There is no better way to build in Python than by using an IDE (Integrated Development Environment). They not only make your work much easier as well as logical; they also enhance the coding experience and efficiency.
Mac OS X 10.8 comes with Python 2.7 pre-installed by Apple. If you wish, you are invited to install the most recent version of Python from the Python website ( ). A current “universal binary” build of Python, which runs natively on the Mac’s new Intel and legacy PPC CPU’s, is available there. The developers have set 2020 as the final year for Python 2 support, and everyone will need to transition their programs over to Python 3 by then. Utilities like 2to3 make it easier to transform a Python 2 program into valid Python 3 syntax, but if you’ve ever used Google Translate, you know this won’t be perfect. Upgrading to Python 3 on.
Sure, everyone knows this. However, the problem is, how do you pick the best environment for Python development when there are so many options? This often becomes an issue that beginner developers have to face.
In this article, we’ll provide an overview of the best IDEs for Python that are popular among coders and a few other options that are worth considering. But before we delve into it, let’s first explain what an IDE means.
Table of Contents
What is an IDE, and Why Do You Need It?
An Integrated Development Environment is a software package that developers use to create programs. It’s meant to maximize a programmer’s productivity by incorporating closely related components with simple user interfaces. Essentially, it’s a tool that improves the process of creating, testing, and debugging source code — it makes the job easier.
Some of the tools IDEs use include:
There’s a seemingly similar term an integrated development environment — code editor. Let’s first discuss the differences and commonalities of both tools.
What Is a Code Editor?
A code editor is just a text editor that highlights the syntax and formats the code. Can t open app on mac. Advanced code editors can develop and modify code.
Distinctive Features of IDEs and Code Editors
What qualities do both IDEs and code editors share? They enable developers to:
The Most Popular IDEs Among Python DevelopersPython & Django developmentYour chance to enter the market faster
Now that you have a basic understanding of development tools, including the qualities they possess, we can take a closer look at several favored examples.
PyCharm
PyCharm was developed by JetBrains, a notable software development company. It is considered one of the best IDEs for Python when it comes to AI and ML. Most importantly, Pycharm merges its libraries – like Matplotlib and NumPy – to enable developers to explore other options for work.
Compatibility: Windows, MacOS, Linux
Top plugins and features:
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Pros:
Cons:
Visual Studio Code
Visual Studio Code is sometimes mistaken for Visual Studio IDE, which isn’t a common tool in the Python world. VS Code is a complete code editor with premium features and many coders say it’s the best IDE editor out there.
Compatibility: Windows, Linux, Mac OS.
Top plugins and features:
Pros:
Cons:
Sublime Text
Sublime Text can be considered the best Python editor because it’s simple, universal, and convenient. Ip man full movie in hindi free download. It’s widely used by most coders, and across different platforms.
Compatibility: Windows, Linux, and Mac OS.
Free download maps for mobile without internet. Top plugins and features:
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Cons:
VI/Vim
Vim is amongst the top 5 in our list of the best IDE tools for Python. It is a modal editor that splits file viewing from file editing. It’s a huge step ahead of the initial Vi, with more powerful features.
Compatibility: Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, and MorphOS.
Top plugins and features:
Pros:
Cons:
GNU Emacs
GNU Emacs also competes for the title of the best Python editor. It’s often described as an extendable, self-documenting editor with an on-the-go display. Though not entirely new in the industry, Emacs is constantly upgraded to meet developers’ needs.
Compatibility: Windows, Linux, Mac OS, IOS, Android, UNIX, AmigaOS, and MorphOS.
Top plugins and features:
Pros:
Cons:
IDLE
IDLE code editor is popular among students, as it is supplied together with Python. It’s simple to work with, universal, and supports different devices. It’s no wonder they call it a disposable IDE, as it helps to learn the basics before moving on to more sophisticated tools.
Compatibility: Windows, Linux, and Mac OS.
Top plugins with features:
Pros:
Cons:
Best Python-compatible IDEs for ML, AI, and BD
Python is one of the go-to languages in machine learning, artificial intelligence, big data, and related fields. We’d like to dedicate a separate section to IDEs that are suitable for Python developers in these areas.
Atom
Atom is an open-source editor that’s compatible with virtually every programming language like PHP, Java, etc. It is regularly updated, reliable, and can be used universally. Github built Atom with powerful features that offer a good programming experience, including plugins, such as Packages — for SQL queries, Markdown Preview Plus — for editing, visualizing, and rendering LaTeX expressions.
Spyder
Spyder is created explicitly for data science. It’s open-source and compatible with numerous platforms making it a better choice for beginner IDE users. It merges its key libraries – like NumPy, Matplotlib, and SciPy – for perfect development.
JuPyter/IPython Notebook
Jupyter is web-based and enables developers to build and operate scripts or notebooks. It is relatively simpler and more user-friendly. Jupyter also uses Seaborn and Matplotlib for data visualization.
