distribute python application without source

Ray is a fast, simple distributed execution framework that makes it easy to scale your applications and to leverage state of the art machine learning libraries. There are two similarities to what most people are expecting; there are also two differences. I'm writing a script in python using Rhino Python Editor and I would like to distribute it to my customers who are using both Windows and Mac versions of Rhino. The first and simpler . Applications such as 'Dropbox', 'Eve Online', 'Civilization IV', and BitTorrent clients do this. Using Ray, you can take Python code that runs sequentially and transform it into a distributed application with minimal code changes. Some familiarity with Python packaging is recommended. A "built distribution" is what you're probably used to thinking of either as a "binary package" or an "installer" (depending on your background). That, and the fact that most code can be decompiled to some degree, would urge me to rethink your use case. In the end will be able to pack and distribute Python apps for windows desktop in an easy way. This is great if you want to distribute applications to users who may or may not be Python developers. For instance the unmaintained-but-seminal PIL distribution provides the PIL package, and so does Pillow, an actively-maintained fork of PIL!. pip) are distributed using a utility dedicated to do the job. Python and PyPI support multiple distributions providing different implementations of the same package. All relevant application code is stored within the bootstrap package (which is the bootstrap/ directory containing the __init__.py file). An Introduction to Distutils. It is open-source and you can freely use & distribute Python, even for commercial use. I'm new to Rhino and Python. How can we build a distributed Python app without starting from scratch? Some people still think Python is just a script language or it works only for web development through frameworks, but it's not. This Python packaging superpower makes it possible for Pillow to be a drop-in replacement for PIL, just by changing your project's install . Enter the open source distributed execution library Ray. Ray is a fast, simple distributed execution framework that makes it easy to scale your applications and to leverage state of the art machine learning libraries. The goal of this tutorial is to explore how to get started with Ray as well as some common trade-offs . Note. The advantage of distributing this way is that your application . Container image (Docker, Singularity) Container systems like Docker and Singularity let you distribute a complete, isolated filesystem, everything you need to run the application. all C source files mentioned in the ext_modules or libraries options. Distribute packages, package management and deploy applications. I had a look at distutils, but this looks like it installs a program into the Python directory, which isn't usual on non-linux platforms. I'm new to Rhino and Python. You can write your script locally and distribute it to other machines with the Python interpreter. But I would not like to expose the source code to them. Companies such as Google apparently use Python and yet have no difficulty in concealing their source code from outsiders. Also, if a distribution releases a new security update for Python, then your application will automatically start . 1.1. You will however have to distribute the executable somehow. As such, everything is included, from C libraries to Python interpreter to your code to your dependencies. pex is an expansion upon the ideas outlined in PEP 441 and makes the deployment of Python applications as simple as cp.pex files may even include multiple platform-specific Python distributions, meaning that a single pex file can be portable across . Python app file structure 1.scripts - all executable scripts that end user could run 2.static - static files such as .css and .js files 3.templates - html templates 4.Dockerfile - a text . So the application should be stand-alone and self-contained (with or without the python interpreter is fine, preferably with), but users should be able to make small changes to the code and rerun the application. It can be compiled and it can be shipped without source code, turned into a commercial application. Distributing your application. I'm thinking of something like py2exe/py2app, but without copying the python interpreter / modules into the application where one has only one executable. pex is a library for generating .pex (Python EXecutable) files which are executable Python environments in the spirit of virtualenvs. You will however have to distribute the executable somehow. All Python libraries (i.e. Note. Perhaps the most reliable way of concealing source code is not to distribute your programs at all. The person who produces a codegame is the creator. 1. 1. For Linux Distributions¶. "When I said I wanted portable Python, this is NOT what I meant!" In theory, Python is a portable language. Files for distribute, version 0.7.3; Filename, size File type Python version Upload date Hashes; Filename, size distribute-0.7.3.zip (145.4 kB) File type Source Python version None Upload date Jul 5, 2013 Hashes View Kivy Interactive Applications In Python 1/7 [PDF] Kivy Interactive Applications In Python Kivy - Interactive Applications and Games in Python Second Edition-Roberto Ulloa 2015-06-19 If you are a Python developer who wants to create exciting and dynamic UI/UX applications that are compatible with multiple platforms, then this is the book for you. For Python, large aspects of this problem space are more or less solved if you are distributing open source Python libraries and your target audience is developers (use pip and PyPI).But if you are distributing Python applications - standalone executables that use Python - your world can be much more . search and install) as they work these resources which are actually called Python distributions. Alternatively, view py2app alternatives based on common mentions on social networks and blog In this post we will cover what a