Python Cpu Load

Even when I close the browser, the CPU load doesn't decrease. 2 CPU Scheduler. 5% total load. Up to 100,000 CPU-seconds per day for consoles, scheduled tasks and always-on tasks. If I see a load of 1. Personally i use htop, it shows full command, with arguments, not just name - Sergiy Kolodyazhnyy Jun 12 '16 at 21:24. 7, PyPy and PyPy3. Description. In the Load. Hi! I'm trying to read the RPi CPU temperature with Python. Since it is practically impossible to test dstat on every possible permutation of kernel, python or distribution version, I need your help and your feedback to. The Python interface – pycaffe – is the caffe module and its scripts in caffe/python. That brings us to the concept of load. This means that only one thread can be in a state of execution at any point in time. Parameters. ETL stands for Extract, Transform and Load, which is a process used to collect data from various sources, transform the data depending on business rules/needs and load the data into a destination database. Remember that you must call model. Hi everyone. Along with analysis of the application behavior under load, you need to control the resource usage on the server and find bottlenecks (CPU, disk IO, memory or network) that may limit the server performance. The output of top command shows that CPU load is about 82!. We are going to test run python Flask on mobile phone as nowadays there are mobile phones available with more CPU and RAM than it used to b. Load the above code, open the serial monitor and take measurements of two known loads. At first reading there is normally a server ('OPC. So one minute load percentage is load 0. Linux process memory usage: How to sort ‘ps’ command output | alvinalexander. In Python, the source code is compiled into a much simpler form called bytecode. Doing this from Python was not exact, because we could only time the period elapsed between the “open webpage in browser” and “close browser” commands. org Read the doc Install it Contribute Get support. To fix this problem you'll have to remove the files you installed with a sudo pip install , via e. load, my laptop very soon starts swapping. By voting up you can indicate which examples are most useful and appropriate. It's a modified version from industry and mostly used to cool the head of powerful laser cutters. I want to monitor the CPU and RAM usage using Python, Now, I know how to monitor RAM usage by Python from ctypes import * from ctypes. ) to handle the anticipated load? Does the server respond quickly enough to provide a good user experience?. cpu-load-generator – a tool for generating a set of subsequent CPU utilization levels. If you're trying to create load on your computer to test other stuff, then you'll probably have to use Python's multiprocess module to spawn new pythons to do some tight-looping. Python's time. Diagnosing Memory “Leaks” in Python The Problem. Written in Python, Glances will run on almost any plaftorm : GNU/Linux, FreeBSD, OS X and Windows. " typically CPU utillization is caculated through /proc/stat information. I've installed pythong 2. Linux: How to check the hardware I've noticed there are no good tutorials on how to check what hardware you have installed on your machine. Here are the tools I use Simulate High CPU Usage CPUSTRES. A profile is a set of statistics that describes how often and for how long various parts of the program executed. (waiting for keystrokes or files to load) and makes you more productive. Searches can be bounded by a single core performance while other resources remain idle. Load balancers are used to increase capacity (concurrent users) and reliability of applications. Let's say you want to know the execution time of the following Python code: a = range(100000) b = [] for i in a: b.    . This was because the script was only. (on release of the button). Python Audio Tools are a collection of audio handling programs which work from the command line. IPython is a growing project, with increasingly language-agnostic components. We've imported lxml using a Windows exe to the version of Python in the registry which is: C:\Python27\ArcGIS10. Python is a programming language. To see which Python installation is currently set as the default: On macOS and Linux, open the terminal and run---which python. This course will take you from the basics of Python to exploring many different types of data. " typically CPU utillization is caculated through /proc/stat information. Use the following command to install tensorflow (even if you have already installed it) For me it worked on win7 64bit and python 3. Save the Keras model as a single. Working with Python in Visual Studio Code, using the Microsoft Python extension, is simple, fun, and productive. The Python interpreter can run any Python code, including Python modules you include with your application, as well as the Python standard library. Deep learning tutorial on Caffe technology : basic commands, Python and C++ code. In this tutorials we will see, how to get CPU utilization and Memory Usage in Python by using psutil library. Python(x,y) can be easily extended with other Python libraries because Python(x,y) is compatible with all Python modules installers: distutils installers (. This may limit the server performance and lead to enhancements or fixing before you go for production. 