Other IDEs for Python Development
Here are a few more IDEs that are less known or less popular, but are still worth considering.
Eclipse + PyDev
Download: Eclipse, PyDev
Eclipse is an open-source editor and one of the go-to Python IDEs for Windows. Its collection of extensions and plugins is very extensive and enough to build almost anything you want. Along with the PyDev extension, it allows for smart debugging and improves the code quality.
Eric Python
Eric is another less popular Python IDE, but it is still powerful and efficient. Whether it’s for commercial or private use, Eric offers a dimension of functionality that suits multiple purposes. It runs on all platforms.
Wing
Wing is a notable IDE for Python that helps with smart coding. With its simple-to-use editor, a powerful debugger, the possibility for remote coding, error-checking and many other features, it’s worth your attention, even though it’s not at the top of any popularity charts.
PyScripter
PyScripter aims to beat other Python IDEs for Windows with its superb functionality. It’s also a great Python IDE for Mac, with its commercial version available for most programming languages. PyScripter has a rich feature set, but despite that, it’s pretty lightweight.
Pyzo
Pyzo is a free open-source coding tool that will work with any Python interpreter, even the Conda environment. Two of its standout features are simplicity and interactivity. It’s easy to use, even for beginners.
Thonny
Thonny was developed by the University of Tartu with a beginner programmer in mind. It’s easy to start using since its interface doesn’t have any complicated or distracting features from the get-go. Another perk for beginners is that you can see step by step how Python evaluates your expressions.
Conclusion
We have reviewed a rich collection of the best Python IDEs and other tools. Deciding on which tool to use is a matter of convenience and one’s proficiency level. Of course, there are all-time favorites like PyCharm, but you can always try out a few other tools and see which ones work best for you.
Some IDEs are better for beginners, while others are more professional; each of them has its unique features and design. We’ve put together this list to give you a variety to choose from.
We will explore the use of
PyInstaller to create a cross-platform standalone application using python. For this tutorial I will be using Tkinter to visually demonstrate.
PyInstaller can be used in Python3 and Python2, similarly it creates applications for MacOS, Windows, and Linux.
I will be using:
N.B. - Currently Python 3 has issues with importing a compatible version of tcl on MacOS, however the below describes a method that works around this.
Setup
PyInstaller runs from within the terminal, from here we will install PyInstaller, create a working directory, and cd to it.
Write your python script
This will vary depending on your task, below I will demonstrate visually by creating a
tkinter app.
If needed:
pip install tkinter .
Save the below
tkinter app as DogsGo.py .
Run the above
$ python DogsGo.py or from within python.
You should have generated an app that shows:
N.B. Python 2 uses
import Tkinter and Python 3 import tkinter .
Build the application
Before we build the application you should first understand flags, these are settings which you apply at the time of building. In many cases these can be applied after, however many are easiest to add at the point of build. For this example I will describe two, however more can be found here.
-w, –windowed, –noconsole - Prevents terminal from appearing when app is opened.
Windows and Mac OS X: do not provide a console window for standard i/o. On Mac OS X this also triggers building an OS X .app bundle. On Windows this option will be set if the first script is a ‘.pyw’ file. This option is ignored in *NIX systems.
-F, –onefile - App is bundled into a single file.
Create a one-file bundled executable.
If you are a MacOS user don’t use –onefile https://brownplanning924.weebly.com/where-can-i-download-mac-os-x-sierra.html. , I’ll elaborate below.
Windows and Linux
Once the build is complete, navigate to
dist and run the DogsGo application. Or:
*change extension and path depending on OS.
MacOS
Soundcloud app mac download. Currently the pyinstaller build on MacOS uses an incompatible version of tcl, resulting in the app immediately crashing when it opens (i.e. if you follow the above). Below is a method which allows the application to be opened by editing the
init.tcl file. I have written a python script which makes these changes.
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The build will be created however the
Contents of the application will remain as separate files. Clone the TCLChanger.py from my git repository and run in the same working directory as your original python script.
Or download the file if you don’t use git :’(
You should now be able to open the application.
Exploring .spec and adding an icon
Adding an application icon can be done using the flag
--icon=icon-name.icns during the build, however we will use this as an oppertunity to delve into the .spec file that has been generated.
Opening
DogsGo.spec will show a number of settings we can update, for the application icon we want to update exe = EXE(.) and app = BUNDLE(.) .
Let us update the icon to dog.icns, don’t forget to rename it
dog.icns and copy it to your current directory.
exe = EXE(…) Usb host controller driver windows 10 download.
Add
icon='dog.icns' .
app = BUNDLE()
Change
icon=None to icon='dog.icns' .
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Now that
DogsGo.spec has been updated, run the pyinstaller for the DogsGo.spec .
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MacOS users, remember to run
$ python TCLChanger.py again
Final Note
That’s it! You will now be able to transfer the standalone application and use it.
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