distributed system is, the pros and cons of distributed systems, and the basics of building distributed systems in Python using Ray. Perhaps the most reliable way of concealing source code is not to distribute your programs at all. "Freezing" your code is creating a single-file executable file to distribute to end-users, that contains all of your application code as well as the Python interpreter. The goal of this tutorial is to explore how to get started with Ray as well as some common trade-offs . Of course GitHub, doesn't just have Python code, it has code in all sorts of libraries. For Linux Distributions¶. As such, everything is included, from C libraries to Python interpreter to your code to your dependencies. This document describes the Python Distribution Utilities ("Distutils") from the module developer's point of view, describing the underlying capabilities that setuptools builds on to allow Python developers to make Python modules and extensions readily available to a wider audience. Installing wheels is substantially faster for the end user than installing from a source distribution. Because a distribution package doesn't include the Python interpreter, it makes the download and install about 2-12 MB smaller than freezing your application. If your project is pure Python then you'll be creating a "Pure Python Wheel" (see section below). Fig. Using Ray, you can take Python code that runs sequentially and transform it into a distributed application with minimal code changes. Specifying the files to distribute¶. Packaging and application distribution is a hard problem on multiple dimensions. This is great if you want to distribute applications to users who may or may not be Python developers. In this step-by-step tutorial, you'll learn how to use PyInstaller to turn your Python application into an executable with no dependencies or installation required. Sometimes there are complications in packaging if you are using newer Python versions. application packages) that you download using a package manager (e.g. In practice, things can go wrong for a variety of reasons. These utilities create "Python distributions" which are basically versioned (and compressed) archives. Creating a Linux distro package is arguably the "right way" to distribute code on Linux. We needed a Python interpreter that can be shipped everywhere. Python and PyPI support multiple distributions providing different implementations of the same package. A wheel is a built package that can be installed without needing to go through the "build" process. For starters we have the Python interpreter itself. Applications such as 'Dropbox', 'Eve Online', 'Civilization IV', and BitTorrent clients do this. But I would not like to expose the source code to them. This chapter discusses how these actions are achieved. If you were to distribute your source code to other people you would need to provide them with the instructions necessary to download and install Python and PyQt before they could run your program. If you don't supply an explicit list of files (or instructions on how to generate one), the sdist command puts a minimal default set into the source distribution:. "Freezing" your code is creating a single-file executable file to distribute to end-users, that contains all of your application code as well as the Python interpreter. Python Package Index - PyPI) and perform a desired action (e.g. The Codegame Platform is a Python desktop application to create, distribute, discover, and run codegames.. A codegame is a serious game made of levels written in Litemark, a lightweight Markdown dialect.. A level is typically a hypertext that gratifies intellectual curiosity, with an embedded programming problem to solve. You won't believe what happened next! Python is an interpreted language. Designed to use a pre-installed Python interpreter, it leverages the standard built for Python Zip Applications outlined in PEP-441. Thanks, Kentaroh Container image (Docker, Singularity) Container systems like Docker and Singularity let you distribute a complete, isolated filesystem, everything you need to run the application. Companies such as Google apparently use Python and yet have no difficulty in concealing their source code from outsiders. It's not necessarily binary, though, because it might contain only Python source code and/or byte-code; and we don't call it a package, because that word is already spoken for in Python. If it's an open source library, GitHub is usually a good place to host your code (if's a closed source project, you could potentially use a private repo, if you're willing to share the code with a small number of clients). In two dimensional stress analysis, Mohr's circle is a graphical representation of the stress state of a point in a body under static equilibrium. Overview. Since Python 2.6, the interpreter has the ability to execute directories or zip-format archives as scripts. 4.1. If your project is pure Python then you'll be creating a "Pure Python Wheel" (see section below). In this post, we will see how to deploy Python API from cloud source repositories and build with cloud build. Python Source Code Obfuscators Installing wheels is substantially faster for the end user than installing from a source distribution. 6. Hi, This is my first post. bootstrap-runner.py is just a simple wrapper script that allows for direct execution of the command line application from the source directory, without the need to 'install' the application. I had a look at distutils, but this looks like it installs a program into the Python directory, which isn't usual on non-linux platforms. Except I would like to distribute the source code of my application as well. I'm writing a script in python using Rhino Python Editor and I would like to distribute it to my customers who are using both Windows and Mac versions of Rhino. Hi, This is my first post. It's not necessarily binary, though, because it might contain only Python source code and/or byte-code; and we don't call it a package, because that word is already spoken for in Python. 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