0 and Python 2. I have a txt file with matrices that looks like this: Matrix # 1[6 x 8] [[0. 0_01/jre\ gtint :tL;tH=f %Jn! [email protected]@ Wrote%dof%d if($compAFM){ -ktkeyboardtype =zL" filesystem-list \renewcommand{\theequation}{\#} L;==_1 =JU* L9cHf lp. Python is a pretty elegant and intuitive programming language compared to MATLAB. register_compressor (compressor_name, compressor) Register a new compressor. 57 out of a possible 4. 34 and php 4. You might sometimes come across objects that were pickled in Python 2 while running Python 3. Cloud Computing. We will learn how to import csv data from an external source (a url), and plot it using Plotly and pandas. Automatic memory transfer. The Python interface – pycaffe – is the caffe module and its scripts in caffe/python. sleep() Syntax.    . I've used top quite a bit to see what's going on when some memory-intensive Python script runs in Scribus. What is CPU Scheduling? CPU scheduling is a process which allows one process to use the CPU while the execution of another process is on hold(in waiting state) due to unavailability of any resource like I/O etc, thereby making full use of CPU. 00, or are all 4 CPUs running flat out and swapping the 57% overhead? Also, is there an easy way to get a CPU count to adjust the load statistic if needed?. Now available for Python 3! Buy the. Almost all programming languages have this feature, and is used in many use-cases. cProfile and profile provide deterministic profiling of Python programs. Starting from v2. You could either unpickle it by running Python 2, or do it in Python 3 with encoding='latin1' in the load() function. How to code the Simplest BitCoin CPU Miner? Ask Question Asked 8 years, 3 months ago. I looked online and found this which looked helpful but was very confusing. How to set up your Linode for maximum awesomeness shows how to work with a VPS once you've got the server up and running. 6 Submitting Jobs. New projects for beginners and up posted every day. GitHub Gist: instantly share code, notes, and snippets. ) The data is stored in a DMatrix object. Users can save the workspace ARM properties using this function, and use from_config to load the same workspace in different Python notebooks or projects without retyping the workspace ARM properties. Hello, We have an Elasticserach cluster configured with 5 nodes. brew install —build-from-source —with-python —fresh -vd protobuf; Install boost libraries for python. The most load that a single CPU thread pegged at 100% for one minute can "contribute" to the 1 minute load average is 1. When I teach courses on Python for scientific computing, I make this point very early in the course, and tell the students why: it boils down to Python being a dynamically typed, interpreted language, where values are stored not in dense buffers but in scattered objects. 3, Sendmail & Amavis to support an announcement only list of about 40k members on an IBM Netfinity server (1 Gb RAM). cuDF DataFrame. Tech support scams are an industry-wide issue where scammers trick you into paying for unnecessary technical support services. Ehm, I know it's a old discussion, however I found a solution by myself. In the age of big data we often find ourselves facing CPU-intensive data processing tasks, therefore it is useful to understand how to harness all available CPU power to tackle a particular problem. Oracle 11gr2, running on Red Hat Enterprise Linux Server release 5. Diamond Diamond is a Python daemon that collects metrics and publishes them to Graphite or other backends. It is useful mainly for system monitoring, profiling and limiting process resources and management of running processes. The number of CPUs used by indexing will grow as the data volume grows, from around 2 at lower loads upwards to around 5-6 at higher volume loads (think 100GB/day). 1c standard. Download Caffe. If you have a computer made in the last decade, there's a good chance it has 4 (or more) CPU cores. Another way to do it is to use a logging configuration file. I save this value and the next time I check it (every 1. 6 test suite failures and its use should be avoided without additional patches. org and select the most recent …. We can take advantage of the entire Python ecosystem, which is perfect for bringing machine learning to Excel. You could either unpickle it by running Python 2, or do it in Python 3 with encoding='latin1' in the load() function. Now available for Python 3! Buy the. js native addon build tool. 8 and it crashes on both my machines. The interpreter cannot load Python modules with C code; it is a "pure" Python environment. Why Won’t My Program use More than 25% of the CPU? Firefox, and Palemoon, are basically unusable with my usual load of 5 windows (aprox 100 tabs). Try top in a terminal window, which should take less time to launch then System Monitor. For the record, the Nest Wifi Router is powered by a Qualcomm networking processor with the same CPU compute as the Nest Wifi Point and Nest Mini: 4 x A53 at 1. Problem: When I try to load the file with sage. 0 whileloops behave similarly to their MxScript equivalents, but