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I am developing a paid application in Python. I do not want the users to see the source code or decompile it. How can I accomplish this task of hiding the source code from the user, but running the code perfectly with the same performance?
You may distribute the compiled .pyc files which is a byte code that the Python interpreter compiles your .py files to.
More info on this found here on stackoverflow.
How to compile all your project files.
This will somewhat hide your actual code into bytecode, but it can be disassembled. To prevent from disassembling you need to use obfuscation. Pyarmor might be something you're looking for.
You will definitely see the code if you're running it as a Python file. Maybe try using pyinstaller to make a executable binary for the respective Operating System that you're building for.
The best way would be to turn your python code into an executable file.
When u take a look here, there is a nice Tutorial on how to do it:
Install pyinstall via pip3 install pyinstaller
Pack your excecutable with pyinstaller main.py
There is a lot of options to tweak the output of your application, the docs can be found under https://pyinstaller.org/en/stable/
I use Notepad++ for writing and running Python scripts. It is a great text editor, except for debugging. Is there a way to step through the code, use break points, view variable values etc. in Notepad++ like you can in Visual Studio?
Does such a plug-in exist? Not that I know of. I agree completely with qor72 on that note.
Is it possible to create such a plugin / functionality? Possibly.
After doing some quick digging, I did find a plugin that looks promising, Python Script. In short it allows you to run python scripts that can access the NPP modules (file menus etc...) as well as the Scintilla Methods which appear to give access to things like the markers on the pages.
To accomplish such a feat I could see the task being broken into a few large blocks (I feel a new open-source project coming on...)
Using Python Script, integrate the python debugger(PDB) as mentioned by Shashi.
Using the Scintilla Methods, add trace back calls where a NPP marker is placed
Redirect PDB outputs and process them to show where the file is stopped (again using the Scintilla methods).
While at the newly created breakpoint and using PDB determine all of the variables in the current namespace. Take this info and dump it to a CMD window, or if you want to get fancy some GUI created with Tk / wxPython
Closing Thoughts
While I think it's possible to create such a plug in, it would be quite an undertaking. Along that line, you might be better off trying to find a different editor that has this built into it already and just create macros (or whatever the IDE calls them) to add in the things you like most about NPP.
Please note that I am a daily user of NPP and have been for many years so I definitely understand why you'd like to have the functionally added to NPP. One of my favorite things about NPP is the speed in which it opens and searches files... moving to a bloated IDE, IMO, would not be worth it to me.
My current work flow is to do all of my editing in NPP and just double click to run the modules. If it fails or goes off in the weeds, I launch IDLE to debug it.
I really hope someone tells me I'm wrong (I'd love to have that feature in Notepad++) but, Notepad++ is designed as a programmers editor, not an IDE. While it has a lot of cool functionality, that level of debugging isn't part of the core tool.
Not seeing anything in the npp-plugins either.
I think python debugger
is the best option if editor is not providing facility :)
Quick guide:
from pdb import set_trace as bp
code
code
bp()
code
code
At the (Pdb) prompt, enter s to step, p foo to print foo, and c to continue executing the code until hitting another breakpoint.
Have you thought of using Komodo.
It's open source and has ports for Windows, Linux and MAC (I think).
This may be an alternative, and if you want some advice from notepad++ users, have a look at the following post on this very site:
Komodo Edit and Notepad++ ::: Pros & Cons ::: Python dev
Some npp users here seemed to have made the switch for python editing running etc...
personally don't know much about debugging on Komodo but as it's an IDE so would be surprised if you couldn't do it easily
I don't really see why Shashi's answer hasn't been upvoted. For the link that he has given supplies a way to step through python scripts as the OP has requested.
So for all who don't know about the pdb module, upon importing it the pdb.set_trace() function allows one to step through the area of code after it. And it is very much similar to the visual studios method of debugging. While you're stepping through the code you are able to input a variety of commands.
One of them is p <expression> and that allows the user to print the current state of variables within the local and global scope.
I know it's 11 years on, and I'm a bit late to the game, and I know it's not Notepad++ but please do consider Visual Studio Code.
