10 Useful tools for Python Programming (1)

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10 Useful tools for Python Programming
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Introduction

• Python, like most other programming languages,
  has strong third-party support in the form of
  various tools. A tool is any utility that
  enhances the natural capabilities of Python when
  building an application. Here are the top ten
  tools we have hand-picked for you especially. 

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The Top 10 Interesting Tools for Python
Programming
 1. Roundup - Track bugs with Roundup Issue
Tracker

• You can use a number of tracking systems on your
  local drive, but Roundup Issue Tracker is one of
  the better offerings. Roundup should work on any
  platform that supports Python, and it offers
  these basic features
• Bug tracking
• To-Do list management

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 2. VirtualEnv - Create a virtual environment
using VirtualEnv

• VirtualEnv provides the means to create a virtual
  Python environment that you can use for the early
  testing process or to diagnose issues that could
  occur because of the environment.

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 3. Py Installer - Install your application using
PyInstaller

• You need a surefire method of getting an
  application from your system to the users
  system. Installers, such as PyInstaller, do just
  that. They make a nice package out of your
  application that the user can easily install.
  Even most of the app development companies used
  this tool.

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 4. PDoc - Build developer documentation using
pdoc

• You can also have pdoc run in a way that provides
  output through a web server so that people can
  see the documentation directly in a browser.

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 5. Komodo - Develop application code using
Komodo Edit

• One of the better general-purpose IDEs for novice
  developers is Komodo Edit. You can obtain this
  IDE free, and it includes a wealth of features
  like
• Support for multiple programming languages
• Automatic completion of keywords
• Indentation checking
• Superior support

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 6. Pydbgr - Debug your application using pydbgr

• When your editor doesnt include a debugger, you
  need an external debugger such as pydbgr.
  Out-of-process debugging and Event filtering and
  tracing are some of the standard and nonstandard
  features that make pydbgr a good choice.

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 7. IPython - Enter an interactive environment
using IPython

• Using a more advanced shell, such as IPython, can
  make the interactive environment friendlier by
  providing GUI features so that you dont have to
  remember the syntax for odd commands.

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 8. Py Unit - Test Python applications using
PyUnit

• At some point, you need to test your applications
  to ensure that they work as instructed. Products
  such as PyUnit make unit testing significantly
  easier. The nice part of this product is that you
  actually create Python code to perform the
  testing.

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 9. I Sort - Tidy your code using Isort

• In some situations, it becomes difficult, if not
  impossible, to figure out whats going on with
  your code when it isnt kept neat. The Isort
  utility performs the seemingly small task of
  sorting your import statements and ensuring that
  they all appear at the top of the source code
  file.

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 10. Mercurial - Provide version control using
Mercurial

• One of the more interesting offerings is
  Mercurial. You can get a version of Mercurial for
  almost any platform that Python will run on, so
  you dont have to worry about changing products
  when you change platforms.

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In The End

• Try to Integrate any one of the tools from ten
  in your Python career and experience the
  interesting side of python programming language.
  While hire python developer also helps you to
  learn more about python - you could learn more
  interesting things and perhaps more than tools.
• Thanks for Watching!