using the Python syntax rules of ending a flow control statement with a colon, and using indentation to represent scope: while i>1: i/=2 Python does not have an equivalent of the MxScript do while loop. Following is the syntax for stat() method −. Recently we came across a Python script which was CPU-intensive, but when the analyst viewed their overall CPU usage it was only showing ~25% utilization. Some of the features described here may not be available in earlier versions of Python. (All the other processes consume apparently 0% CPU). Accordingly, the Load() constructor has a parameter two switch normalization on. I looked online and found this which looked helpful but was very confusing. Boto is the Amazon Web Services (AWS) SDK for Python. Open up many Multiprocessor instances each with a tight loop that does something and something that makes a lot of small allocations in each of them. When I teach courses on Python for scientific computing, I make this point very early in the course, and tell the students why: it boils down to Python being a dynamically typed, interpreted language, where values are stored not in dense buffers but in scattered objects. I've been looking at it for the past 2 months or so, and recently we started to use it in production here at OpenX. NOTE: It is a preview version of the Inference Engine Python* API for evaluation purpose only. Starting from v2. At its core, Passenger is a process manager and HTTP request router. I will be having a Python run 24/7 in a while loop, here is an example of the sort of program: while True: print ("me again") But when I run it, my CPU goes to 100%! But I don't want that since my program will run for long lengths of time, etc. For all future reference, this will be called the. when the load goes up (lets say to 100-150) I found that I don't need to restart the system to get the avg load back to normal. We recently reduced CPU usage across our fleet by 80%. , resulting in a page fault). Python, 67 lines. Keras is a simple and powerful Python library for deep learning. high load cpu. version) script that reads systemd service names from a file and gets their CPU and Memory usage. Use the following command to install tensorflow (even if you have already installed it) For me it worked on win7 64bit and python 3. They are from open source Python projects. Ganglia is a scalable distributed monitoring system for high-performance computing systems such as clusters and Grids. Pandas makes importing, analyzing, and visualizing data much easier. The Grinder is a Java TM load testing framework that makes it easy to run a distributed test using many load injector machines. conda install tensorflow keras. 8, unless otherwise noted. Tracking CPU load averages over a period of time can help system administrators diagnose the cause of server slowdowns. You can vote up the examples you like or vote down the ones you don't like. In the age of big data we often find ourselves facing CPU-intensive data processing tasks, therefore it is useful to understand how to harness all available CPU power to tackle a particular problem. How to set up your Linode for maximum awesomeness shows how to work with a VPS once you've got the server up and running. In Python, the source code is compiled into a much simpler form called bytecode. We perform a carefully crafted speculative load to an address the CPU is not immediately prepared to handle (e. Essentially, as the name implies, it pauses your Python program. We don't have the possibility to install modules like psutil on some boxes, thus I decided to write a simple script to calculate the CPU percentage by the given PID. virtualenv, venv, or pipenv). com; As many web workers as you need to scale your site's capacity. Problem: When I try to load the file with sage. You can use it for building ML models, transferring data or managing your infrastructure. Let's say you want to know the execution time of the following Python code: a = range(100000) b = [] for i in a: b. Load a SavedModel from export_dir. For this scenario, we needed to read the webpage load time. From the above scripts you confirmed that there is a huge CPU utilization from one of the SQL Instance and you identified the database which is causing high CPU. Python itself is just interpreter for the python programs, those can cause loading. Crash Dump Analysis Checklist. 5 are currently untested. I've installed pythong 2. The baseline overhead can be measured by invoking the program without arguments, and it might differ between Python versions. (probably because i understand the SO format but not **traditional** forums) I. At its core, Passenger is a process manager and HTTP request router. Python Editor. How to increase Python's CPU usage. To reproduce the 100% CPU load problem, we used a simple python TLS client on separate linux PC with Traffic control utility (tc): tc qdisc change dev eth0 root netem delay 5000ms After in-depth analyzing, we realized that _ssl. Load a SavedModel from export_dir. When I teach courses on Python for scientific computing, I make this point very early in the course, and tell the students why: it boils down to Python being a dynamically typed, interpreted language, where values