Installing Python: When you install python, you are installing several tools and a directory of a 'framework' of libraries to run python. The most important tools you will be using are python3, idle3, and pip3, and these are the names of the commands for these tools in the terminal application. Python3 will run python programs. Trying to figure out Python with Visual Studio on Mac. Dependencies and Libraries don't seem to install/launch correctly. For example, I have pandas on my system, installed via pip, and if I do. In this short article I'm going to give you an overview of Visual Studio Code, a free and open source IDE for Windows, Mac OS X and Linux, from Microsoft. This IDE is highly configurable and extensible with plugins, including a very good one for Python. Install the Python development environment on your system. Install using the Homebrew package manager: /usr/bin/ruby -e '$. This comes with Visual Studio 2015 but can be installed separately: Go to the Visual Studio downloads, Select Redistributables and Build Tools.
Writing Python code typically involves what it known as a Text Editor. Our recommendation for a text editor is either Sublime Text 3, which costs money but is free to use, or Microsoft VS Code.
The functional difference between these two editors is small — they both accomplish the same things, effectively. Which one you chose is a matter of personal taste. There are other editors, like vim, Atom, or emacs, which you may chose to use instead. Whatever works best for you is best.
I personally use and vastly prefer Sublime Text 3 to all other options available. It’s easily my favorite editor. If it didn’t exist though, I’d be using VS Code.
Note
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There are a few “soft requirements” for a text editor to have, when working professionally (or recreationally), with Python code:
- Support for “soft tabs”
- Support for visible whitespace (this is crucial when working with Python files)
Nice–to–haves:
- Support for “rulers”, which show a vertical line after the 79th character, as PEP8 recommends.
- Built-in linter for showing syntax errors as you type.
- Built-in support for Flake8, which enforces PEP8 standards as you type.
Sublime Text 3¶
Sublime Text doesn’t support all of these things by itself, but it comes with a great system called Package Control, which allows for easy installation/management of third-party plugins.
Sublime Text 3 Plugin Recommendations¶
- Package Control
- Sublime’s Package Manager — can be installed via **
- Anaconda
- Fantastic “Python IDE” for Sublime Text, which offers code linting, PEP8 support, and auto–completion. Works great with Pipenv (and the
subl
launcher). Highly recommended.
Additionally Useful Plugins¶
- GitSavvy
- Allows you to git push/pull/stage right from Sublime Text.
- GitGutter
- Places the current git status of edited lines in your gutter. Very useful.
Sublime Text 3 Tricks¶
subl
Launcher¶
Once installed, the command–line
subl
launcher will allow you to easily open up projects from your terminal (e.g. $subl.
). In addition, it also will inform plugins like Anaconda of which Python interpreter to use, based on the currently activated virtual environment.To enable this shortcut, if you’re on a Mac, do the following:
Then, the
subl
command will be available to you, always.PEP8 Rulers¶
According to PEP8, all lines of Python should typically be set to a maximum length of 79 characters (72 if documentation).
Let’s configure Sublime Text to display these rulers. Go into Preferences ➞ Settings, and add the following JSON:
Now, you’ll see nice vertical lines at 72 and 79 characters, informing you of how long your lines are!
Microsoft Visual Studio Code (VS Code)¶
Microsoft VS Code guides you through setting up the Python package, built by Microsoft themselves, the first time you run it.
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VS Code comes built in with git support and a package system that allows you to customize the editor to your liking. It is built upon Electron (just like Github’s Atom editor) and thus works on various platforms.
Microsoft VS Code Extensions Recommendations¶
- Python Extension for Visual Studio Code
- by MicrosoftLinting, Debugging (multi-threaded, remote), Intellisense, code formatting, refactoring, unit tests, snippets, Data Science (with Jupyter), PySpark and more.
- vscode-flake8
- MagicPython
- Syntax highlighter for cutting edge Python.
- Python Extension Pack
- Don Jayamanne’s extension pack installs all the useful Python packages for VS Code in one fell swoop.
Additionally Helpful Plugins¶
- Jupyter
- Data Science with Jupyter on Visual Studio Code.
- Django Template
- Django template language support for Visual Studio Code.
- Django Snippets
- Common Django snippets for everyday use.
Microsoft VS Code Tricks¶
- Select a version of Python using Ctrl + Shift + P:
- “Python: Select Interpreter”
You can run your code using the integrated terminal. Open it using Ctrl + `.
Microsoft VS Code Launcher¶
Mac: After installing VS Code, running code from the terminal as easy as typing
code
Rulers¶
PEP8 compliant rulers can be added to VS Code by adding the following lines to your User Settings:
In the previous article of the series Introductory Tutorial to Python's SQLAlchemy, we learned how to write database code using SQLAlchemy's declaratives. In this article, we are going to learn how to install SQLAlchemy on Linux, Mac OS X and Windows.
![Studio Studio](/uploads/1/3/3/8/133866047/680136249.png)
Installing SQLAlchemy on Windows
Before installing SQLAlchemy on Windows, you need to install Python using its Windows installer. You can download one of Python's Windows MSI installer at Python's release page. You can install it by double clicking the
.msi
file.After you have installed Python on your Windows system, you can download the source code of SQLAlchemy from SQLAlchemy Download Page and install it using its setup.py script.
Install Python Visual Studio 2015
2 4 6 | running install running build_py Plain-Python build succeeded. |
Installing SQLAlchemy on Linux
It's recommended that we create a virtualenv before we install SQLAlchemy. So, let's go ahead and do that:
2 4 6 | Newpython executable insqlalchemy-workspace/bin/python Installing pip...............done $source bin/activate |
Then, the easiest way to install SQLAlchemy is to use Python's package manager
pip
:2 4 6 8 10 | Downloading/unpacking sqlalchemy Downloading SQLAlchemy-0.8.1.tar.gz(3.8Mb):3.8Mbdownloaded no previously-included directories found matching'doc/build/output' Cleaning up... |
Installing SQLAlchemy on Mac OS X
![Install Install](/uploads/1/3/3/8/133866047/450438576.png)
Install Python For Visual Studio Code
Installing SQLAlchemy on Mac OS X is relatively the same as Linux. Once you have created a Python virtualenv following the same steps as Linux, you can install SQLAlchemy using the following commands:
2 4 6 8 10 12 14 16 | Newpython executable insqlalchemy-workspace/bin/python Installing pip...............done. $source bin/activate Downloading/unpacking sqlalchemy Downloading SQLAlchemy-0.8.2.tar.gz(3.8MB):3.8MBdownloaded no previously-included directories found matching'doc/build/output' Cleaning up... |
That's it. You have successfully installed SQLAlchemy and you can start writing declarative models using the new SQLAlchemy-powered virtualenv right away.
Summary
Under Linux or Mac OS X, it's recommended to install SQLAlchemy inside a virtualenv using pip since it's more convenient than installing it from the source code. While under Windows, you have to install it from the source code using a system-wide Python installation.