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• Python Equivalent Of Microsoft Access For Mac Free
• Python Equivalent Of Microsoft Access For Mac Free
• Microsoft Access Free Download

FileMaker is probably the best known database application for the Mac. It has a feature set comparable to Microsoft Access, but with a strong focus on forms (layouts) as the primary way of accessing databases. Similar to Access, FileMaker stores your database logic and all the data in a single file. Jul 06, 2011  Publisher, Access, Visio, OneNote, FrontPage and Groove do not exist for the Mac. There are Mac programs that will let you do the same things, and in some cases, they can import your Microsoft files. Another option is to run 'Office for Windows' programs in Parallels/VMware the Mac.

Use the Visual Studio debugger to quickly find and fix bugs across languages. The Visual Studio for Mac debugger lets you step inside your code by setting Breakpoints, Step Over statements, Step Into and Out of functions, and inspect the current state of the code stack through powerful visualizations.

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 through 3.7. 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. Python version 3.8 support is still under development, specific details about support can be seen in this tracking issue on GitHub.

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.

Python Equivalent Of Microsoft Access For Mac Free

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 Equivalent Of Microsoft Access For Mac Free

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.

The following is a step-by-step guide for beginners interested in learning Python using Windows 10.

Set up your development environment

For beginners who are new to Python, we recommend you install Python from the Microsoft Store. Installing via the Microsoft Store uses the basic Python3 interpreter, but handles set up of your PATH settings for the current user (avoiding the need for admin access), in addition to providing automatic updates. This is especially helpful if you are in an educational environment or a part of an organization that restricts permissions or administrative access on your machine.

If you are using Python on Windows for web development, we recommend a different set up for your development environment. Rather than installing directly on Windows, we recommend installing and using Python via the Windows Subsystem for Linux. For help, see: Get started using Python for web development on Windows. If you're interested in automating common tasks on your operating system, see our guide: Get started using Python on Windows for scripting and automation. For some advanced scenarios (like needing to access/modify Python's installed files, make copies of binaries, or use Python DLLs directly), you may want to consider downloading a specific Python release directly from python.org or consider installing an alternative, such as Anaconda, Jython, PyPy, WinPython, IronPython, etc. We only recommend this if you are a more advanced Python programmer with a specific reason for choosing an alternative implementation.

Install Python

To install Python using the Microsoft Store:

1. Go to your Start menu (lower left Windows icon), type 'Microsoft Store', select the link to open the store.

2. Once the store is open, select Search from the upper-right menu and enter 'Python'. Open 'Python 3.7' from the results under Apps. Select Get.

3. Once Python has completed the downloading and installation process, open Windows PowerShell using the Start menu (lower left Windows icon). Once PowerShell is open, enter Python --version to confirm that Python3 has installed on your machine.

4. The Microsoft Store installation of Python includes pip, the standard package manager. Pip allows you to install and manage additional packages that are not part of the Python standard library. To confirm that you also have pip available to install and manage packages, enter pip --version.

Install Visual Studio Code

By using VS Code as your text editor / integrated development environment (IDE), you can take advantage of IntelliSense (a code completion aid), Linting (helps avoid making errors in your code), Debug support (helps you find errors in your code after you run it), Code snippets (templates for small reusable code blocks), and Unit testing (testing your code's interface with different types of input).

Microsoft Access Free Download

VS Code also contains a built-in terminal that enables you to open a Python command line with Windows Command prompt, PowerShell, or whatever you prefer, establishing a seamless workflow between your code editor and command line.

1. To install VS Code, download VS Code for Windows: https://code.visualstudio.com.

2. Once VS Code has been installed, you must also install the Python extension. To install the Python extension, you can select the VS Code Marketplace link or open VS Code and search for Python in the extensions menu (Ctrl+Shift+X).

3. Python is an interpreted language, and in order to run Python code, you must tell VS Code which interpreter to use. We recommend sticking with Python 3.7 unless you have a specific reason for choosing something different. Once you've installed the Python extension, select a Python 3 interpreter by opening the Command Palette (Ctrl+Shift+P), start typing the command Python: Select Interpreter to search, then select the command. You can also use the Select Python Environment option on the bottom Status Bar if available (it may already show a selected interpreter). The command presents a list of available interpreters that VS Code can find automatically, including virtual environments. If you don't see the desired interpreter, see Configuring Python environments.

4. To open the terminal in VS Code, select View > Terminal, or alternatively use the shortcut Ctrl+` (using the backtick character). The default terminal is PowerShell.

5. Inside your VS Code terminal, open Python by simply entering the command: python

6. Try the Python interpreter out by entering: print('Hello World'). Python will return your statement 'Hello World'.

Install Git (optional)

If you plan to collaborate with others on your Python code, or host your project on an open-source site (like GitHub), VS Code supports version control with Git. The Source Control tab in VS Code tracks all of your changes and has common Git commands (add, commit, push, pull) built right into the UI. You first need to install Git to power the Source Control panel.

1. Download and install Git for Windows from the git-scm website.

2. An Install Wizard is included that will ask you a series of questions about settings for your Git installation. We recommend using all of the default settings, unless you have a specific reason for changing something.

