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For most Unix systems, you must download and compile the source code. The same source code archive can also be used to build the Windows and Mac versions, and is the starting point for ports to all other platforms. Download the latest Python 3 and Python 2 source.

1. Python Modules Mac
2. Python Library Manual
3. Python Library Mac Torrent
4. Python Library Machine Learning
5. Python Library Machine Learning

Bob Savage <bobsavage@mac.com>

Python on a Macintosh running Mac OS X is in principle very similar to Python onany other Unix platform, but there are a number of additional features such asthe IDE and the Package Manager that are worth pointing out.

4.1. Getting and Installing MacPython¶

Python Modules Mac

Python Software Foundation. The mission of the Python Software Foundation is to promote, protect, and advance the Python programming language, and to support and facilitate the growth of a diverse and international community of Python programmers. Become a Member Donate to the PSF. I'm using OS X El Capitan (10.11.4). I just downloaded TensorFlow using the pip install instructions here. Everything went pretty smoothly, though I did get a few warning messages like: The dire. Actually, assuming you're still using the default 2.5.x Python that comes with OS X (at least as of 10.5.6), there's a pre-built installer package for it (download the dmg for PIL). Most of the OS X APIs that these modules use are deprecated or removed in recent versions of OS X. Many are not available when Python is executing in 64-bit mode. These modules have been removed in Python 3. You should avoid using them in Python 2. Ic — Access to the Mac OS X Internet Config 37.1.1.

Mac OS X 10.8 comes with Python 2.7 pre-installed by Apple. If you wish, youare invited to install the most recent version of Python 3 from the Pythonwebsite (https://www.python.org). A current “universal binary” build of Python,which runs natively on the Mac’s new Intel and legacy PPC CPU’s, is availablethere.

How to delete library on mac. Despite the fact that Apple keeps the Mac Library folder hidden from users, it’s good to learn how to show the Library folder on Mac.

What you get after installing is a number of things:

• A Python3.8 folder in your Applications folder. In hereyou find IDLE, the development environment that is a standard part of officialPython distributions; PythonLauncher, which handles double-clicking Pythonscripts from the Finder; and the “Build Applet” tool, which allows you topackage Python scripts as standalone applications on your system.

• A framework /Library/Frameworks/Python.framework, which includes thePython executable and libraries. The installer adds this location to your shellpath. To uninstall MacPython, you can simply remove these three things. Asymlink to the Python executable is placed in /usr/local/bin/.

The Apple-provided build of Python is installed in/System/Library/Frameworks/Python.framework and /usr/bin/python,respectively. You should never modify or delete these, as they areApple-controlled and are used by Apple- or third-party software. Remember thatif you choose to install a newer Python version from python.org, you will havetwo different but functional Python installations on your computer, so it willbe important that your paths and usages are consistent with what you want to do.

IDLE includes a help menu that allows you to access Python documentation. If youare completely new to Python you should start reading the tutorial introductionin that document.

If you are familiar with Python on other Unix platforms you should read thesection on running Python scripts from the Unix shell.

4.1.1. How to run a Python script¶

Your best way to get started with Python on Mac OS X is through the IDLEintegrated development environment, see section The IDE and use the Help menuwhen the IDE is running.

Python Library Manual

If you want to run Python scripts from the Terminal window command line or fromthe Finder you first need an editor to create your script. Mac OS X comes with anumber of standard Unix command line editors, vim andemacs among them. If you want a more Mac-like editor,BBEdit or TextWrangler from Bare Bones Software (seehttp://www.barebones.com/products/bbedit/index.html) are good choices, as isTextMate (see https://macromates.com/). Other editors includeGvim (http://macvim-dev.github.io/macvim/) and Aquamacs(http://aquamacs.org/).

To run your script from the Terminal window you must make sure that/usr/local/bin is in your shell search path.

To run your script from the Finder you have two options:

• Drag it to PythonLauncher

• Select PythonLauncher as the default application to open yourscript (or any .py script) through the finder Info window and double-click it.PythonLauncher has various preferences to control how your script islaunched. Option-dragging allows you to change these for one invocation, or useits Preferences menu to change things globally.

4.1.2. Running scripts with a GUI¶

With older versions of Python, there is one Mac OS X quirk that you need to beaware of: programs that talk to the Aqua window manager (in other words,anything that has a GUI) need to be run in a special way. Use pythonwinstead of python to start such scripts.

With Python 3.8, you can use either python or pythonw.

4.1.3. Configuration¶

Python on OS X honors all standard Unix environment variables such asPYTHONPATH, but setting these variables for programs started from theFinder is non-standard as the Finder does not read your .profile or.cshrc at startup. You need to create a file~/.MacOSX/environment.plist. See Apple’s Technical Document QA1067 fordetails.

For more information on installation Python packages in MacPython, see sectionInstalling Additional Python Packages.

4.2. The IDE¶

MacPython ships with the standard IDLE development environment. A goodintroduction to using IDLE can be found athttp://www.hashcollision.org/hkn/python/idle_intro/index.html.

4.3. Installing Additional Python Packages¶

There are several methods to install additional Python packages:

• Packages can be installed via the standard Python distutils mode (pythonsetup.pyinstall).