It's free, easy to install (both the editor itself plus any python interpreters it uses) and it's widely used and nowhere near as bloated as it's Visual Studio counterpart. It also appears to be the IDE of choice for a lot of Cisco-related course material.
Write your code, click to the left of code pane to insert your breakpoints click the Debugger icon (highlighted), and you're away:
I want to create a GUI application which should work on Windows and Mac. For this I've chosen Python.
The problem is on Mac OS X.
There are 2 tools to generate an ".app" for Mac: py2app and pyinstaller.
py2app is pretty good, but it adds the source code in the package. I
don't want to share the code with the final users.
Pyinstaller generates UNIX executable, so how to run it on Mac? I
created a bundles with this executable, but the resulted ".app" is
not working.
The questions are:
How to configure py2app to include the source code in the
executable, so the final users will not have access to my program?
How to convert UNIX executable to Mac ".app" ?
Is there a way to compile Python code with GCC ?
In Windows it's easy, I created an "exe" file from Python code and
it works. Is it possible to create a single file "app" for Mac ?
P.S. I use two computers (Windows and for Mac), Python 2.7, wxPython, py2exe, py2app and pyinstaller.
Also, I have checked out these sites:
http://svn.pythonmac.org/py2app/py2app/trunk/doc/index.html
http://www.pyinstaller.org/export/develop/project/doc/Manual.html?format=raw
http://www.pyinstaller.org/wiki/Features/MacOsCompatibility
http://www.stackoverflow.com/questions/2933/an-executable-python-app
How to configure py2app to include the source code in the executable,
so the final users will not have access to my program?
Unless you very seriously hack the python interpreter (and include the mangled version) there is no really good way to hide the source from a moderately skilled and determined user. I strongly believe this is true on Windows also. Basically, whether you include true source or bytecode, a pretty clean version of the source can be recovered. More importantly, in my opinion, unless you include the actual source code (as opposed to bytecode, you will introduce a possible dependency on the interpreter version).
How to convert UNIX executable to Mac ".app" ?
What do you mean by a UNIX executable? A Darwin (OS X) binary [which isn't actually UNIX]? That can be done using the kinds of tools you already mentioned, but it must be done carefully to avoid library dependencies.
If all you want it a simple wrapper to put a command-line binary into a window, it's pretty easy to accomplish and the free XCode suite has several examples that would serve (depending on what output
you wan to deliver, if any).
Is there a way to compile Python code with GCC ?
GCC does not compile Python. It's a different language (although there tools in the gcc family rthat support multiple language front-ends, but not Python). There are tools that attempt to translate Python into C, and then you can compile that into a true binary, but this only works for programs that avoid certain types of construct, and the process (and restrictions) need to apply your libraries as well.
One project to allow this is Cython. It works well for some types
of code, mostly numerical code, but it is not trivial to install and
exploit, very especially if you want to produce something that runs on multiple
different computers.
In Windows it's easy, I created an "exe" file from Python code and it
works. Is it possible to create a single file "app" for Mac ?
I would have to say I am skeptical -- very skeptical -- about this. Just like the OS X case, the exe almost certainly has the source code trivially accessible within it.
One fairly easy trick is to encrypt the source code and then decrypt it on the fly, but this
seems to me like more trouble than it's worth.
PyInstaller will automatically create bundles under Mac OSX for windowed executables. When running ypinstaller.py, make sure to pass the option "--windowed".
This feature is documented in the website of pyinstaller
If you're not completely committed to wxPython (and for anyone else looking for a cross platform Python GUI framework), I recommend you check out Kivy. It's cross platform, GPU accelerated, and it will do the app packaging for you. It's easy to jump into, has a well thought-out architecture, and gives you an incredible amount of flexibility in terms of the interface. It's the best way I've found to make a cross platform Python GUI app.
cxFreeze was the choice.
I use it pack my python program to a Mac OS X app. Which works like a charm.
Automator was already mentioned as a quick and simple solution for Pythons scripts that are contained in a single file, but since the Automator UI has so many options, and it is not obvious how to actually do it, I'll provide step-by-step instructions (verified to work on Yosemite):
In Automator select File > New and pick Application as document type.
Next, make sure Actions tab is selected on the left, and then in the search box type run. Among other options you'll see Run Shell Script — doubleclick it, and an editor window will appear in the right panel.
