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Summary

New Major Features:

• Ship with Anaconda's Miniconda for when there is no python installed on the system. (Windows-only)
• Vastly improved startup speed (with a fancy loading icon) and removed loading popup, since it is not needed anymore
• Restore application state when opened, including tabs open and terminal history.
• Adding or overriding Environment Variables inside Rodeo

Details

It's been a month since the last update of Rodeo. Sorry about the delay. I was trying to figure out how to help people install Python.

Built-in Miniconda on Windows

From the feedback that Colin and Elise have been getting, most newbie data scientists struggle with installing Python on Windows machines. Mac and Linux users are somewhat better at it, but they often like installing libraries and everything themselves, which is honestly quite cool.

Anyway, this new version has Miniconda built into the Windows version. It will obviously try and run any version it finds on the system first by running 'python' on the command line, but then it will fall back to the built-in version. If the built-in version fails, it will show the default starting screen to help people resolve whatever issue they have on their system.

Removed Starting / Loading Screen

In previous versions of Rodeo 2.x, there was an annoying window that popped up that tried to detect problems with the system that it was running on. Google translate english to latin. It was seriously annoying, but it was the only solution we could think up for all the problems that people were having with their Jupyter/IPython installations.

In this new version (2.5.x), we're going to try a different approach and see if it works better. Instead of trying to detect problems before the main Rodeo application launches, we're going to try and detect problems after they've already happened. This means that most users will not be blocked or slowed down after they have everything set up nicely.

Um, I also did a bunch of things to speed up the startup speed of Rodeo as well. On my 2012 MacBook Pro, Rodeo loads in 2.5 seconds. I have some ideas to get this down to 1 second, but it'll require some new techniques. The technology inside the Rodeo UI is getting strangely advanced.

Restore Application State when Reopened

There are two parts to this new feature: Firstly, when Rodeo shuts down it saves the current state of the app. It remembers what files you have open, the history of the terminal, what your current working directory is -- that is, almost everything. Secondly, when Rodeo is reopened it tries to restore that state. Hopefully this feature saves people a lot of time.

This is just the first iteration of this feature, and I want to add auto-saving of files and plots later.

Adding or overriding Environment Variables inside Rodeo

As wonderful as Python is, it relies on some concepts that beginner data scientists struggle with -- like environment variables. Even for advanced users, managing environment variables on a system is complex because they're always somewhat global, and there are always several ways to set them depending on operating system and the way an application is started.

I added an Environment Variables interface in the Preferences to help, and hopefully it makes someone's life easier. It shows all the environment variables currently affecting their scripts (shown in blue), and lets everyone add or override them safely too (shown in white). I tried to make it more difficult to mess up your system by moving the PATH and the PYTHON PATH to their own lists. I don't know if this is the best interface to manage such a thing, so I hope people give lots of feedback in the forums.

Bonus Features

This is an open source project, and people have been really great about providing feedback and helping out in all kinds of ways.

• Check existence of current working directory before trying to start python. Thanks fioraz! [forum link]
• Default to PYTHONIOENCODING=utf-8, since our terminal is utf-8 by default already. Thank you teramonagi! [forum link]
• Pop up dialog before quitting. This can be disabled in Preferences > Global or in the quit dialog itself. This is first step toward warning the user about unsaved work.
• Choose whether to use Pip or Conda to install packages. This is available in Preferences > Python
• Terminal Cursor is now thin and slightly blinking to match the editor tabs. This can be changed back through the Preferences as well.
• General improvements to performance all over the place. You'll probably notice.

Write script codes and create COM, .NET or COBRA objects without too much hassle using this Python integrated development environment

What's new in Rodeo 2.5.2:

• New Major Features:
• Ship with Anaconda's Miniconda for when there is no python installed on the system. (Windows-only)
• Vastly improved startup speed (with a fancy loading icon) and removed loading popup, since it is not needed anymore
• Restore application state when opened, including tabs open and terminal history.

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Read the full changelog

While many developers agree that an IDE is a necessity for languages like VB.NET or Delphi, the same cannot be said about Python. Since the characters you type are directly expressive of the function, an IDE would essentially be useful for beginners who are just trying to learn the ropes.

Another point to be noted is the universal nature of DJ Songs. Ganpati songs mp3 free download.

Rodeo is an application developed as an IDE that includes all the fundamental tools you need to build desktop applications where you can integrate multiple Python environments and switch between them.

Medium-difficulty setup and intuitive interface

First off, you should know that you need to have Jupyter or iPython installed beforehand to run this application. Moreover, it is recommended that you have several modules installed in Python so you can use functions that are required by your app, such as plotting for instance.

Upon launch, you are requested to specify the location of the Python executable as well as ensure that you have a working version of Jupyter, a test that you can perform using the command prompt. Since they also require a bit of configuration, the setup is not necessarily difficult, but rather lengthy.

Upon launch, you come face to face with a user-friendly interface that is split into four main panels, meaning the explorer, environment and variable pane, the console and the section where you actually write down your code.

Enables you to use commands that you can keep track of

Considering that it is an environment for Python, it is only natural that you can view a plethora of data, namely lists, array, plots, series, classes and data frames, just to name a few. You can add the objects to the environment tab by inputting the data into the dedicated Editor.

In the eventuality that you feel more comfortable using commands, then you should know that the application allows you to type them into the console and you can view everything on the History tab.

A Python IDE that can save you time and energy

Rodeo comes with numerous functions, customizable workspace and abundant documentations, meaning a set of features that could make your Python app development smoother.

Filed under

SYSTEM REQUIREMENTS

• IPython/Jupyter installed

Rodeo was reviewed by Alexandra Sava

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Rodeo 2.5.2

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file size:

204 MB

filename:

Rodeo.Setup.2.5.2.exe

runs on:

Windows All

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Programming

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