how to run python program in windows which ide can run without installing

• The webpage has no information on how to run a Python program in Windows without installing an IDE.
• The webpage does contain information on the advantages and disadvantages of Python, and how different programming languages excel in different tasks.
  • C and C++ are suited for lower level programming due to manual memory management and are one of the fastest languages. They are used for real-time systems and resulting programs need only a single .exe file, no extra dependencies necessary. The backbone of Linux and Windows kernels and most web servers are written in C/C++.
  • Interpreted languages are the opposite of C/C++ and offer no memory management, resulting in much slower programs than the compiled solutions. They are great for scripting and are perfect for events as they are driven with Lua/Ruby/Python.
  • There are also languages excelling at specific tasks like LabView for R&D and technology sector. They offer seamless integration between totally different kinds of devices and drivers without requiring an understanding of how FPGA/Asics/Realtime systems work.
  • Functional programming is a paradigm that operates differently from OOP, with no side effects. Haskell and Scala are popular examples that make code readable and predictable.
  • C# and Java are two languages that work through virtual machines and compile via JIT, combining decent performance with huge standard libraries. They are also popular for mobile devices, especially Java.
• While Python can do everything, it is not great at anything and can be slower in performance than other languages.
• Python is less optimized than other languages, so while it is easy for hobby level and script type applications, it isn’t the greatest for production level.
• The main Python interpreter is much slower than the code generated by the compilers of other languages, so if speed is a concern, Python may not be the best choice.
• Certain types of code, like those with matrices, just look a lot worse in Python than in other languages, affecting readability and interpretability. In many cases, Python can’t do things as neatly as other languages.
• Python is often used as ‘glue’ for scripting tasks, while the heavy lifting is done by libraries like NumPy, mostly written in C.

• Relevant Info from Webpage:

  • Google Colab has some time limits and you cannot use it all the time without interruptions.

  • You get a new VM per session, so you often need to reinstall software or use workarounds if possible.

  • Terminal commands can be executed in code cells by starting the line with an exclamation mark, for example, !python myscript.py.

  • There are already some preinstalled software.

  • It is good for making something with lots of dependencies that you want someone else to be able to use.

  • Limits are about 12-hour runtimes, 100 GB local disk, local VM disk gets reset every session.

  • If you are not going to use Colab Pro, do not bother with Google Colab because it has some limitations.

  • CPU runtimes are not as fast as a laptop with an i7 7700HQ.

  • It is free to use and comes already configured for deep learning experiments.

  • Only bother with it if you have literally no other choice.

• The webpage is about running Google Colab Notebooks completely locally and offline for Windows, just like locally served Jupyter notebooks.

  • Google Colab may not be (or remain) open source.

  • To install Google Colab, use the following commands:

    • git clone https://github.com/googlecolab/colabtools.git

    • cd colabtools

    • python setup.py install

    • Then check if it is installed with: pip list | grep colab.

    • An alternative method is to generate a wheel by: python setup.py bdist_wheel

  • Additionally, Google Colab can be connected to Jupyter running on a local machine by following the instructions on this webpage: https://research.google.com/colaboratory/local-runtimes.html.

    • Installing the jupyter_http_over_ws extension will allow it.

• None.

• Use your own machine with Python installed to learn Python
  • Get a proper IDE like Atom
    • Atom is a text editor, not an IDE
    • Atom requires plugins to do the same things that IDEs like Pycharm do out-of-the-box
  • Repl.it is great for small scripts or testing, but should not be your only Python environment
    • It has a limit on the number of times per day you can run code on the free tier
    • It’s locked down
    • It has no proper debugger, but everything else runs fine
  • Repl.it runs Python 3 and has many modules installed
  • Repl.it is a flexible and versatile web-based coding platform, but not a replacement for a good desktop IDE.

• Onlinegdb.com:
  • URL: http://www.onlinegdb.com
  • Provides an online IDE with compiler and debugger
    • For C/C++ programming languages
  • Can be used in the cloud or offline mode
  • It allows users to debug their program online using gdb commandline
  • Has basic GUI support, including:
    • Set/unset and enable/disable breakpoint
    • Call stack window
    • Local variables
    • Display expressions
  • Useful for small projects and debugging
  • One user provided a scenario where Onlinegdb.com was useful for finding program bugs causing segmentation faults
• None (no relevant information found for Python programming language in Windows without installing IDE)

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What are the alternatives to downloading Python on the computer?

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What are the advantages and disadvantages of running a Python program from the terminal?

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What languages does onlinegdb.com support?

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What features does deepnote.com offer?