From the Shell dropdown menu select /usr/bin/python.
Paste your Python code into the edit window and then pick File > Save.
By default, the app will be saved under $HOME/Applications and will appear in Spotlight.
If you want to be able to set your own icon and have some fancy features, like task bar icons with a menu, log windows etc, then have a look at Platypus — an open-source app for creating MacOS native bundles.
2: You can't "convert" it, but you can move the executable to App.app/Contents/MacOS/something in a .app file, with CFBundleExecutable set to "something". This would not generally be recommended.
A motivated person could probably reconstruct usable source code from the Python bytecode in your app, so you might reconsider your opposition to py2app. If you don't trust your final users, why are you doing business with them?
Having used py2exe for windows users so they wouldn't have to deal with library versions, I've torn apart the compiled programs, they include the python bytecode files. While you can make it a violation of the license to look inside those, the fact is that if a computer can execute them, I can read them. It is possible to compile python programs with gcc, via a C preprocessor (try looking for 2c.py on google), I don't know if any of them support GCC. Again, you don't gain any security through using them, but you can get a significant speed improvement.
I haven't tried it with big Python projects, but for my own scripts, the easiest way I found was to use Automator
You can interactively create an app project with Run Shell Script action, then paste in your script in its editor, select your shell program (/usr/bin/python), finally save the project. And you have yourself a Mac native app.
Automator can also be driven by AppleScript. So you can pipeline this py-2-app conversion process to your build scripts.
I've never tested a GUI program with it so I don't know if you'll be happy with it. But I'd give it a try since you may wonder how well all the cited 3rd-party python modules/applications are maintained, and how long they are gonna last. Coming bundled with OS X, Automator will likely stay, unless Apple got REALLY tired of it.
cxFreeze is best solution available, first create your program or application using python and than make setup file for your application, and than build the app using build command python setup.py build, according to your requirement you need to make some changes.
The only way is py2app. You have no other way. Sorry.
The research you did seems very solid and you did not miss anything.
I wouldn't call myself programmer, but I've started learning Python recently and really enjoy it.
I mainly use it for small tasks so far - scripting, text processing, KML generation and ArcGIS.
From my experience with R (working with excellent Notepad++ and NppToR combo) I usually try to work with my scripts line by line (or region by region) in order to understand what each step of my script is doing.. and to check results on the fly.
My question: is there and IDE (or editor?) for Windows that lets you evaluate single line of Python script?
I have seen quite a lot of discussion regarding IDEs in Python context.. but havent stubled upon this specific question so far.
Thanks for help!
If you like R's layout. I highly recommend trying out Spyder. If you are using windows, try out Python(x,y). It is a package with a few different editors and a lot of common extra modules like scipy and numpy.
The only one I've had success with is Eclipse with Pydev
It's not an IDE, but you can use pdb to debug and step through your Python code. I know Emacs has built in support for it, but not so much about other editors (or IDEs) that will run in Windows.
If you are on Windows, give Pyscripter a try -- it offers comprehensive, step-through debugging, which will let you examine the state of your variables at each step of your code.
PyCharm from JetBrains has a very nice debugger that you can step through code with.
Django and console integration built in.
Rodeo seems to be new contender on the IDE market and the docs indicate that running lines of code is possible. I also have to admit it looks and behaves pretty good so far!
WingIDE, I've been using it successfully for over a year, and very pleased with it.
I use Notepad++ for most of my Windows based Python development and for debugging I use Winpdb. It's a cross platform GUI based debugger. You can actually setup a keyboard shortcut in Notepad++ to launch the debugger on your current script:
To do this go to "Run" -> "Run ..." in the menu and enter the following, making sure the path points to your winpdb_.pyw file:
C:\python26\Scripts\winpdb_.pyw "$(FULL_CURRENT_PATH)"
Then choose "Save..." and pick a shortcut that you wish to use to launch the debugger.
PS: You can also setup a shortcut to execute your python scripts similarly using this string instead:
C:\python26\python.exe "$(FULL_CURRENT_PATH)"
The upcoming RStudio 1.2 is so good that you have to try to write some python with it. 🙌
I would plump for EMACS all round.
