Related Products
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About
IDLE is Python’s Integrated Development and Learning Environment.
IDLE has the following features:
- coded in 100% pure Python, using the tkinter GUI toolkit
- cross-platform: works mostly the same on Windows, Unix, and macOS
- Python shell window (interactive interpreter) with colorizing of code input, output, and error messages
- multi-window text editor with multiple undo, Python colorizing, smart indent, call tips, auto completion, and other features
- search within any window, replace within editor windows, and search through multiple files (grep)
- debugger with persistent breakpoints, stepping, and viewing of global and local namespaces
- configuration, browsers, and other dialogs
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About
A true cross-platform, multi-language code editor, with support for over 60 languages on 9 platforms. Build or compile your project, then double-click on an error message in the Build window to jump to that location. Errors and warnings are marked with an icon in the left margin. In addition, the overview bar, positioned alongside the vertical scrollbar, marks the position of errors and warnings relative to the current scroll position in the document. To quickly scroll a marked location into view, you can drag the scrollbar slider to the mark, or click on the mark itself. SlickEdit's integrated debugging provides a convenient and easy to use front-end for many debuggers. Set breakpoints, step, inspect the stack, view variables/members - all the features you expect from a debugger. SlickEdit supports debugging for: GNU C/C++, Java, WinDbg, Clang C/C++ LLDB, Google Go, Python, Perl, Ruby, PHP, XCode, Scala, C# using Mono, Visual Basic using Mono, and Android JVM/NDK.
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About
The h5py package is a Pythonic interface to the HDF5 binary data format. It lets you store huge amounts of numerical data, and easily manipulate that data from NumPy. For example, you can slice into multi-terabyte datasets stored on disk, as if they were real NumPy arrays. Thousands of datasets can be stored in a single file, categorized and tagged however you want. H5py uses straightforward NumPy and Python metaphors, like dictionary and NumPy array syntax. For example, you can iterate over datasets in a file, or check out the .shape or .dtype attributes of datasets. You don't need to know anything special about HDF5 to get started. In addition to the easy-to-use high level interface, h5py rests on a object-oriented Cython wrapping of the HDF5 C API. Almost anything you can do from C in HDF5, you can do from h5py.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Python developers
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Audience
Developers and professionals seeking a solution to build or compile their projects
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Audience
IT teams in need of a Component Library solution
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
$99.95
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationPython
Founded: 1990
docs.python.org/3/library/idle.html
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Company InformationSlickEdit
Founded: 1988
United States
www.slickedit.com
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Company InformationHDF5
www.h5py.org
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Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
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Text Editors Features
API
Auto-Complete
Code Folding
Column Editing
Customizable Themes
Debugging
Formatting / Table Editing
Keyboard Shortcuts
Multi-Monitor Editing
Syntax Highlighting
WYSIWYG
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Integrations
Python
Apache Groovy
C
CSS
D
Go
HTML
JavaScript
Julia
Less
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Integrations
Python
Apache Groovy
C
CSS
D
Go
HTML
JavaScript
Julia
Less
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Integrations
Python
Apache Groovy
C
CSS
D
Go
HTML
JavaScript
Julia
Less
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