• Many packages can also be installed via the setuptools extensionor pip wrapper, see https://pip.pypa.io/.

4.4. GUI Programming on the Mac¶

There are several options for building GUI applications on the Mac with Python.

PyObjC is a Python binding to Apple’s Objective-C/Cocoa framework, which isthe foundation of most modern Mac development. Information on PyObjC isavailable from https://pypi.org/project/pyobjc/.

The standard Python GUI toolkit is tkinter, based on the cross-platformTk toolkit (https://www.tcl.tk). An Aqua-native version of Tk is bundled with OSX by Apple, and the latest version can be downloaded and installed fromhttps://www.activestate.com; it can also be built from source.

wxPython is another popular cross-platform GUI toolkit that runs natively onMac OS X. Packages and documentation are available from https://www.wxpython.org.

PyQt is another popular cross-platform GUI toolkit that runs natively on MacOS X. More information can be found athttps://riverbankcomputing.com/software/pyqt/intro.

4.5. Distributing Python Applications on the Mac¶

The “Build Applet” tool that is placed in the MacPython 3.6 folder is fine forpackaging small Python scripts on your own machine to run as a standard Macapplication. This tool, however, is not robust enough to distribute Pythonapplications to other users.

The standard tool for deploying standalone Python applications on the Mac ispy2app. More information on installing and using py2app can be foundat http://undefined.org/python/#py2app.

4.6. Other Resources¶

The MacPython mailing list is an excellent support resource for Python users anddevelopers on the Mac:

Another useful resource is the MacPython wiki:

Released:

Python-tesseract is a python wrapper for Google's Tesseract-OCR

Project description

Python-tesseract is an optical character recognition (OCR) tool for python.That is, it will recognize and “read” the text embedded in images.

Python-tesseract is a wrapper for Google’s Tesseract-OCR Engine.It is also useful as a stand-alone invocation script to tesseract, as it can read all image typessupported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff,and others. Additionally, if used as a script, Python-tesseract will print the recognizedtext instead of writing it to a file.

USAGE

Quickstart

Note: Test images are located in the tests/data folder of the Git repo.

Library usage:

Support for OpenCV image/NumPy array objects

If you need custom configuration like oem/psm, use the config keyword.

Add the following config, if you have tessdata error like: “Error opening data file…”

Functions

• get_tesseract_version Returns the Tesseract version installed in the system.
• image_to_string Returns the result of a Tesseract OCR run on the image to string
• image_to_boxes Returns result containing recognized characters and their box boundaries
• image_to_data Returns result containing box boundaries, confidences, and other information. Requires Tesseract 3.05+. For more information, please check the Tesseract TSV documentation
• image_to_osd Returns result containing information about orientation and script detection.
• run_and_get_output Returns the raw output from Tesseract OCR. Gives a bit more control over the parameters that are sent to tesseract.

Parameters

image_to_data(image, lang=None, config=', nice=0, output_type=Output.STRING, timeout=0, pandas_config=None)

• image Object or String - PIL Image/NumPy array or file path of the image to be processed by Tesseract. If you pass object instead of file path, pytesseract will implicitly convert the image to RGB mode.
• lang String - Tesseract language code string. Defaults to eng if not specified! Example for multiple languages: lang='eng+fra'
• config String - Any additional custom configuration flags that are not available via the pytesseract function. For example: config='--psm 6'
• nice Integer - modifies the processor priority for the Tesseract run. Not supported on Windows. Nice adjusts the niceness of unix-like processes.
• output_type Class attribute - specifies the type of the output, defaults to string. For the full list of all supported types, please check the definition of pytesseract.Output class.
• timeout Integer or Float - duration in seconds for the OCR processing, after which, pytesseract will terminate and raise RuntimeError.
• pandas_config Dict - only for the Output.DATAFRAME type. Dictionary with custom arguments for pandas.read_csv. Allows you to customize the output of image_to_data.

CLI usage:

INSTALLATION

Prerequisites:

• Python-tesseract requires Python 2.7 or Python 3.5+

• You will need the Python Imaging Library (PIL) (or the Pillow fork).Under Debian/Ubuntu, this is the package python-imaging or python3-imaging.

• Install Google Tesseract OCR(additional info how to install the engine on Linux, Mac OSX and Windows).You must be able to invoke the tesseract command as tesseract. If thisisn’t the case, for example because tesseract isn’t in your PATH, you willhave to change the “tesseract_cmd” variable pytesseract.pytesseract.tesseract_cmd.Under Debian/Ubuntu you can use the package tesseract-ocr.For Mac OS users. please install homebrew package tesseract.

  Note: Make sure that you also have installed tessconfigs and configs from tesseract-ocr/tessconfigs or via the OS package manager.

Check the pytesseract package page for more information.

TESTING

To run this project’s test suite, install and run tox. Ensure that you have tesseractinstalled and in your PATH.

LICENSE

Check the LICENSE file included in the Python-tesseract repository/distribution.As of Python-tesseract 0.3.1 the license is Apache License Version 2.0

CONTRIBUTORS

• Originally written by Samuel Hoffstaetter

Release historyRelease notifications

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