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• Best Language Program For Adults

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Python is also usable as an extension language for applications that need a programmable interface.The Python implementation is portable: it runs on many brands of UNIX, on Windows, DOS, OS/2, Mac. Best programming languages for coders compared, including Swift, Python, Java, C and Perl. Coding has never been more popular, and learning to program in Mac OS X is a great skill to get. The Python programming environment required by this booksite consists of: Python, that is, the Python compiler/interpreter. The Python standard libraries. IDLE, the Python Integrated DeveLopment Environment. The Tkinter, NumPy, and Pygame libraries, which are used by the booksite programs that do graphics or audio processing. With older versions of Python, there is one Mac OS X quirk that you need to be aware 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 pythonw instead of python to start such scripts. With Python 3.6, you can use either python or pythonw.

Python is a popular programming language that is reliable, flexible, easy to learn, free to use on all operating systems, and supported by both a strong developer community and many free libraries. Python supports all manners of development, including web applications, web services, desktop apps, scripting, and scientific computing, and is used by many universities, scientists, casual developers, and professional developers alike. You can learn more about the language on python.org and Python for Beginners.

Visual Studio is a powerful Python IDE on Windows. Visual Studio provides open-source support for the Python language through the Python Development and Data Science workloads (Visual Studio 2017 and later) and the free Python Tools for Visual Studio extension (Visual Studio 2015 and earlier).

Python is not presently supported in Visual Studio for Mac, but is available on Mac and Linux through Visual Studio Code (see questions and answers).

To get started:

• Follow the installation instructions to set up the Python workload.
• Familiarize yourself with the Python capabilities of Visual Studio through the sections in this article.

• Go through one or more of the Quickstarts to create a project. If you're unsure, start with Create a web app with Flask.

• Go through one or more of the Quickstarts to create a project. If you're unsure, start with Quickstart: Open and run Python code in a folder or Create a web app with Flask.

• Follow the Work with Python in Visual Studio tutorial for a full end-to-end experience.

Note

Visual Studio supports Python version 2.7, as well as version 3.5 and greater. While it is possible to use Visual Studio to edit code written in other versions of Python, those versions are not officially supported and features such as IntelliSense and debugging might not work.

Support for multiple interpreters

Visual Studio's Python Environments window (shown below in a wide, expanded view) gives you a single place to manage all of your global Python environments, conda environments, and virtual environments. Visual Studio automatically detects installations of Python in standard locations, and allows you to configure custom installations. With each environment, you can easily manage packages, open an interactive window for that environment, and access environment folders.

Use the Open interactive window command to run Python interactively within the context of Visual Studio. Use the Open in PowerShell command to open a separate command window in the folder of the selected environment. From that command window you can run any python script.

For more information:

Rich editing, IntelliSense, and code comprehension

Visual Studio provides a first-class Python editor, including syntax coloring, auto-complete across all your code and libraries, code formatting, signature help, refactoring, linting, and type hints. Visual Studio also provides unique features like class view, Go to Definition, Find All References, and code snippets. Direct integration with the Interactive window helps you quickly develop Python code that's already saved in a file.

For more information:

• Docs: Edit Python code
• Docs: Format code
• Docs: Refactor code
• Docs: Use a linter
• General Visual Studio feature docs: Features of the code editor

Interactive window

For every Python environment known to Visual Studio, you can easily open the same interactive (REPL) environment for a Python interpreter directly within Visual Studio, rather than using a separate command prompt. You can easily switch between environments as well. (To open a separate command prompt, select your desired environment in the Python Environments window, then select the Open in PowerShell command as explained earlier under Support for multiple interpreters.)

Visual Studio also provides tight integration between the Python code editor and the Interactive window. The Ctrl+Enter keyboard shortcut conveniently sends the current line of code (or code block) in the editor to the Interactive window, then moves to the next line (or block). Ctrl+Enter lets you easily step through code without having to run the debugger. You can also send selected code to the Interactive window with the same keystroke, and easily paste code from the Interactive window into the editor. Together, these capabilities allow you to work out details for a segment of code in the Interactive window and easily save the results in a file in the editor.