If you're looking for a function to run code line by line (or a region if you have one highlighted), try adding this to your .emacs (I'm using python.el and Pymacs):
;; send current line to *Python
(defun my-python-send-region (&optional beg end)
(interactive)
(let ((beg (cond (beg beg)
((region-active-p)
(region-beginning))
(t (line-beginning-position))))
(end (cond (end end)
((region-active-p)
(copy-marker (region-end)))
(t (line-end-position)))))
(python-shell-send-region beg end)))
(add-hook 'python-mode-hook
'(lambda()
(local-set-key [(shift return)] 'my-python-send-region)))
I've bound it to [shift-Return]. This is borrowed from here. There's a similar keybinding for running .R files line by line here. I find both handy.
I like vim-ipython. With it I can <ctrl>+s to run a specific line. Or several lines selected on visual modes. Take a look at this video demo.
Visual Studio and PTVS: http://www.hanselman.com/blog/OneOfMicrosoftsBestKeptSecretsPythonToolsForVisualStudioPTVS.aspx
(There is also a REPL inside VS)
The Pythonwin IDE has a built-in debugger at lets you step through your code, inspect variables, etc.
http://starship.python.net/crew/mhammond/win32/Downloads.html
http://sourceforge.net/projects/pywin32/
The package also includes a bunch of other utility classes and modules that are very useful when writing Python code for Windows (interfacing with COM, etc.).
It's also discussed in the O'Reilly book Python Programming On Win32 by Mark Hammond.
Take the hint: The basic Python Read-Execute-Print-Loop (REPL) must work.
Want Evidence?
Here it is: The IDE's don't offer much of an alternative. If REPL wasn't effective, there's be lots of very cool alternatives. Since REPL is so effective, there are few alternatives.
Note that languages like Java must have a step-by-step debugger because there's no REPL.
Here's the other hint.
If you design your code well, you can import your libraries of functions and classes and exercise them in REPL model. Many, many Python packages are documented by exercising the package at the REPL level and copying the interactions.
The Django documentation -- as one example -- has a lot of interactive sessions that demonstrate how the parts work together at the REPL prompt.
This isn't very GUI. There's little pointing and clicking. But it seems to be effective.
You need to set the keyboard shortcut for "run selection" in
Tools > Preferences > Keyboard shortcuts
Then, select the line and hit the "run selection" shortcut
Light Table was doing that for me, unfortunately it is discontinued:
INLINE EVALUTION No more printing to the console in order to view your
results. Simply evaluate your code and the results will be displayed
inline.
I have used just Windows for programming so far. Now, I have an internship starting in two weeks and I will be using just Linux environment with Python programming language. I've installed Ubuntu on my system but have no exposure to shell scripting.
I need some advice on how I can quickly learn to use the Linux terminal quickly. Any books or web resources that you can suggest?
Also, is there a particular IDE that is generally preferred for Python programming on Linux, or is Vim preferred? How can I best prepare myself for the internship ahead?
Thanks for taking the time.
As an intern you'll want to use the tools your mentor is most comfortable with. If you get stuck you'll be able to ask for advice quickly.
Learning your way around either vi, vim, or emacs to start with will help. The basic concepts used in one will transfer to the other. You'll need to be able to open and read files, search through files, edit and save files, and learn how to apply any python formatting helpers correctly.
You should also familiarize yourself with version control if you haven't already. Again any one will do, you need to focus on concepts and etiquette rather than the specific tool.
The goal of the internship (and really your entire time at university) should be used to learn concepts rather than specific tools. If you learn the concepts you'll be well placed to apply those concepts using any tool. You will also "learn how to learn" a new tool, which is really valuable.
Your lack of shell scripting knowledge shouldn't matter in this case, although it won't be hard to learn. I read over some shell tutorials and put them into practice. Try doing everything from the command line, including find (grep), find/replace all (sed), finding files (find), automating things using python scripts etc. Basically, don't cheat. You'll pick up a lot this way. You'll also probably end up wondering how you ever managed with Windows.
What I use depends on the project. I really like Eclipse+PyDev but that's my personal preference, I also use Vim depending on where I am/what I'm doing. Remember you can just type python from the command line and it drops you into the python environment.