are stored not in dense buffers but in scattered objects. It uses /proc/stat to get CPU times and /proc//stat to get the process CPU usage. Welcome to the Security Information Center This is a portal site created by ThreatPerspective to enable our clients and other interested parties to learn more about Information Security. AWS Lambda natively supports Java, Go, PowerShell, Node. multi-threaded applications, including why we may choose to use multiprocessing with OpenCV to speed up the processing of a given dataset. GitHub Gist: instantly share code, notes, and snippets. Check the content of the file example2. https://micronews. Many people, when they start to work with Python, are excited to hear that the language supports threading. You might sometimes come across objects that were pickled in Python 2 while running Python 3. The psutil library will give you some system information (CPU / Memory usage) on a variety of platforms:. TensorRT-based applications perform up to 40x faster than CPU-only platforms during inference. Each process using or waiting for CPU (the ready queue or run queue) increments the load number by 1. In the Load. model – ModelProto (returned by onnx. This lures the CPU into incorrectly pulling in-flight data from the target buffers, and then similarly to other speculative execution attacks, we leak this data using a Flush+Reload attack before the CPU. 1, CNTK also supports Universal Windows Platform (UWP). Page Fault Breakpoints. Unispace provides an out-of-box integration of the scalable Apache application server dedicated specially for the Python-based applications hosting. Linux: How to check the hardware I've noticed there are no good tutorials on how to check what hardware you have installed on your machine. 04 : To be updated. Small CPU Emulator (LC3) in Python. I don't know if it could be the reason, but the virtual machine might not be the more powerful, as when i try to run the script in PBI, my cpu use is at 100% and the memory use. 7; Execute the script a first time with this version of Python; Load Python version 3. I have used cProfile to profile the python web app on both virtual machines: the result is that, in both cases, nearly all (> 99%) the cpu time is spent on waitpid system call (according to "tottime" value reported by cProfile). The number of CPUs used by indexing will grow as the data volume grows, from around 2 at lower loads upwards to around 5-6 at higher volume loads (think 100GB/day). 0 Python install intellisense Azure John Ciliberti reported Oct 26, 2016 at 03:47 PM. SQL Server Query Wise CPU Utilization. when the load goes up (lets say to 100-150) I found that I don't need to restart the system to get the avg load back to normal. 00, or are all 4 CPUs running flat out and swapping the 57% overhead? Also, is there an easy way to get a CPU count to adjust the load statistic if needed?. One of the most common out there is HAProxy. It’s FOSDEM time again! Join us at Université libre de Bruxelles, Campus du Solbosch, in Brussels, Belgium. We've all heard it before: Python is slow. when I run a program (which is creating sentiment analysis module using pickling) it gives following error:. XGBoost binary buffer file. " From what I can tell, the number of processors are dealt with the same way as on Linux, that is, a single core processor is overloaded when the load is >1 and a quad core processor is overloaded when the load is >4: msg321869 -. Linux Mint is an elegant, easy to use, up to date and comfortable GNU/Linux desktop distribution. cloudlinux-collect: collect system load statistics. What is the fastest version of Python ?. Code faster with the Kite plugin for your code editor, featuring Intelligent Snippets, Line-of-Code Completions, Python docs, and cloudless processing. Load the above code, open the serial monitor and take measurements of two known loads. That's all there is to getting started with NeoPixel LEDs on Raspberry Pi! Below is an example program that repeatedly turns all the LEDs red, then green, then blue, and then goes through a single rainbow cycle. and also can you please help me out to write search to get CPU utilization with host name in my. pb file to a model XML and bin file. It uses /proc/stat to get CPU times and /proc//stat to get the process CPU usage. To run a load test on websites we have to create python file which contains the taskset and locust class. cuDF DataFrame. Raising the niceness of a process only helps by enabling other processes to get the CPUs more often. Some of the features described here may not be available in earlier versions of Python. You can change this value to anywhere between 0 and 100 where '0' will effectively lock your CPU at a speed regardless of its load whilst '100' will, in theory, make it behave identically to the "ondemand" governor. To be able to learn either tool, you would need to be comfortable with working. Hi! I'm trying to read the RPi CPU temperature with Python. CPU Load Averages explains how to measure CPU load and what to do about it. 3 you would then run: module load python/3. SimaticNET','192. With the exception of the graphics module, all of these modules are built into python. The baseline overhead can be measured by invoking the