Exedore 0 8 2 – Mac Native Python Ide

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.

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?
  • The Most Popular IDEs Among Python Developers
  • Best Python-compatible IDEs for ML, AI, and BD
  • Other IDEs for Python Development

Exedore is a thoroughly Mac-native, single window Python IDE. Exedore is written entirely in Cocoa/Objective-C so it feels right at home on your Mac. Exedore includes: - A full-featured Python text editor with syntax highlighting, code completion with fuzzy matching, and tabs for writing your scripts. PyCharm Community Edition, Vim, and Visual Studio Code are probably your best bets out of the 23 options considered. 'Sophisticated autocompletion ' is the primary reason people pick PyCharm Community Edition over the competition. This page is powered by a knowledgeable community that helps you make an informed decision. Exedore is a thoroughly Mac-native Python IDE written entirely in Cocoa/Objective-C. Features: A full-featured Python text editor with syntax highlighting, code auto-completion with fuzzy matching, and tabs for writing your scripts. An integrated Python debugger with graphical breakpoints and a console for stepping through and debugging scripts.

What is an IDE, and Why Do You Need It?

But Microsoft’s new Python language server is much faster and has a deeper understanding of typing and the core Python libraries. It’s also the second reboot in as many years. Native Notebooks. Utah Python August 2013 meeting 8 August 2013 - Jacob Kovac Utah Python August 2013 meeting; Kivy Intro and Tutorial 2 March 2013 - Ben Rousch GrDevDay 2013 in Grad Rapids, MI, USA. OpenGL and Python on computer and embed devices 24 July 2012 - Mathieu Virbel EuroPython 2012.

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:

  • A text editor
  • Compiler and/or interpreter
  • Assembly automation tools
  • Debugger.

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. Advanced code editors can develop and modify code.

IDE

Code Editor

Uses high-performing libraries or toolkits that enable advanced codingLacks libraries and toolkits
AutomatedManual
Rich feature collectionFewer features

Distinctive Features of IDEs and Code Editors

What qualities do both IDEs and code editors share? They enable developers to:

  • Store and reopen scripts
  • Run their code on it
  • Debug
  • Highlight syntax.

The Most Popular IDEs Among Python Developers

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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:

  • Built-in developer tools
  • Capabilities for remote development
  • Live editing mode
  • IPython Notebook.

Pros:

  • PyCharm supports web development frameworks, including Pyramid, Flask, and Django.
  • Offers a smart code feature for more precise and faster bug fixes.
  • Allows to develop on remote hosts thanks to Docker and Vagrant connections and ssh terminal.

Cons:

  • The interface might seem bulky.
  • The Pro version can seem too expensive.

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:

  • Built-in git
  • Extensions for customizing the tool
  • Breakpoints for debugging
  • An interactive console.

Pros:

  • Its Electron framework allows you to work with VS Code on almost all platforms.
  • You can debug the code directly from the editor,
  • Supports multiple keyboard shortcuts to speed up coding.

Cons:

  • Limited features for debugging.
  • Doesn’t have built-in templates.

Sublime Text

Sublime Text can be considered the best Python editor because it’s simple, universal, and convenient. It’s widely used by most coders, and across different platforms.

Compatibility: Windows, Linux, and Mac OS.

Top plugins and features:

  • Easy navigation for high performance
  • Support for different packages to customize the editor
  • Code snippets for replicating common code with just one keyword
  • Immediate project switching and split editing.

Pros:

  • Works with different markup languages.
  • Enables users to choose which projects they want to work on.
  • Comes with a key tool that enables a wide index of classes and functions.
  • Provides a strong API and an organized ecosystem for high performance.

Cons:

  • A bit advanced for beginners
  • Its git plugin isn’t very powerful.

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:

  • Scripts that allow you to perform almost all of the programming tasks in Python.
  • Ctags for better tag navigation.
  • Built-in basic word completion.

Pros:

  • It has a keyboard interface to improve efficiency.
  • It supports many plugins (e.g., version control, file management).
  • Can be extended with different functionality via the .vimrc file (e.g., highlighting search results.