I recommend Eclipse + PyDev too. You can get started quickly with this develop environment. I also recommend the website Dive Into Python. It provides you a online free version of Dive Into Python book, which is very easy to read, easy to understand, and very suitable for Python beginners. If you really want a paper book at hand, Learning Python, a.k.a. The Animal Guide, is simply the best.
Learn to understand man(ual) pages.
For almost any old linux command/program there is a man page which usually explains the command in good detail.
So basics for filesystem navigation:
Show directory contents (list)
ls
Show hidden files
ls -a
Show details
ls -l
Change directory
cd /full/path/name
Print current directory
pwd
Delete a file
rm file
Delete a directory (recursive)
rm -r directoryName
Make a directory
mkdir directoryName
Move (or rename) a file
mv /path/to/file /new/path/to/file
Show the man page for mv
man mv
Learning vim might be necessary, depending on your intern environment. I do my Python (and everything that isn't simple text editing) in Eclipse. You should in any case learn enough to open a file, makes some changes and save the changes in Vim.
Keep in mind, Ubuntu is very easy. To make things harder on yourself, use the command line for every conceivable thing. Open programs by typing their names into a terminal. Browse your files with the terminal. Do simple editing with vim. That should provide good practice for the day you need to SSH into a computer in Neverland and download and install a local copy of your favorite interpreter from source in order to set up a cron job to run a script to play a clock noise.
In addition to the great advice already written, I'd suggest you install IPython (Open a terminal with Applications>Accessories>Terminal and type):
sudo apt-get install ipython
Also at the terminal, you can then type ipython to start the Python interpreter.
Unlike the built in python interpreter, ipython gives you tab completion.
For example, if you type the name of an object followed by a period and TAB (e.g. sys.[TAB]), ipython will show you (almost) all of object's attributes.
Type a question mark after an object name (e.g. sys?), and you get documentation on that object.
This is a great way to explore Python.
have no exposure to shell scripting
Good! You've got Python so hopefully there should be no need to resort to writing actual scripts with the shell. It may be more powerful than DOS batch files, but it's just as ugly.
I need some advice on how I can quickly learn to use the Linux terminal quickly.
Something like this?
As well as learning the commands, you'll want to get used to using tab-completion and arrow key command recall (if you don't already do that with the Windows Command Prompt), scrolling with shift-arrows, and so on. Also useful to know the & (perform in background) command suffix, ctrl-C-to-stop, ctrl-Z-to-pause, jobs, and screen.
Incidentally if you will be spending any amount of time in the interactive Python interpreter it is well worth adding tab completion there, too. (This is just as much the case on Windows, but on Win you tend not to get pyreadline by default.)
is there a particular IDE that is generally preferred for Python programming on Linux
Just like on Windows, there are IDEs available if you want them but many people just use a normal text editor. vim is fine if that's what you like. nano is another in-terminal text editor you usually get that's relatively simple. Ubuntu's default desktop-based editor gedit is also fine. It's a matter of personal taste.
(If you are interning at a particular company they might have their own development environment they'd prefer you to use.)
For a Python IDE, I recommend using either IDLE or Eclipse with PyDev.
Keep in mind you can also just use python on the linux command-line. It supports loading code from files, and if you use two command windows then one of them will be your "REPL" where you will be running python and dynamically loading code - and the other window can run your editor.
Regarding linux command line, I cannot recommend any great resources. However, you will be off to a great start if you immerse yourself in this environment and only use linux for the next 2 weeks. Just keep learning, and when you do not know how to do something, read a manpage or google it to find the answer.
for a very beginner intro to the command line, check out: http://en.flossmanuals.net/CommandLineIntro/GettingStarted
As far as a Python editor goes, I personally prefer to use SciTE. It's just a programmer's text editor with syntax highlighting for various languages. I prefer a lightweight editor over a more complicated environment, but if you want a full-fledged IDE you can always try out NetBeans, IDLE, or Komodo (all of which are available in both Windows and Linux).
as for terminall and quick way to understand it's and learn it there are a nice cheat sheets on net like this:
http://fosswire.com/post/2007/8/unixlinux-command-cheat-sheet/