The blue line is the original noisy data, while the orange line with a 30-day rolling window ends up having not as much

Pandas is a powerful library with a lot of inbuilt functions for analyzing time-series data. This article saw how Python’s pandas’ library could be used for wrangling and visualizing time series data. We also performed tasks like time sampling, time-shifting, and rolling on the stock data. These are usually the first steps in investigating any time series data. Going forward, we could use this data in several ways. One way could be to perform a basic financial analysis by calculating the daily percentage change in stocks to get an idea about the stock price volatility. Another way would be to use this data to predict Maruti’s stock price for the next few days by employing Machine Learning Techniques. Whatever assignment you choose, the preliminary steps shown in this article would come in handy.

We could imagine an alternative, cheap repainting system for when the avatar is still. But its a bad idea for 2 reasons. First, it does not help when avatar walks (the game must be performant 100% of the time). Second, this system would be very hard to implement due to the intricated overlapping of the volume elements (creatures, walls, speaks, missiles, trees, etc..), mainly the moving ones, each with its own shape and size.

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up like that can only go that far. There is a limit for recursion. It defaults to 100, but could be extended with MAXRECURSION option (MS SQL Server specific). Practically, it could be a bad idea to crank recursion limit up. Graphs might have cycles and limited recursion depth can be a good defense mechanism to stop poorly behaving query.

Why Chrome? Because it is by far the fastest (at the time of writing this article). Therefore, if the code doesn’t work in Chrome, we know it is not going to work anywhere else.

An application running at 60 FPS means that it has less than 16,666 ms (1 second / 60) to complete the execution of each loop. But since the browser and the operating system have other tasks to perform, in practice we have half of this time.

If we want a STRONG margin of safety (we don’t know all the circumstances in which our game will run), we may consider 3 ms as the maximum time available for the execution of each loop in the game.

The image at the beginning of the article is a good example of the type of game I used as inspiration for the tests. A 2.5D adventure like game, third person view, which the player’s avatar is always positioned at the center of the canvas. The game environment is a labyrinth of 100x100 squares with lakes, creatures, and many trees and many walls.

Pandas is a powerful library with a lot of inbuilt functions for analyzing time-series data. This article saw how Python’s pandas’ library could be used for wrangling and visualizing time series data. We also performed tasks like time sampling, time-shifting, and rolling on the stock data. These are usually the first steps in investigating any time series data. Going forward, we could use this data in several ways. One way could be to perform a basic financial analysis by calculating the daily percentage change in stocks to get an idea about the stock price volatility. Another way would be to use this data to predict Maruti’s stock price for the next few days by employing Machine Learning Techniques. Whatever assignment you choose, the preliminary steps shown in this article would come in handy.

The current version of the Chrome FPS Meter features a very important advance. It tells how many frames are dropped (not printed on screen). And shows the percentage of the recent printed frames over all recent produced frames. The maximum value it shows is 99% even when all the frames are printed.

The creatures list and the missiles list are small. And are used only for efficiency. Every loop, creatures and missiles must be updated. It is more efficient iterate over the 2 small lists than iterate over a 10 thousand object list.

In this article, we check whether the browser is capable of running a sprite game at 60 FPS (frames per second) or not. We discuss architecture options, run performance tests and discover a HUGE catch.

The terrain list is the large list, containing 10 thousand (100x100) squareObjects. Each squareObject tells everything about the square of the terrain that it represents, including the creature and the missiles that may be over it.

When the avatar walks, his whole environment must be displaced on canvas (since he is always painted in center of canvas). Therefore we must repaint the whole canvas every loop. This is an expensive operation.

Note: the Chrome FPS Meter does not measure performance of a game that runs inside an iframe tag. If the rest of the page is static, the tool tells that no frame was dropped; doesn’t matter how bad can be the performance of the iframed game.

The weight of game logic, even with the AI of creatures working, is negligible. Running the game without painting takes 0.1 ms or less. Therefore, we will no longer discuss the logic of the game in this article.