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Eurocom is best known for their incredibly, some might say insanely, powerful notebooks have just announced support for an even faster processor in the Panther 2.0 mobile workstation. The Panther 2.0 Super Notebook can now be configured with an Intel Core i7-990X processor clocked at 3.46GHz with the ability to achieve 3.73Ghz when TurboBoost is activated.
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The Panther 2.0 Super notebook has a 17.3″ Full HD screen, multiple processor options up to the highest Core i7-990x added today, support for up to 24GB RAM, multiple hard drives and an impressive array of graphics choices from AMD and NVIDIA.
Keykey 2 1 – typing tutors. Intel Core i7 990X Extreme Edition features:
Free 2-day shipping. Buy Pen + Gear 1-Subject Spiral Notebook, Wide Ruled, 70 Pages, 10.5 in x 8 in at Walmart.com. Mead Attendance & Tracking Wirebound Notebook, 8 1/2' x 11', Color Chosen For You.
3.46 GHz core speed
Up to 3.73 GHz with Intel Turbo Boost Technology
6 cores
12 threads
12 MB Cache
3 Channels DDR3 1066 MHz memory
32nm manufacturing process technology
6.4 GT/s Bus Speed
'The i7-990X gives our clients a super powerful, unlocked processor that is built for unmatched performance' said Mark Bialic, President of Eurocom in a press release about the new option, adding, 'Customers can now match the Intel i7-990X extreme processor with AMD Radeon HD6970M and NVIDIA GTX 485M video cards for a super computer experience inside a notebook form factor.'
The Panther 2.0 starts at $2,999. Rapidweaver 5 2 1 ubkg download free. Adding the Intel Core i7-990X processor bumps the price up to $3,683 — and that's before tacking on the high-end graphics cards which can jump the price over $4,000 pretty quickly.
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Release 2.0.0¶April, 2014
IPython 2.0 requires Python ≥ 2.7.2 or ≥ 3.3.0.It does not support Python 3.0, 3.1, 3.2, 2.5, or 2.6.
The principal milestones of 2.0 are:
interactive widgets for the notebook
directory navigation in the notebook dashboard
persistent URLs for notebooks
a new modal user interface in the notebook
a security model for notebooks
Contribution summary since IPython 1.0 in August, 2013:
~8 months of work
~650 pull requests merged
~400 issues closed (non-pull requests)
contributions from ~100 authors
~4000 commits
The amount of work included in this release is so large that we can only coverhere the main highlights; please see our detailed release statistics for links to every issue and pull request closed on GitHubas well as a full list of individual contributors.
New stuff in the IPython notebook¶Directory navigation¶The IPython notebook dashboard allows navigation into subdirectories.URLs are persistent based on the notebook's path and name,so no more random UUID URLs.
Serving local files no longer needs the files/ prefix.Relative links across notebooks and other files should work just as if notebooks were regular HTML files.
Interactive widgets¶IPython 2.0 adds IPython.html.widgets, for manipulatingPython objects in the kernel with GUI controls in the notebook.IPython comes with a few built-in widgets for simple data types,and an API designed for developers to build more complex widgets.See the widget docs for more information.
Modal user interface¶Cleanmymac 3 4 1 download free. The notebook has added separate Edit and Command modes,allowing easier keyboard commands and making keyboard shortcut customization possible.See the new User Interface notebook for more information.
You can familiarize yourself with the updated notebook user interface, including anexplanation of Edit and Command modes, by going through the short guided tourwhich can be started from the Help menu.
Security¶2.0 introduces a security model for notebooks,to prevent untrusted code from executing on users' behalf when notebooks open.A quick summary of the model:
Trust is determined by signing notebooks.
Untrusted HTML output is sanitized.
Untrusted Javascript is never executed.
HTML and Javascript in Markdown are never trusted.
Dashboard 'Running' tab¶The dashboard now has a 'Running' tab which shows all of the running notebooks.
Single codebase Python 3 support¶IPython previously supported Python 3 by running 2to3 during setup. Wehave now switched to a single codebase which runs natively on Python 2.7and 3.3.
For notes on how to maintain this, see Writing code for Python 2 and 3.
Selecting matplotlib figure formats¶Deprecate single-format InlineBackend.figure_formatconfigurable in favor of InlineBackend.figure_formats,which is a set, supporting multiple simultaneous figure formats (e.g. png, pdf).
This is available at runtime with the new API function IPython.display.set_matplotlib_formats().
clear_output changes¶There is no longer a 500ms delay when calling clear_output.
The ability to clear stderr and stdout individually was removed.
A new wait flag that prevents clear_output from being executed until newoutput is available. This eliminates animation flickering by allowing theuser to double buffer the output.
The output div height is remembered when the wait=True flag is used.
Extending configurable containers¶Notebooks 2 0 2 X 20Some configurable traits are containers (list, dict, set)Config objects now support calling extend, update, insert, etc.on traits in config files, which will ultimately result in callingthose methods on the original object.
The effect being that you can now add to containers without having to copy/pastethe initial value:
Changes to hidden namespace on startup¶Previously, all names declared in code run at startup(startup files, ipython-iscript.py, etc.)were added to the hidden namespace, which hides the names from tools like %whos.There are two changes to this behavior:
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Scripts run on the command-line ipython-iscript.py``nowbehavethesameasiftheywerepassedto``%run, so their variables are never hidden.
A boolean config flag InteractiveShellApp.hide_initial_ns has been added to optionallydisable the hidden behavior altogether. The default behavior is unchanged.
Using dill to expand serialization support¶The new function use_dill() allowsdill to extend serialization support in IPython.parallel (closures, etc.).A DirectView.use_dill() convenience method was also added, to enable dilllocally and on all engines with one call.