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What is the pricing structure for R studio cloud?

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What are the limitations of Google colab?

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What features does repl.it offer?

• Reasons for running Python programs from the terminal instead of from an IDE:
  • Preference.
  • Running from terminal is faster and uses less memory.
  • People use the terminal for other things and are just used to running stuff from it.
  • Some people don’t like IDEs and just prefer to have something lightweight like a text editor and terminal.
  • IDEs can sometimes suppress or summarize error output, which can be problematic in a pedagogical context, or when doing final testing.
  • Running from the CLI ensures that nothing in the IDE’s Python environment is masking or creating errors.
  • Better control and the ability to use vim commands for development.
  • Access to more utilities and a larger window for output.
  • Easier and requires less setup.
  • For server and cloud automation, people tend to use a combination of Sublime and PowerShell or use an IDE like VS Code.
  • Using the terminal helps understand virtualenvs.
  • Minimal tooling like vim, cli, command-line git, and command-line debuggers are used to rapidly change languages without changing tooling.
• Some people prefer IDE’s to write code and run the code through the terminal once written.
• Reasons for preferring IDEs:
  • IDEs contain a lot of shortcuts that increase productivity.
  • It is easier to debug in IDEs.
  • Easy to navigate through projects/files/folders.
  • They provide interactive shell for experimenting with code on the fly.
  • Easier to use with certain large and complex projects.
• Using a terminal to run Python programs is preferred because it is how the program will be run in production and to ensure that nothing in the IDE’s Python environment is causing errors.
• It is necessary to understand the command line if you ever want to deploy the application to a remote server, making CLI competency a big deal in employability. (None)

• The user needs to run a Python project on a school computer without Python installed and without an internet connection.
  • Copy-pasting the project’s virtual environment is not possible due to the venv’s structures and username-specific information.
  • Py2Exe can generate an executable file that runs without Python or the dependent packages, but the Microsoft Visual C++ dependencies might not be present in the Windows 7 school computer.
  • Docker is not familiar to the user.
• Possible solutions:
  • Use an online IDE and Python Interpreter if internet is available. Suggested option is replit.
  • Use a Windows embeddable package, which is a portable version of Python. These packages are available in the official website.
  • Use PyInstaller to generate an executable (.exe) file that runs without installation.
  • Use WinPython distribution, which is portable and comes with pre-installed tools and packages.
  • Use conda-pack tool to move a Windows Python project from the source machine to the target machine without internet connection. It involves exporting the project to a zip file and unpacking it to the target machine.
• Note that Windows 7 only supports Python up to version 3.8. Version 3.9 is only supported on Windows 10 and will fail to run without error messages on Windows 7.
• Auto-py-to-exe can convert a .py file to a .exe file that can run anywhere, without the need for Python or PyCharm installation.

• Query:
  • “how to run python program in windows which ide can run without installing”
• Relevant webpage found
  • Title: “Run python program without ‘python’ in Windows”
  • Main question: How to run a Python program as an executable without the ‘python’ word at the beginning?
  • Script file name: simple_prog.py
  • Script content:

        #!C:\Python27\python.exe
    
        print "Hello World"
        ```

  • Problem: When running the script as ‘python simple_prog.py’, output is printed but without ‘python’, nothing is printed.
  • Referral to stackoverflow for solution: “How do I make Python scripts executable?” section in the site https://docs.python.org/3/faq/windows.html#id3.
  • Solution found:
    • Set up Python on Windows to not type python in cmd
    • Example command used: assoc .py=Python
      • Replaced the previous association .py=txtfile
    • Example command used: ftype Python="C:\Python27\python.exe" "%1" %*
      • Added quotes around "%1" %*
    • Update PATHEXT variable by adding .PY to it

          > set PATHEXT=%PATHEXT%;.PY
          ```

  • Commands and their explanations provided in the webpage’s “Update” section.

• Websites to run Python without installing:
  • pythonanywhere.com
  • repl.it
  • Kaggle.com (for data science type coding with pandas, numpy, and matplotlib already included)
  • Google colab (with option to install libraries, limited use of gpu and tpu resources, and intellisense)
  • R studio cloud (for Python and collaboration)
  • deepnote.com
  • onlinegdb.com
  • w3schools.com (Python tutorial with web code interpreter)
  • Pythontutor.com
  • programiz.com
  • VSCode.dev
• Alternatives to downloading Python on the computer:
  • Running Python on a mobile device
  • Raspberry Pi (or alternative) to own a computer affordably

None

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What is the best IDE to run Python programs in Windows without installing?