Cons:

  • The interface might seem clumsy; some developers find it inconvenient to use.
  • Its modal editor may take time for users to learn.

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:

  • It adopts the Lisp coding language
  • Syntax coloring
  • Unicode support.

Pros:

  • As a second language, Lisp enables developers to perform better.
  • Emacs is compatible with many different platforms.
  • It enables a variety of customization scripts that developers can use.

Cons:

  • Users might have to spend a little more time learning the editor’s complex customization process.
  • It is more complex to use than some of the other IDEs.

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:

  • tkinter GUI toolkit
  • Multi-window interface
  • Configured with dialog boxes, browsers, and other configurations.

Pros:

  • IDLE allows users to highlight errors, auto code, and accurately identify them.
  • IDLE has a top lighter Python shell.
  • Its inbuilt correction feature boosts performance.
  • It enables users to search and replace files in the editor.

Cons:

  • IDLE doesn’t enable copying to the library.
  • Scripts cannot exceed 100 lines of code.

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.


Using IDLE (Python's IDE)
Last Revision: July, 2010
( McCann )

The intended audience for this document is the Fall 2010 ISTA 130 class at theUniversity of Arizona. If other people also find it helpful, great!

Outline

Exedore 0 8 2 – Mac Native Python Ide Commands

  1. Using the Python Shell Window

Exedore 0 8 2 – Mac Native Python Ide 8.2

  1. What is IDLE?

    IDLE is the integrated development environment (IDE) provided with Python. An IDE combines a program editor and a language environment as a convenience to the programmer. Using IDLE is not a requirement for using Python. There are many other IDEs that can be used to write Python programs, not to mention a variety of text-based programmer's editors that many programmers prefer to IDEs.

    We are covering IDLE because it comes with Python, and because it is not too complex for beginning programmers to use effectively. You are welcome to use another editor or IDE if you wish, but if you don't already know one, IDLE is a good choice.

  2. Launching IDLE

    If you are reading this, you have probably already installed Python and IDLE. If not, now would be a good time to do so. We have a short web page with installation instructions: Installing Python.

    With Python and IDLE installed, IDLE can be launched from your OS's program collection. For example, here's where you might find it if you using Ubuntu Linux with Gnome:

    Clicking on the IDLE selection will launch IDLE and display the Python Shell window.

  3. Using the Python Shell Window

    The top of IDLE's Python Shell window will look something like this:

    This window serves two main purposes: To let us experiment with Python commands, and to let us open a program editing window.

    1. Experimenting with Python Commands

      Python, by design, is an interpreted language (as opposed to a compiled language). Programs written with interpreted languages do tend to execute a little more slowly than do compiled programs, but for most tasks the difference is insignificant. The big advantage of an interpreted language is experimentation: A programmer can try out algorithms and play around with different commands interactively (that is, without having to write a complete program to do either). For people just starting to learn programming in general, or Python in particular, interactive experimentation is very useful.

      This interactivity is the main purpose of the IDLE's Python Shell window. You probably noticed already that the last line of text in the window is the set of three 'greater-than' symbols. This is the prompt symbol; when you see it on a line by itself, Python is waiting for you to do something -- such as type in a command.

      Let's give it a try. Click on the Python Shell window (to make sure that it has the keyboard's attention) and then type this line, just like you see it:

      As you are typing, you'll probably be distracted by a little pop-up message that shows the basic structure of an invocation of the print function. Just ignore it. You'll also notice that parts of the line you're typing appear in different colors. That's also not important right now.

      When you're done typing, press the ENTER key. You should see the following in the window (minus all the colors):

      Not terribly exciting, of course, but useful: If you were able to execute that print, you can execute all sort of other Python commands and see what they do. As an example of something more complex, let's get Python to display the odd integers from -9 through 9. Now, here's what we will be typing, but please don't do it yet:

      Notice that this example is on two lines, and that the second is indented by four spaces. You will have to tell IDLE to go to the second line (by pressing the ENTER key after you type the colon), but IDLE will take care of the indenting for you. When you get to the end of the second line, press the ENTER key twice. Got it? Great; go ahead and type it in. After pressing the ENTER key twice at the end, here's what you should see:

      The intentation is a big deal to Python; that's how it knows that the second line is actually a component of the for statement that was started in the first line.