program without arguments, and it might differ between Python versions. Code faster with the Kite plugin for your code editor, featuring Intelligent Snippets, Line-of-Code Completions, Python docs, and cloudless processing. They are from open source Python projects. The interpreter cannot load Python modules with C code; it is a "pure" Python environment. psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python. The CPU usage in Windows 8, 8. Sheet flow is described by modified kinematic wave equation. By default, Python programs execute as a single process using a single CPU. Both limits x and y can be left blank (meaning the beginning and end of the file, respectively). When I teach courses on Python for scientific computing, I make this point very early in the course, and tell the students why: it boils down to Python being a dynamically typed, interpreted language, where values are stored not in dense buffers but in scattered objects. XAMPP is a free and open source cross-platform web server package, consisting mainly of the Apache HTTP Server, MySQL database, and interpreters for scripts written in the PHP and Perl programming languages. Most of the day, the server is just fine, but every few hours or so randomly spread throughout the day, the serverload will SHOOT up into the hundreds. In order to use the GPU version of TensorFlow, you will need an NVIDIA GPU with a compute capability > 3. PySpark shell with Apache Spark for various analysis tasks. It is based on a hierarchical design targeted at federations of clusters. 57 out of a possible 4. Read on! 1. Maybe later together with Fan-Speed and CPU-Load. Microsoft open sources breakthrough optimizations for transformer inference on GPU and CPU. If you need a short tutorial about how to get started with OpenCV 4 programming in Python 3. Python Audio Tools are a collection of audio handling programs which work from the command line. 3 - Per core monitoring and alerting allows a Sys Admin to locate and resolve cpu resource issues that may not show in overall use or system load checks 4 - Works with pnp4nagios graphing and should create a graph for overall cpu use, and one for each cpu core for tracking historical data. It's a modified version from industry and mostly used to cool the head of powerful laser cutters. An easy way to harness the power of Nvidia GPUs is the use of NumbaPro, a performance library by Continuum Analytics that dynamically compiles Python code for the GPU (or a multi-core CPU) – similar to Numba. Our estimators are incompatible with newer versions. It's a problem with user permissions over the folder "C:\users\xxx\appdata\local\temp", since you don't have enough permission to access the folder when computer starts and try to load googledrive. We've imported lxml using a Windows exe to the version of Python in the registry which is: C:\Python27\ArcGIS10. The load should show properly. Then, multiple CPUs were incorporated into a node. I tried changing the CPU affinity for the process ID, but the process already has affinity for all 8 cores. Opti used Particle to bring this valve online and teach it how to check the weather. It does that by first getting the main PID of the service by either searching for it in /var/run (most services have a pidfile containing the main PID there, however, there are different ways in which they are created -- in a subfolder or not, with a. Python, 67 lines. -cp35-cp35m-manylinux1_x86_64. Displaying CPU, memory & IO limits. It is also a framework for describing arbitrary learning machines such as deep neural networks (DNNs). They are from open source Python projects. sleep() function:. By voting up you can indicate which examples are most useful and appropriate. (waiting for keystrokes or files to load) and makes you more productive. SciPy 2D sparse array. Open the software and click on the Up Arrow or the Down Arrow, respectively, to adjust the speeds according to your computer’s load. I installed python-3. x only - thus it cannot load profile data generated by Python 3 programs. Multiprocessing with OpenCV and Python. The method provides a simple way of reusing the same workspace across multiple Python notebooks or projects. From scratch to search: setup Elasticsearch under 4 minutes, load a CSV with Python and read some more about it Practical technology introduction (for data science, logging and monitoring, full-text search etc. Thanks to everyone who works on all the awesome Python data science libraries like numpy, scipy, scikit-image, pillow, etc, etc that makes this kind of stuff so easy and fun in Python. You will need to use your own UCI-compatible chess program. [SOLVED] Python using high CPU cycles Pretty new to Linux, I'm starting to learn my way around, but this one escapes me. 30% on each core. Following is the syntax for stat() method −. POSH allows concurrent processes to communicate simply by assigning objects to shared container objects. With over 15 million users worldwide, it is the industry standard for developing, testing, and training on a single machine, enabling individual data scientists to:. 