Visual Studio also supports IPython/Jupyter in the REPL, including inline plots, .NET, and Windows Presentation Foundation (WPF).

For more information:

Project system, and project and item templates

Note

Visual Studio 2019 supports opening a folder containing Python code and running that code without creating Visual Studio project and solution files. For more information, see Quickstart: Open and run Python code in a folder. There are, however, benefits to using a project file, as explained in this section.

Visual Studio helps you manage the complexity of a project as it grows over time. A Visual Studio project is much more than a folder structure: it includes an understanding of how different files are used and how they relate to each other. Visual Studio helps you distinguish app code, test code, web pages, JavaScript, build scripts, and so on, which then enable file-appropriate features. A Visual Studio solution, moreover, helps you manage multiple related projects, such as a Python project and a C++ extension project.

Project and item templates automate the process of setting up different types of projects and files, saving you valuable time and relieving you from managing intricate and error-prone details. Visual Studio provides templates for web, Azure, data science, console, and other types of projects, along with templates for files like Python classes, unit tests, Azure web configuration, HTML, and even Django apps.

For more information:

• Docs: Manage Python projects
• Docs: Item templates reference
• Docs: Python project templates
• Docs: Work with C++ and Python
• General Visual Studio feature docs: Project and item templates
• General Visual Studio feature docs: Solutions and projects in Visual Studio

Full-featured debugging

One of Visual Studio's strengths is its powerful debugger. For Python in particular, Visual Studio includes Python/C++ mixed-mode debugging, remote debugging on Linux, debugging within the Interactive window, and debugging Python unit tests.

In Visual Studio 2019, you can run and debug code without having a Visual Studio project file. See Quickstart: Open and run Python code in a folder for an example.

For more information:

• Docs: Debug Python
• Docs: Python/C++ mixed-mode debugging
• Docs: Remote debugging on Linux
• General Visual Studio feature docs: Feature tour of the Visual Studio Debugger

Profiling tools with comprehensive reporting

Profiling explores how time is being spent within your application. Visual Studio supports profiling with CPython-based interpreters and includes the ability to compare performance between different profiling runs.

For more information:

• Docs: Python profiling tools
• General Visual Studio feature docs: Profiling Feature Tour. (Not all Visual Studio profiling features are available for Python).

Unit testing tools

Discover, run, and manage tests in Visual Studio Test Explorer, and easily debug unit tests.

For more information:

• Docs: Unit testing tools for Python
• General Visual Studio feature docs: Unit test your code.

Azure SDK for Python

The Azure libraries for Python simplify consuming Azure services from Windows, Mac OS X, and Linux apps. You can use them to create and manage Azure resources, as well as to connect to Azure services.

For more information, see Azure SDK for Python and Azure libraries for Python.

Questions and answers

Q. Is Python support available with Visual Studio for Mac?

A. Not at this time, but you can up vote the request on Developer Community. The Visual Studio for Mac documentation identifies the current types of development that it does support. In the meantime, Visual Studio Code on Windows, Mac, and Linux works well with Python through available extensions.

Q. What can I use to build UI with Python?

A. The main offering in this area is the Qt Project, with bindings for Python known as PySide (the official binding) (also see PySide downloads) and PyQt. At present, Python support in Visual Studio does not include any specific tools for UI development.

Q. Can a Python project produce a stand-alone executable?

A. Python is generally an interpreted language, with which code is run on demand in a suitable Python-capable environment such as Visual Studio and web servers. Visual Studio itself does not at present provide the means to create a stand-alone executable, which essentially means a program with an embedded Python interpreter. However, the Python community supplied different means to create executables as described on StackOverflow. CPython also supports being embedded within a native application, as described on the blog post, Using CPython's embeddable zip file.

Feature support

Python features can be installed in the following editions of Visual Studio as described in the installation guide:

• Visual Studio 2017 (all editions)
• Visual Studio 2015 (all editions)
• Visual Studio 2013 Community Edition
• Visual Studio 2013 Express for Web, Update 2 or higher
• Visual Studio 2013 Express for Desktop, Update 2 or higher
• Visual Studio 2013 (Pro edition or higher)
• Visual Studio 2012 (Pro edition or higher)
• Visual Studio 2010 SP1 (Pro edition or higher; .NET 4.5 required)

Visual Studio 2015 and earlier are available at visualstudio.microsoft.com/vs/older-downloads/.