New IPython console lexer¶The IPython console lexer has been rewritten and now supports tracebacksand customized input/output prompts. See the new lexer docsfor details.
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Scripts run on the command-line ipython-iscript.py``nowbehavethesameasiftheywerepassedto``%run, so their variables are never hidden.
A boolean config flag InteractiveShellApp.hide_initial_ns has been added to optionallydisable the hidden behavior altogether. The default behavior is unchanged.
Using dill to expand serialization support¶The new function use_dill() allowsdill to extend serialization support in IPython.parallel (closures, etc.).A DirectView.use_dill() convenience method was also added, to enable dilllocally and on all engines with one call.
New IPython console lexer¶The IPython console lexer has been rewritten and now supports tracebacksand customized input/output prompts. See the new lexer docsfor details.
Notebooks 2 0 2 X 200DisplayFormatter changes¶There was no official way to query or remove callbacks in the Formatter API.To remedy this, the following methods are added to BaseFormatter:
lookup(instance) - return appropriate callback or a given object
lookup_by_type(type_or_str) - return appropriate callback for a given type or 'mod.name' type string
pop(type_or_str) - remove a type (by type or string).Pass a second argument to avoid KeyError (like dict).
Notebooks 2 0 2 X 2All of the above methods raise a KeyError if no match is found.
And the following methods are changed:
for_type(type_or_str) - behaves the same as before, only adding support for 'mod.name'type strings in addition to plain types. This removes the need for for_type_by_name(),but it remains for backward compatibility.
Formatters can now raise NotImplementedError in addition to returning Noneto indicate that they cannot format a given object.
Exceptions and Warnings¶Exceptions are no longer silenced when formatters fail.Instead, these are turned into a FormatterWarning.A FormatterWarning will also be issued if a formatter returns data of an invalid type(e.g. an integer for ‘image/png').
Other changes¶%%capture cell magic now captures the rich display output, not juststdout/stderr
In notebook, Showing tooltip on tab has been disables to avoid conflict withcompletion, Shift-Tab could still be used to invoke tooltip when insidefunction signature and/or on selection.
object_info_request has been replaced by object_info for consistency in the javascript API.object_info is a simpler interface to register callback that is incompatible with object_info_request.
Previous versions of IPython on Linux would use the XDG config directory,creating ~/.config/ipython by default. We have decided to goback to ~/.ipython for consistency among systems. IPython willissue a warning if it finds the XDG location, and will move it to the newlocation if there isn't already a directory there.
Equations, images and tables are now centered in Markdown cells.
Multiline equations are now centered in output areas; single line equationsremain left justified.
IPython config objects can be loaded from and serialized to JSON.JSON config file have the same base name as their .py counterpart,and will be loaded with higher priority if found.
bash completion updated with support for all ipython subcommands and flags, including nbconvert
ipythonhistorytrim: added --keep= as an alias for the more verbose--HistoryTrim.keep=
New ipythonhistoryclear subcommand, which is the same as the newly supportedipythonhistorytrim--keep=0
You can now run notebooks in an interactive session via %runnotebook.ipynb.
Print preview is back in the notebook menus, along with options todownload the open notebook in various formats. This is powered bynbconvert.
PandocMissing exceptions will beraised if Pandoc is unavailable, and warnings will be printed if the versionfound is too old. The recommended Pandoc version for use with nbconvert is1.12.1.
The InlineBackend.figure_format now supports JPEG output if PIL/Pillow is available.
Input transformers (see Custom input transformation) may now raiseSyntaxError if they determine that input is invalid. The inputtransformation machinery in IPython will handle displaying the exception tothe user and resetting state.
Calling container.show() on javascript display is deprecated and willtrigger errors on future IPython notebook versions. container now showitself as soon as non-empty
Added InlineBackend.print_figure_kwargs to allow passing keyword argumentsto matplotlib's Canvas.print_figure. This can be used to change the value ofbbox_inches, which is ‘tight' by default, or set the quality of JPEG figures.
A new callback system has been introduced. For details, see Registering callbacks.
jQuery and require.js are loaded from CDNs in the default HTML template,so javascript is available in static HTML export (e.g. nbviewer).
Backwards incompatible changes¶Python 2.6 and 3.2 are no longer supported: the minimum requiredPython versions are now 2.7 and 3.3.
The Transformer classes have been renamed to Preprocessor in nbconvert andtheir call methods have been renamed to preprocess.
The call methods of nbconvert post-processsors have been renamed topostprocess.
The module IPython.core.fakemodule has been removed.
The alias system has been reimplemented to use magic functions. There should be littlevisible difference while automagics are enabled, as they are by default, but parts of theAliasManager API have been removed.
We fixed an issue with switching between matplotlib inline and GUI backends,but the fix requires matplotlib 1.1 or newer. So from now on, we considermatplotlib 1.1 to be the minimally supported version for IPython. Olderversions for the most part will work, but we make no guarantees about it.
The pycolor command has been removed. We recommend the much more capablepygmentize command from the Pygments project.If you need to keep the exact output of pycolor, you can still usepython-mIPython.utils.PyColorizefoo.py.
IPython.lib.irunner and its command-line entry point have been removed.It had fallen out of use long ago.
The input_prefilter hook has been removed, as it was neveractually used by the code. The input transformer system offers muchmore powerful APIs to work with input code. SeeCustom input transformation for details.
IPython.core.inputsplitter.IPythonInputSplitter no longer has a methodsource_raw_reset(), but gains raw_reset()instead. Use of source_raw_reset can be replaced with:
The Azure notebook manager was removed as it was no longer compatible with the notebook storage scheme.
Simplifying configurable URLs
base_project_url is renamed to base_url (base_project_url is kept as a deprecated alias, for now)
base_kernel_url configurable is removed (use base_url)
websocket_url configurable is removed (use base_url)