3. If you've never worked with Git before, GitHub Guides can help you get started.

Hello World tutorial for some Python basics

Python, according to its creator Guido van Rossum, is a “high-level programming language, and its core design philosophy is all about code readability and a syntax which allows programmers to express concepts in a few lines of code.”

Python is an interpreted language. In contrast to compiled languages, in which the code you write needs to be translated into machine code in order to be run by your computer's processor, Python code is passed straight to an interpreter and run directly. You just type in your code and run it. Let's try it!

1. With your PowerShell command line open, enter python to run the Python 3 interpreter. (Some instructions prefer to use the command py or python3, these should also work). You will know that you're successful because a >>> prompt with three greater-than symbols will display.

2. There are several built-in methods that allow you to make modifications to strings in Python. Create a variable, with: variable = 'Hello World!'. Press Enter for a new line.

3. Print your variable with: print(variable). This will display the text 'Hello World!'.

4. Find out the length, how many characters are used, of your string variable with: len(variable). This will display that there are 12 characters used. (Note that the blank space it counted as a character in the total length.)

5. Convert your string variable to upper-case letters: variable.upper(). Now convert your string variable to lower-case letters: variable.lower().

6. Count how many times the letter 'l' is used in your string variable: variable.count('l').

7. Search for a specific character in your string variable, let's find the exclamation point, with: variable.find('!'). This will display that the exclamation point is found in the 11th position character of the string.

8. Replace the exclamation point with a question mark: variable.replace('!', '?').

9. To exit Python, you can enter exit(), quit(), or select Ctrl-Z.

Hope you had fun using some of Python's built-in string modification methods. Now try creating a Python program file and running it with VS Code.

Hello World tutorial for using Python with VS Code

The VS Code team has put together a great Getting Started with Python tutorial walking through how to create a Hello World program with Python, run the program file, configure and run the debugger, and install packages like matplotlib and numpy to create a graphical plot inside a virtual environment.

1. Open PowerShell and create an empty folder called 'hello', navigate into this folder, and open it in VS Code:

2. Once VS Code opens, displaying your new hello folder in the left-side Explorer window, open a command line window in the bottom panel of VS Code by pressing Ctrl+` (using the backtick character) or selecting View > Terminal. By starting VS Code in a folder, that folder becomes your 'workspace'. VS Code stores settings that are specific to that workspace in .vscode/settings.json, which are separate from user settings that are stored globally.

3. Continue the tutorial in the VS Code docs: Create a Python Hello World source code file.

Create a simple game with Pygame

Pygame is a popular Python package for writing games - encouraging students to learn programming while creating something fun. Pygame displays graphics in a new window, and so it will not work under the command-line-only approach of WSL. However, if you installed Python via the Microsoft Store as detailed in this tutorial, it will work fine.

1. Once you have Python installed, install pygame from the command line (or the terminal from within VS Code) by typing python -m pip install -U pygame --user.

2. Test the installation by running a sample game : python -m pygame.examples.aliens

3. All being well, the game will open a window. Close the window when you are done playing.

Here's how to start writing your own game.

1. Open PowerShell (or Windows Command Prompt) and create an empty folder called 'bounce'. Navigate to this folder and create a file named 'bounce.py'. Open the folder in VS Code:

2. Using VS Code, enter the following Python code (or copy and paste it):

3. Save it as: bounce.py.

4. From the PowerShell terminal, run it by entering: python bounce.py.

Try adjusting some of the numbers to see what effect they have on your bouncing ball.

Read more about writing games with pygame at pygame.org.

Resources for continued learning

We recommend the following resources to support you in continuing to learn about Python development on Windows.

Online courses for learning Python

• Introduction to Python on Microsoft Learn: Try the interactive Microsoft Learn platform and earn experience points for completing this module covering the basics on how to write basic Python code, declare variables, and work with console input and output. The interactive sandbox environment makes this a great place to start for folks who don't have their Python development environment set up yet.

• Python on Pluralsight: 8 Courses, 29 Hours: The Python learning path on Pluralsight offers online courses covering a variety of topics related to Python, including a tool to measure your skill and find your gaps.

• LearnPython.org Tutorials: Get started on learning Python without needing to install or set anything up with these free interactive Python tutorials from the folks at DataCamp.

• The Python.org Tutorials: Introduces the reader informally to the basic concepts and features of the Python language and system.

• Learning Python on Lynda.com: A basic introduction to Python.

Working with Python in VS Code

• Editing Python in VS Code: Learn more about how to take advantage of VS Code's autocomplete and IntelliSense support for Python, including how to customize their behvior... or just turn them off.

• Linting Python: Linting is the process of running a program that will analyse code for potential errors. Learn about the different forms of linting support VS Code provides for Python and how to set it up.

• Debugging Python: Debugging is the process of identifying and removing errors from a computer program. This article covers how to initialize and configure debugging for Python with VS Code, how to set and validate breakpoints, attach a local script, perform debugging for different app types or on a remote computer, and some basic troubleshooting.

• Unit testing Python: Covers some background explaining what unit testing means, an example walkthrough, enabling a test framework, creating and running your tests, debugging tests, and test configuration settings.