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Add your useful tools here -- editors, debuggers and other utils that really help with the process.
Contents
Debuggers
Name | Platform | Notes |
All | The standard library debugger, part of all Python installations. | |
Unix,Mac OS X | A visual, console-based, full-screen debugger, designed as a more comfortable drop-in replacement for pdb. (also supports IPython) | |
All | A .pdbrc for Python's standard debugger, pdb, which allows you to run arbitrary Python commands on pdb startup. | |
Unix, Windows,Mac OS X | (Predecessor of rpdb2 and winpdb) rpdb.py improves pdb's usability and adds support for remote debugging, multiple threads debugging, post mortem of unhandled exceptions, and for debugging of embedded scripts. | |
Unix | Graphical front-end for command-line debuggers such as GDB, DBX, WDB, Ladebug, JDB, XDB, the Perl debugger, the bash debugger, GNU Make debugger, or the Python debugger. DDD displays data structures as graphs and plots. A deprecated version of pydb comes with this package. For GNU make debugging, use ddd-test5 | |
gdb | *nix | See DebuggingWithGdb |
*nix, Windows | Pyclewn allows you to use Vim as a front end to a debugger. Pyclewn currently supports gdb and pdb. | |
trepan2, trepan3k | Unix, Windows, Mac OS X | A rewrite of pdb/pydb with closer compliance to gdb . This is the only debugger that I (rocky) am aware of that uses decompilation technology (also written by me), so that you can debug CPython bytcode files where no source code is available. Decompilation is also used to provide sensible debugging inside exec strings, and more accurate position information when stopped or in showing a stack trace. In addition to the features of pdb/pydb, the debugger supports syntax coloring (via pygments), has extensive on-line help (in rendered reStructuredText), readthedocs documentation, command completion, a smarter eval, debugger macros written in Python, and more. |
Unix, Windows, Mac OS X | An extension of the pdb module of the standard library. It is meant to be fully compatible with its predecessor, yet it introduces a number of new features to make your debugging experience as nice as possible. | |
Unix, Windows, Mac OS X | A set of debugging decorators which respects Django's settings in case the package is withing a Django project. It allows a user to PDB into a function, do a Line profiler, inspect an object and Disasemble the function. | |
Windows, Linux | Fork of winpdb after this was unmaintained | |
All | Improved version of pdb that is part of IPython but also can be used separately |
Debuggers that are no longer maintained:
Joined Apr 26, 2008 Messages 2,963 Reaction score 120 Points 63 Location Belgium Your Mac's Specs iPad Pro 12.9 latest iOS. See Mac OS X Leopard: Technology for more. If you want to know more about threads in OS X, try man 3 pthread And this actually manifested itself in earlier versions of the Linux kernel that simulated threads by actually launching a whole process in place of a thread, to take advantage of the process scheduler.
Name | Platform | Notes |
Windows | A python IDE with remote debugging capability. | |
Unix,Linux,Windows | An advanced python debugger, with support for smart breakpoints, multiple threads, namespace modification, embedded debugging, encrypted communication and speed of up to 20 times that of pdb. | |
Unix, Windows, OS X | Obsolete. An expanded version of pdb loosely based on the gdb command set. The debugger supports thread debugging, signal handling, non-interactive tracing, and much more. This was written in the era of Python 2.4-2.6. See trepan3k below. | |
Unix | pdb extension with curses module that adds console window with source code. | |
Mac OS X, OS/2, Unix, VMS and Windows | Both a CPYTHON and a JPYTHON(JYTHON) debugging framework which has been integrated inside Jedit as a standard jedit pluggin. | |
Unix,Windows | Debugger for Python programs with a graphical user interface. It uses bdb (part of stdlib) but adds a GUI and has some powerful features like object browser, windows for variables, classes, functions, exceptions, stack, conditional breakpoints, etc. |
IDEs with Debug Capabilities
Since debugging is one of the the functions that usually helps make up the 'Integrated' in 'Integrated Development Environment', expect that most IDEs will have debugging capability even if not listed explicitly here.
