latest Perl-Twitter API – Net::Twitter::Lite::WithAPIv1_1.

Before you attempt to use these scripts, you will need to register your application with twitter via apps.twitter.com, and obtain the following:

consumer_key
consumer_secret
access_token …

In two earlier posts, I gave some examples on how to use Perl to send tweets stored in a MySQL database to Twitter, and then how to automatically reply to your retweets with a “thanks”. In this post, I will show you how to automatically download your direct messages from Twitter, store the messages in a MySQL database, and then delete them.…

In two earlier posts, I gave some examples on how to use Perl to send tweets stored in a MySQL database to Twitter, and then how to automatically reply to your retweets with a “thanks”. In this post, I will show you how to automatically download your direct messages from Twitter, store the messages in a MySQL database, and then delete them.

I don’t like the way Twitter makes me read my direct messages. Granted, the majority of them are not real messages. The message is usually thanking me for following the sender, and then there is a personal website link or a link to a product they are selling. But if I want to delete a direct message, I have to …

The MySQL Enterprise Audit plug-in is part of the MySQL Enterprise Edition (available through a paid license). Basically, Enterprise Audit tracks everything that is happening on your MySQL server, and can be used to protect/detect the misuse of information, and to meet popular compliance regulations including HIPAA, Sarbanes-Oxley, and the PCI Data Security Standard.

MySQL Enterprise Audit uses the open MySQL Audit API to enable standard, policy-based monitoring and logging of connection and query activity executed on specific MySQL servers. Designed to meet the …

In an earlier post titled Using Perl to send tweets stored in a MySQL database to twitter, I showed you a way to use MySQL to store tweets, and then use Perl to automatically send your tweets to twitter.

In this post, we will look at automatically sending a “thank you” to people who retweet your tweets – and we will be using Perl and MySQL again.

Just like in the first post, you will need to register your application with twitter via apps.twitter.com, and obtain the following:

consumer_key
consumer_secret
access_token
access_token_secret

One caveat: twitter has a rate limit on how often you may connect with your application – depending upon what you are trying to do. See …

Configuring Perl to work with MySQL is the last part creating a complete Fedora Linux LAMP stack for my students. Perl is already installed on Fedora Linux.

I’ve also shown how to use PHP, Python, and Ruby languages to query a MySQL database on Linux. After installing this additional Perl DBI library, my students will have the opportunity to choose how they implement their LAMP solution.

You can find the Perl version with the following version.pl program:

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#!/usr/bin/perl -w
 
# Print the version.
print "Perl ".$]."\n";

Twitter is not my favorite social media site. Using twitter is like driving downtown, screaming what you want to say out the window, and hoping someone hears you. There might be tens of thousands of people downtown, but your message will only be heard by a few. Your best bet is to repeat your message as often as possible.

However, twitter is free and if you want to reach as many people (theoretically) as possible, you might as well use it. But sending tweets on a scheduled basis can be a pain. There are client programs available which allow you to schedule your tweets (Hootsuite is one I have used in the past). You can load your tweets in the morning, and have the application tweet for you all day long. But you still have to load the application with your tweets – one by one.

A friend of mine asked me if there was a way to send the same 200 tweets over and over again, spaced out every 20 minutes or so. He has a consulting …

First of all, Happy New Year!

IEEE Spectrum published a ranking of the most popular programming languages. Computational journalist Nick Diakopoulos wrote the article. While it may surprise some, I wasn’t surprised to find SQL in the top ten.

Nick weighted and combined 12 metrics from 10 sources (including IEEE Xplore, Google, and GitHub) to rank the most popular programming languages.

• Compiled programming languages (Java [#1], C [#2], C++ [#3], C# [#4], Objective-C [#16])
• Interpreted programming languages (Python [#5], JavaScript [#6], PHP [#7], Ruby [#8], Perl [#11], HTML [#12])
• Data languages (SQL [#9], MATLAB …