Today's Question:  What does your personal desk look like?        GIVE A SHOUT

SEARCH KEYWORD -- Compressed index



  Python Performance Tips, Part 1

To read the Zen of Python, type import this in your Python interpreter. A sharp reader new to Python will notice the word “interpreter”, and realize that Python is another scripting language. “It must be slow!” No question about it: Python program does not run as fast or efficiently as compiled languages. Even Python advocates will tell you performance is the area that Python is not good for. However, YouTube has proven Python is capable of serving 40 million videos...

   Python,Performance,Efficiency,Tips     2012-02-14 10:50:22

  Python: copying a list the right way

new = old[:] Those proficient in Python know what the previous line do. It copies the list old into new. This is confusing for beginners and should be avoided. Sadly the [:] notation is widely used, probably because most Python programmers don’t know a better way of copying lists.A little bit of pythonic theoryFirst we need to understand how Python manages objects & variables. Python doesn’t have variables like C. In C a variable is not just a name, it ...

   Python,List,Copy,Reference,[:],list()     2011-11-07 08:04:48

  ConcurrentHashMap vs Collections.synchronizedMap()

ConcurrentHashMap and Collections.synchronizedMap() both provide thread-safe operations of collections of data. They are used in multithreaded programs to provide both thread safety and performance improvements. In many cases, we can use either of them. But the realization of thread safety is different for these two implementations. ConcurrentHashMap will create an HashEntry[] array internally to store the elements passed in from a Map, while Collections.synchronizedMap() will return a Synchroni...

   ConcurrentHashMap,Collections.synchronizedMap     2014-09-18 05:04:59

  Including Related Objects in Queries

Every time you hit a mobile network, it slows your users down and introduces another point of failure. So when you're designing your application, you need to take advantage of every opportunity to omit needless requests. Parse's philosophy is to help make this easier by providing standard ways to reduce network requests. One example is caching queries, which lets you avoid resending requests you've already sent. Another example, which we've launched in the most recent version of the...

   Software design,Request,Network load,Resource manage,Mobile     2011-12-07 08:51:56

  Websites Android developers must bookmark

Android now is an extremely popular mobile OS on the planet. This small robot creates a big world. Many developers are also devoting themselves to Android development. For both novices and experts, you all need to keep your skills updated and know what's happening in Android community. So we recommend some websites which you should bookmark. News Android People : Very interesting and most updated Android Weekly : Newsletters specially for Android developers Android and me PHAndroid Blogs Android...

   Android development,Resource     2013-07-23 20:45:28

  What else is new in C# 5?

The big new feature in C# 5 is asynchronous programming support, which I wrote about last week. However, the C# folks have also slipped in a couple of smaller features and I thought I’d round things out by mentioning those. Method caller information There’s a complete style guide to be written on Writing Enterprisey Code, but one of my favourite “enterprisey” tells, after the use of Visual Basic, is obsessively logging every function you pass through: Function Ad...

   C# 5,New feature,Analysis     2012-03-20 07:45:11

  The Erlang Design Pattern

Over the last couple of weeks I did an OO programming experiment. I call it the Erlang design pattern. It is based on the Actor model but goes some steps further. At its core just like the Actor model there are active entities (objects) that have a thread and a message queue with the thread waiting on the message queue to do some stuff. The Erlang design pattern extends the Actor model by first dividing the software program into active (actors, that have their own thread) and passive ...

   Erlang,Thread,Pattern,OS Threads     2012-02-06 07:47:56

  How Query Optimizer Works in RDBMS

In a previous post, we discussed how the various relational operators are implemented in relational database systems. If you have read that post, you probably still remember that there are a few alternative implementations for every operator. Thus, how should RDBMS determine which algorithm (or implementation) to use? Obviously, to optimize the performance for any query, RDBMS has to select the correct the algorithm based on the query. It would not be desirable to always use the same algori...

   DATABASE,DATABASE DESIGN,DATABASE OPTIMIZATION     2019-04-20 07:26:32

  5 Ways to Boost MySQL Scalability

There are a lot of scalability challenges we see with clients over and over. The list could easily include 20, 50 or even 100 items, but we shortened it down to the biggest five issues we see.1. Tune those queriesBy far the biggest bang for your buck is query optimization. Queries can be functionally correct and meet business requirements without being stress tested for high traffic and high load. This is why we often see clients with growing pains, and scalability challenges as their site becom...

   MySQL,Scalability,Methods,Implementation,Practice     2011-10-18 02:57:27

  Is 99.8% Secure Secure?

A group of researchers (Arjen Lenstra and collaborators  from EPFL Lausanne and James Hughes from Palo Alto) published a study, Ron was wrong Whit is right, of new vulnerabilities of cryptosystems. The New York Times picked up the story. Although Lenstra et al discuss several cryptosystems, their results are particularly relevant to those based on RSA. The title mirrors their conviction that cryptosystems based on a single random element have fewe...

   Security,Percentage,Security index     2012-02-27 04:48:06