      That's all we want to do with experimentation for now. We're sure that you have several questions (e.g., 'Why does the range go to 10 but the numbers stopped at 9?'), and that's good. We'll be covering the for statement in class in detail. In the meantime, you can consult the text for answers to such questions.

    2. Creating and Executing a Python Program

      Playing around with Python commands in the shell window is nice, but our goal is to write complete Python programs. To do that, we need to start IDLE's editor. Here's how: From the Python Shell window, click on the File option on the menu bar, and select 'New Window'.

      You will see a (surprise!) new window, one without a title. This is an editing window. Into it we can type sequences of Python commands to form programs. Unlike the shell window, we won't see the effect of the commands as we type them; we'll have to execute them as a group after we enter them to see what they do.

      Into the new window, enter the following sequence of Python statements, just as you see them. Remember to press ENTER at the end of each line:

      Double-check that you typed the three lines exactly as you see them. Why is this a big deal? Because there is one intentional error in this program, and we're about to see how Python tells us about it. If you mistyped something, you may have created a second error, and if so the rest of this example won't go as we've planned.

      Before IDLE will let Python execute this program, it will insist that we save the program as a file. This is a good idea; by saving it, we won't have to type it in again. Let's let IDLE nag us. In the menu bar, choose 'Run', and from the drop-down menu choose 'Run Module.' Immediately, IDLE will pop up a little window that says, 'Source Must Be Saved. OK to Save?' Click OK, and IDLE will show you a Save As window. Give it the name name.py and click 'Save'. Immediately, Python will start running your program; you'll have to look at the Python Shell window to interact with it.

      In the shell window, you should see the 'Please enter your name:' message. Go ahead and type in your name, followed by the ENTER key. The program will greet you, but then will encounter a problem. Here's what you should see in the Python Shell window (if your name is Rumpelstiltskin!):

      When you see a 'Traceback' message block in red, you know that there's a problem with your program. In this case, as we mentioned above, we inserted an error intentionally. The problem is that we are trying to create a message by concatenating (gluing together, if you will) three pieces of information. That's allowed, but only if the pieces are all collections of characters. Here, len(name) produces a number, not a collection of characters, and so Python is not able to concatenate it with the surrounding characters.

      To fix this error, go back to the program window (which is now named 'name.py') and change len(name) to str(len(name)) without changing anything else. Choose 'Run' and 'Run Module' again, and Python will ask that you approve the saving of the source. Click 'OK', and enter your name in the shell window again. If you entered the program accurately and made the change correctly, here's the result of the program's execution:

      One last thing: Go back to the 'name.py' window and run the program one more time. Did you notice that IDLE didn't ask for the program to be saved? That's because you didn't change it since the last execution.

      You now know enough to enter, save, and run Python programs using IDLE!

  4. Exiting IDLE

    When you're done, to leave IDLE all you have to do is close the windows. Because IDLE is so insistent that you save your program before each execution, it's hard to lose your changes when you leave IDLE. But, if you want to be really safe, you can save your program manually before closing the editing window. Choose 'File' on the menu bar, and 'Save' from the drop-down menu.

  5. Where Can I Go to Learn More About IDLE?

    Of course, this web page only touched on IDLE's capabilities. If you would like to learn more, here are some sources of additional information:

    • IDLE's Own Help Information: IDLE's menu bar has a 'Help' option.
    • python.org: Python's web site, python.org, has extensive information about Python, including IDLE. In particular, see: http://docs.python.org/py3k/library/idle.html.
    • Appendix B of Zelle's Book: Our textbook has an appendix with information on using Python and IDLE.
    • That Goll-Darn World-Wide-Web Thang: There are lots of web sites with information about IDLE, including other introductory tutorials like this one. Pull up your favorite search engine and do some snooping.

Exedore 0 8 2 – Mac Native Python Ide Tutorial

Do you have a comment on this page? I'd like to hear it; you can email me atmccannl@acm.org.