Flask Web Development: Developing Web Applications with by Miguel Grinberg

By Miguel Grinberg

Take complete inventive regulate of your internet functions with Flask, the Python-based microframework. With this hands-on e-book, you'll research Flask from the floor up via constructing a whole social running a blog software step by step. writer Miguel Grinberg walks you thru the framework's center performance, and indicates you ways to increase functions with complicated net ideas reminiscent of database migration and internet provider communication.

Rather than impose improvement instructions as different frameworks do, Flask leaves the enterprise of extensions as much as you. when you've got Python event, this publication exhibits you ways to use that inventive freedom.
* research Flask's simple program constitution and write an instance app
* paintings with must-have components—templates, databases, net varieties, and e mail support
* Use applications and modules to constitution a wide program that scales
* enforce consumer authentication, roles, and profiles
* construct a running a blog function through reusing templates, paginating merchandise lists, and dealing with wealthy text
* Use a Flask-based RESTful API to reveal app performance to smartphones, capsules, and different third-party clients
* easy methods to run unit assessments and improve software performance
* discover thoughts for deploying your net app to a creation server

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35 Chapter 2 ■ Overview of Platform Architectures It is worth noting that job schedulers take their portion of time for every job execution, and this time can reach seconds per job submission. The good news is that scheduling takes place only before the application starts and may add some time after the job ends (for the clean-up). So, if your job takes several days to run on a cluster, these few seconds have a small relative impact. However, sometimes people need to run a large number of smaller jobs.

Chapter 3 ■ Top-Down Software Optimization • • Basic input-output system (BIOS): The BIOS is used to bootstrap the system (that is, starting the OS without having full knowledge of the components used), but more importantly, it is also used to configure certain hardware features that can only be set at the boot time. Examples for such features are: • NUMA mode: Does the BIOS present the system memory as local to a socket or as one homogeneous memory region? Inefficient memory initialization may introduce significant system-level bottlenecks for particular applications.

Processors in each node have their own dedicated private memory and their own private I/O. In fact, these nodes are likely to be shared memory systems like those we have reviewed earlier. Before any processor can access data residing in another node’s private memory, that data should be copied to the private memory of the node that is requesting the data. This hardware approach to building a parallel machine is called distributed memory. The additional data copy step, of course, has additional penalty associated with it, and the performance impact greatly depends on characteristics of the interconnect between the nodes and on the way it is programmed.

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