6 Submitting Jobs. Load balancers are used to increase capacity (concurrent users) and reliability of applications. import error: DLL load failed: The specified module could not be found. If you need a short tutorial about how to get started with OpenCV 4 programming in Python 3. TensorRT-based applications perform up to 40x faster than CPU-only platforms during inference. I would like to use the percentage of CPU load in a program to discover wether or not it has an affect on some other sensors but i need to be able to get that number as an integer in python. x # by replaceing print() with print import os import time def. It works on Win8 but I think it's the same. org/2019/1574627643. In what follows I use Python 3. I chose eight worker threads because my computer has eight CPU cores and one worker thread per core seemed a good number for how many threads to run at once. pythonanywhere. Hardware performance monitoring is an integral part of load testing. Python is often described as an interpreted language—one in which your source code is translated into native CPU instructions as the program runs—but this is only partially correct. That means that the one CPU is doing all of the work of the non-concurrent code plus the extra work of setting up threads or tasks. conda install. Notes on this release. Boto is the Amazon Web Services (AWS) SDK for Python. For example, the eval function evaluates a string as if it were a Python expression. Disk Space, Memory Use, and CPU Load: du, df, free, and w. Virtualized servers resources. SQL Server Query Wise CPU Utilization. If you want to use the one from python/3. If you are looking for examples that work under Python 3, please refer to the PyMOTW-3 section of the site. A Docker container runs in a virtual environment and is the easiest way to set up GPU support. The number of CPUs used by indexing will grow as the data volume grows, from around 2 at lower loads upwards to around 5-6 at higher volume loads (think 100GB/day). Question Printing image to python. This code can. 1 as a non-privileged user, you may need to escalate to administrator privileges to install an update to your C runtime libraries. Questions & comments welcome @RadimRehurek. Oracle 11gr2, running on Red Hat Enterprise Linux Server release 5. Below we’ve listed 7 ways to improve the performance of your Python environment. The system has 32 cores. 6 Submitting Jobs. Below we've listed 7 ways to improve the performance of your Python environment. This lightweight, distributed and scalable framework helps us to find out how many concurrent users a system can handle by writing test case scenarios in Python code. Memory type, size, timings, and module specifications (SPD). Today dozens of Google engineers use Python. It's a problem with user permissions over the folder "C:\users\xxx\appdata\local\temp", since you don't have enough permission to access the folder when computer starts and try to load googledrive. but, i see "This is a rough approximation based on time spent in system idle process as reported by the Linux kernel in /proc/stat file. Running my script, I can see in top that the process is using 400% CPU or all of 4 cores. You may want to investigate the problem, and take note of the process that uses a lot of CPU. " From what I can tell, the number of processors are dealt with the same way as on Linux, that is, a single core processor is overloaded when the load is >1 and a quad core processor is overloaded when the load is >4: msg321869 -. All model data, derivatives, and parameters are exposed for reading and writing. In what follows I use Python 3. (2 replies) I'm looking for tips on how to load balance running multiple Python applications in multi-CPU environments. To the purpose, a PI controller is employed. org and select the most recent …. create_training_graph method when I do quantization aware training of Resnet50. com, can work under Windows XP (need Microsoft. psutil (process and system utilities) is a cross-platform library for retrieving information on running processes and system utilization (CPU, memory, disks, network, sensors) in Python. Python TCP server - CPU usage continually increasing over time « on: January 26, 2018, 08:33:07 pm » Please take it easy on me, I only started learning Python last week, and have cobbled this together, so I am fully aware that it will look a pile of crap to the proper programmers on here!. To run a load test on websites we have to create python file which contains the taskset and locust class. Engine Binaries. 8, unless otherwise noted. timeout: 1) sock. If you need a short tutorial about how to get started with OpenCV 4 programming in Python 3. How to Profile Memory Usage in Python - select the contributor at the end of the page - One of the ways Python makes development fast (not to mention easier than languages like C and C++ ) is memory management. You can vote up the examples you like or vote down the ones you don't like. Why Won’t My Program use More than 25% of the CPU? Firefox, and Palemoon, are basically unusable with my usual load of 5 windows (aprox 100 tabs). Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. Needs WMI to be present. If you are looking for examples that work under Python 3, please refer to the PyMOTW-3 section of the site. At its core, Passenger is a process manager and HTTP request router.