Important

Features are fully supported and maintained for only the latest version of Visual Studio. Features are available in older versions but are not actively maintained.

Python support	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Manage multiple interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Auto-detect popular interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Add custom interpreters	✔	✔	✔	✔	✔	✔	✔	✔
Virtual Environments	✔	✔	✔	✔	✔	✔	✔	✔
Pip/Easy Install	✔	✔	✔	✔	✔	✔	✔	✔

Project system	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
New project from existing code	✔	✔	✔	✔	✔	✔	✔	✔
Show all files	✔	✔	✔	✔	✔	✔	✔	✔
Source control	✔	✔	✔	✔	✔	✔	✔	✔
Git integration	✔	✔	✔	✔	✔	✔	✔1	✗

Editing	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Syntax highlighting	✔	✔	✔	✔	✔	✔	✔	✔
Auto-complete	✔	✔	✔	✔	✔	✔	✔	✔
Signature help	✔	✔	✔	✔	✔	✔	✔	✔
Quick info	✔	✔	✔	✔	✔	✔	✔	✔
Object browser/class view	✔	✔	✔	✔	✔	✔	✔	✔
Navigation bar	✔	✔	✔	✔	✔	✔	✔	✔
Go to Definition	✔	✔	✔	✔	✔	✔	✔	✔
Navigate to	✔	✔	✔	✔	✔	✔	✔	✔
Find All References	✔	✔	✔	✔	✔	✔	✔	✔
Auto indentation	✔	✔	✔	✔	✔	✔	✔	✔
Code formatting	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - rename	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - extract method	✔	✔	✔	✔	✔	✔	✔	✔
Refactor - add/remove import	✔	✔	✔	✔	✔	✔	✔	✔
PyLint	✔	✔	✔	✔	✔	✔	✔	✔

Interactive window	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Interactive window	✔	✔	✔	✔	✔	✔	✔	✔
IPython with inline graphs	✔	✔	✔	✔	✔	✔	✔	✔

Desktop	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Console/Windows application	✔	✔	✔	✔	✔	✔	✔	✔
IronPython WPF (with XAML designer)	✔	✔	✔	✔	✔	✔	✔	✔
IronPython Windows Forms	✔	✔	✔	✔	✔	✔	✔	✔

Mac Os X Programming Languages

Web	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Django web project	✔	✔	✔	✗	✔	✔	✔	✔
Bottle web project	✔	✔	✔	✗	✔	✔	✔	✔
Flask web project	✔	✔	✔	✗	✔	✔	✔	✔
Generic web project	✔	✔	✔	✗	✔	✔	✔	✔

Azure	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Deploy to web site	✔	✔	✔	✗	✔	✔	✔	✔2
Deploy to web role	✔	✔	✔	✗	✔4	✔4	✔3	✗
Deploy to worker role	?	?	?	✗	✔4	✔4	✔3	✗
Run in Azure emulator	?	?	?	✗	✔4	✔4	✔3	✗
Remote debugging	✔	✔	✔	✗	✔6	✔8	✔8	✗
Attach Server Explorer	✔	✔	✔	✗	✔7	✔7	✗	✗

Django templates	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Debugging	✔	✔	✔	✗	✔	✔	✔	✔
Auto-complete	✔	✔	✔	✗	✔5	✔5	✔	✔
Auto-complete for CSS and JavaScript	✔	✔	✔	✗	✔5	✔5	✗	✗

Debugging	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Debugging	✔	✔	✔	✔	✔	✔	✔	✔
Debugging without a project	✔	✔	✔	✔	✔	✔	✔	✔
Debugging - attach to editing	✔	✔	✔	✔	✗	✔	✔	✔
Mixed-mode debugging	✔	✔	✔	✔	✔	✔	✔	✗
Remote debugging (Windows, Mac OS X, Linux)	✔	✔	✔	✔	✗	✔	✔	✔
Debug Interactive window	✔	✔	✔	✔	✔	✔	✔	✔