Mac OS X, Linux, Windows | For teaching/learning programming. Focused on program runtime visualization. Provides stepping both in statements and expressions, no-hassle variables view, separate mode for explaining references etc. |
Mac OS X, Linux, Windows | Allows debugging multiple threads in Jython and Python (It is featured as a 'Python IDE' plugin for Eclipse). |
Mac OS X, Linux, Windows | An IDE that can debug multiple threads and multiple processes, including code launched from the IDE or code launched externally, running under CPython and Stackless Python. The GUI includes a Debug Probe, which is a Python shell running in the context of the paused debug process. The IDE's debugger also features value watching (by symbolic path, object reference, or a combination), conditional breakpoints, move program counter, debugging of tests running in the integrated unit testing tool, special support for Django, and How-Tos for debugging code running under Flask, web3py, Django, Google App Engine, wxPython, PyQt, Tkinter, Blender, Maya, NUKE, and many other packages. |
Mac OS X, Linux, Windows | |
Mac OS X, Linux, Windows | PyCharm's integrated debugger works for Python and Jython, supports debugging of multiple threads, remote debugging, allows debugging Django, Google App Engine applications and unit tests. The debugger features various breakpoints, stepping modes, frames view, watches, evaluate expression tool and a debug console. Conditional and Exception breakpoint types are available for more precise control. Debug console allows executing any Python statements in the context of the process being debugged while stopped at a breakpoint. |
Windows | |
Linux, Windows | An IDE tool used to edit, debug Python scripts, publish encrypted scripts, build a standalone executable file, and make installation in various forms(.msi, .tar.gz, .rpm, .zip, .tar.bz2). It includes an editor simulating Emacs python-mode, a GUI debugger simulating GDB, a project view used to manage scripts, modules, extensions, packages and platform specific data files. |
Windows | Supports Python (any implementation with sufficient sys.settrace capabilities) and IronPython .NET debugging. Includes MPI cluster debugging, breakpoints, conditional breakpoints, locals, watch, and immediate windows, step into/out/over, break on exception, and break on unhandled exception. |
Mac OS X, Linux, Windows | Visual Studio Code is a source code editor developed by Microsoft for Windows, Linux and MacOS. It includes support for debugging, embedded Git control, syntax highlighting, intelligent code completion, snippets, and code refactoring. It is free and open-source, although the official download is under a proprietary license. Supports Python debugging via extensions. |
Mac OS X, Linux, Windows | A simple Python editor for beginner programmers, providing a simple interface depending on the project type. It includes visual debugging as first citizen. |
Web (Mac OS X, Linux, Windows) | Web UI for Notebooks in Python and other programming language, has a visual debugger intregrated. |
Profilers
All | profiler in the Python standard library |
All | pure Python module, in the Python standard library |
Remote process inspector/profiler for Python 2/3. Uses GDB to inject code. | |
Easy to use sampling profiler | |
high-performance, high-precision CPU and memory profiler | |
thread&coroutine aware | |
Development tool to measure, monitor and analyze the memory behavior of Python objects |
Special-purpose tools
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GoogleAppEngine + Firefox | FirePython is a python logger console integrated into Firebug (similar to !FirePHP). See http://appengine-cookbook.appspot.com/recipe/firepython-logger-console-inside-firebug/ |
Mac OS X, Linux | Remote process inspector (using an active component, using a thread or a plain simple signal handler). |
Remote process inspector. Uses GDB to inject code. | |
Any | Trace hook logger which outputs each thread in its own 'swimlane' to make multithreaded analysis easier. Can also time calls (naively) and watch variables. |
Remote process inspector. Uses GDB to inject code. | |
Mac OS X, Linux | Library and a set of tools for injecting code into running Python programs to monitor, analyze, introspect, and alter running Python programs easily. Uses GDB to inject code. |
Remote process inspector. Uses GDB to inject code. | |
Remote process inspector. Uses GDB to inject code. Uses rpyc for communication. | |
Remote process inspector (using an active component, a thread). | |
A flexible code tracing toolkit. Can print out code and variables, and filter the events. | |
Sweet and creamy print debugging -- inspect variables, expressions, and code execution with a single, simple function call. | |
Graphical Python debugger which lets you easily view the values of all evaluated expressions | |
Provides two utilities: show: a lightweight function that prints name and value of your variable(s) to the console, and peep: featured, interactive interface for data inspection. | |
Never use print for debugging again. This, my soul mac os. PySnooper is a poor man's debugger. If you can't use a real debugger for some reason or other, and you're resorting to adding print statements to your code, this is for you. Add just one decorator line to your functions, and you get a complete log of all the lines that ran in the function and all the variables that were changed. | |
An improved version of PySnooper. | |
Unix, Windows, Mac OS X | Trace and visualize your function execution on a graphical UI, with filters and arbitrary data logging support. Featured with a virtual debugger like pdb to debug your log of execution |
When working on a Logic Pro project with a lot of audio tracks, software instruments, or plug-ins, a system overload alert might appear that interrupts playback or recording. System overloads can occur when your Mac doesn't have enough processing power to play back or record audio. Use the techniques in this article to avoid system overloads.
Configure your system
Follow these guidelines when configuring your system for use with Logic Pro:
- Quit other apps when using Logic Pro.
- Make sure your Mac has the maximum amount of RAM, especially if your projects usually include many plug-ins or multiple instances of the EXS24 sampler.
- Save projects with high track counts to a dedicated storage device such as an external USB-C hard drive or an external solid-state drive (SSD) instead of saving projects to the system drive of your Mac.
- If your projects include multiple instances of the EXS24 sampler, use a dedicated hard drive to store EXS24 samples. Always use a dedicated drive if you use the Virtual Memory option with EXS24.
- Format hard disks, flash drives, or other storage devices used with Logic Pro in the APFS or Mac OS Extended (Journaled) format. Learn more about which file system is best for you.