Best Language Program For Adults

Profiling	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Profiling	✔	✔	✔	✗	✗	✔	✔	✔

Test	2017+	2015	2013 Comm	2013 Desktop	2013 Web	2013 Pro+	2012 Pro+	2010 SP1 Pro+
Test explorer	✔	✔	✔	✔	✔	✔	✔	✗
Run test	✔	✔	✔	✔	✔	✔	✔	✗
Debug test	✔	✔	✔	✔	✔	✔	✔	✗

1. Git support for Visual Studio 2012 is available in the Visual Studio Tools for Git extension, available on the Visual Studio Marketplace.

2. Deployment to Azure Web Site requires Azure SDK for .NET 2.1 - Visual Studio 2010 SP1. Later versions don't support Visual Studio 2010.

3. Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2012 or later.

   

4. Support for Azure Web Role and Worker Role requires Azure SDK for .NET 2.3 - VS 2013 or later.

5. Django template editor in Visual Studio 2013 has some known issues that are resolved by installing Update 2.

6. Requires Windows 8 or later. Visual Studio 2013 Express for Web doesn't have the Attach to Process dialog, but Azure Web Site remote debugging is still possible using the Attach Debugger (Python) command in Server Explorer. Remote debugging requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

7. Requires Windows 8 or later. Attach Debugger (Python) command in Server Explorer requires Azure SDK for .NET 2.3 - Visual Studio 2013 or later.

8. Requires Windows 8 or later.

I'm extremely new to programming, in fact I'm trying to learn Python now as a first language. I found that Google has a python course and it said to download python 2 from python's website, which I did, and I now realize that python was already installed on my mac by apple. Anyways, I also had to download some exercises from google, and attempt to run some code in terminal and this is where I'm running into trouble and could really use some insight.

First, the lesson said to simply type, python, into terminal to start coding in python (I don't know if this is the way to say that, or if that just gives you the ability to run python code?)

Then, it said to type in: python hello.py

Which was supposed to return: Hello World

However, all I keep getting is :

SyntaxError: Invalid Syntax

And I don't really know where to go from here, I was thinking maybe it's due to me downloading python again when it was already installed, if it even was?

C-Pound Guru

2 Answers

First, the lesson said to simply type, python, into terminal to start coding in python (I don't know if this is the way to say that, or if that just gives you the ability to run python code?)

What happens when you type a program name into terminal is that it basically executes the program, and if it has a GUI, the GUI window will pop up onto the screen. If it only has a command-line interface (like python) the program will be executed inside the terminal.

In the case of running python, what it does is actually to load a python interpreter inside your terminal. If you notice, the command-line interface would have changed quite a bit (I am on Windows so I am not sure how it looks like exactly on Mac). So instead of something like

at the start of the line, you would have encountered the below instead:

That is actually the python interpreter's command line. You can only execute python codes here.

Then, it said to type in: python hello.py

Which was supposed to return: Hello World

However, all I keep getting is : SyntaxError: Invalid Syntax

I suspect when you are running the command python hello.py, you were still inside the python interpreter program, which is why it return the InvalidSyntax error, because it is not a valid python syntax.

What python hello.py does (if you were to run it in your terminal instead) is to execute the python interpreter, supplying your hello.py file as the code for the interpreter to interpret and execute. So it is as if you run python and entering the codes you wrote inside hello.py into the python interpreter. So,

I was thinking maybe it's due to me downloading python again when it was already installed, if it even was?

nope, it was not. It was because of the reasons I explained above.

Hope it helps!

Edit

A little bit of extra info, to properly exit the python interpreter command line, you can type exit() or quit(). Ctrl+D works too, as a shortcut.

python command will open a Python interpreter, where you can't run the python hello.py command so you got the syntax error (to run hello.py in python shell you need execfile(hello.py)) to quit the Python interpreter, type ctrl+d and than python hello.py to execute your hello world script.

farhawafarhawa

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