Monitor system performance
Use the meters in the Logic Pro CPU/HD window to monitor system performance while working on a project. To view the CPU/HD window:
- Choose Logic Pro > Preferences > Advanced Tools, then select Show Advanced Tools. Choose any other additional options to streamline your workflow.
- Choose View > Customize Control Bar and Display.
- Choose Custom from the pop-up menu in the LCD section.
- Select the Load Meters (CPU/HD) checkbox, then click OK.
- A CPU/HD meter appears on the right side of the LCD. Double-click the CPU meter to open it in a new, expanded window.
The CPU/HD window has two sets of meters:
Audio: Shows the amount of CPU and RAM processing power used by Logic Pro. Each CPU core in your Mac has its own meter. On Mac computers with processors that support Hyper-Threading, two meters are shown for each core.
Disk I/O: Shows the amount of disk bandwidth used by Logic Pro.
Watch the meters as the project plays back, noting when the meters are full. When a meter is full, the CPU or the disk has reached the limit of its processing capability. System overload alerts can appear when any of these meters peak. You can use this information to make adjustments to your project or your system configuration.
Set audio device preferences
Choose Logic Pro > Preferences > Audio, click Devices, then adjust the following preferences:
- I/O Buffer Size: Increase the I/O buffer size, up to a maximum of 256 samples. The I/O buffers temporarily store audio data before sending it to other destinations on your Mac. Increasing the I/O buffer size reduces the load on the CPU of your Mac. However, larger I/O buffer sizes increase latency when recording.
To avoid latency and system overload alerts, decrease the I/O buffer size when recording, then increase it when mixing. If you're recording audio and not software instruments, you can monitor your audio directly from the source. Choose Logic Pro > Preferences > Audio > General, and deselect Software Monitoring. You can then set the I/O buffer size to 256 samples and leave it there for both recording and mixing.
- Process Buffer Range: Set this option to Large. As with the I/O buffers, higher settings increase latency.
- ReWire Behavior: If you aren't using ReWire, then set this option to Off. If you are using ReWire, set this option to Playback Mode.
- Multithreading: Multithreading affects how Logic distributes the DSP resources of your Mac. Learn more about setting the Multithreading preference to optimize performance.
Set automation preferences
If your project doesn't include automation, or the automation doesn't need to be sample accurate, you can reduce the CPU load by turning off Sample Accurate Automation.
- Choose Logic Pro > Preferences > Audio, then click General.
- From the Sample Accurate Automation pop-up menu, choose Off.
If your project does include automation, choose the option that includes only the parameters you're automating.
Choose the best sample rate for your project
Projects with higher sample rates create larger audio files, which can increase the load on the CPU and disk. Plug-ins also require more CPU power to process audio files at higher sample rates. When choosing the sample rate for your project, balance the considerations of audio quality, the anticipated format of the final product, and the performance of your Mac. If disk activity is causing system overload alerts, try choosing lower sample rates for your projects.
Use send effects
When using CPU-intensive effect plug-ins such as reverbs and delays, you can reduce the load on the CPU by usingsend effects. Send effects let you use a single plug-in to process signals from multiple channels.
Avoid inserting effect plug-ins on individual tracks in a project. If you need to insert reverb plug-ins on individual tracks, try less CPU-intensive reverbs like the SilverVerb and PlatinumVerb.
Optimize software instruments
Use these guidelines when working with software instruments:
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- When mixing, make sure to select an Audio track or an External MIDI track, not a Software Instrument track. Select a Software Instrument track only when you're actively working on it. If your project includes Track Stacks, make sure no Software Instrument sub-tracks are selected.
- Freeze tracks, especially tracks with a lot of plug-ins. However, if system overload alerts coincide with peaks in the Disk I/O meter, avoid freezing Software Instrument tracks. Freezing Software Instrument tracks can increase the load on the disk, increasing the likelihood of encountering a system overload alert.
- Set the number of voices used in a software instrument to the lowest number required. For example, if you have a Sculpture track that plays only two simultaneous notes, you could set that instance of Sculpture to use two voices.
Optimize EXS24 Virtual Memory settings
Jumping platypus mac os. You can adjust EXS24 Virtual Memory settings to optimize its performance. In the EXS24 Parameter window, click the Options button, then select Virtual Memory from the pop-up menu.
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Adjust the following preferences:
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- Active: If most of your system overload alerts coincide with peaks in the CPU/HD window Audio meter, select this option. If the alerts coincide with peaks in the Disk I/O meter, deselect it.
- Disk Drive Speed: If you have a solid-state drive or a 7200-rpm or faster hard drive for your audio samples, choose Fast. If you are using a 5400-rpm drive for your audio samples, choose Medium.
- Hard Disk Recording Activity: If your projects include very few audio tracks, select Less. If your projects include a lot of audio tracks, select Average or Extensive.
Settings in the EXS24 Virtual Memory window are global—they affect all instances of EXS24 in all projects.
Optimize Alchemy
You can also optimize Alchemy for improved performance.