Default Anaconda Applications

8 Default Applications in Anaconda Environment

Ashish Patil

JUPYTER NOTEBOOK:

Jupyter Notebook Description

Jupyter Notebook Description


  • The Jupyter Notebook is an open-source web application that allows creating and distributing documents that consists of various mathematical expressions, visualizations and rich text.
  •       Jupyter Notebook is capable for various operations like data cleaning and transformation, statistical modeling and machine learning.
  •       Jupyter Notebook is also used to present plots that are out-turn of running code cells.
  •       Jupyter Notebook is very adaptable tool that is used to create readable analyses as keeping code, images, and equations together is very simpler in it.
  •       Jupyter Notebook runs on a web browser which could be provided on your local machine or on a remote server. 

JUPYTERLAB:

JupyterLab Notebook Description

JupyterLab Notebook Description


  •         JupyterLab is a web-based interactive development environment which is used for Jupyter notebooks and data and custom modules in an integrated and extendable manner. 
  •        JupyterLab has various features like handling kernels and terminals and rapid CSV file viewer.
  •         JupyterLab is adaptable as it is used to configure and set out the interface to support a various kinds of functions in data science and machine learning applications. 
  •         JupyterLab is flexible and modular because it writes plugins that add new modules and combine with existing ones.
  •         JupyterLab offers improved support for third party extensions

SPYDER:

Spyder Scientific computing python IDE

Spyder Scientific computing python IDE


  •    Spyder is a scientific environment written in Python that helps in advanced editing and analysis.
  •        Spyder uses all the IPython magic commands and can manage configurations for command-line options and console etc.
  •        Spyder has multiple features like advanced editing, debugging, interactive execution, and beautiful visualization capabilities of a scientific package.
  •        Spyder can also be used as a PyQt5 extension library, which is used by developers to setup upon its functionality and embed its modules.
  •        Spyder also works in static code analysis and has a capability to search and modify variables.

VISUAL STUDIO CODE:

VS code(Visual Studio Code)

VS code(Visual Studio Code)


  •         Visual Studio Code is a code editor that is optimized for building, code completion and debugging
  •       VS Code is flexible and personalized and working with Git and other SCM providers become easier.
  •        VS Code is allows you to modify the themekeyboard shortcuts and install extensions
  •        Visual Studio Code can be used along with various programming languages like java, JavaScript and C++ etc.
  •       Visual Studio Code includes multiple extensions for FTP that allows the software to be used as a free alternative for web development.

GLUEVIZ:

Glueviz Description

Glueviz Description


  •      Glueviz helps in multidimensional data visualization across files, uses flexible linking across data and also has full scripting capability.
  •         Glueviz has multiple features like Linked Statistical Graphics, Flexible linking across data and Full scripting capability.
  •         Glueviz allows user to easily investigate information across datasets and even separate files.
  •        Glueviz enables the user to interactively explore subsets of data across visualizations and datasets. This is supported by two features: brushing and linking.
  •         Glueviz is used to create a simple interface that can manipulate a lot of information. It is a multidisciplinary tool that consists of multiple applications being used in like on astronomy field, medical field, and many other kinds of data.

ORANGE3:

Orange Description

Orange Description


  •       Orange3 is an Open source machine learning and data visualization toolkit for novice and expert users and it is also used for Interactive data analysis.
  •        Orange3 has a canvas interface in which the user places widgets and creates a data analysis workflow. 
  •         Orange3 also offers basic functionalities such as reading the data, selecting features, comparing learning algorithms, visualizing data elements etc.
  •        Orange3 consists of various other applications like in education field, in Text mining, for geospatial data and network analysis and many more.
  •         Orange3 consists of various data exploration, preprocessing and modeling techniques. 

R STUDIO

R Studio

R Studio


  • R Studio is an IDE that consists of a console and syntax-highlighting editor that allows direct code execution and various tools for plotting and work space management.
  •        R studio brings the workflow together and also has excellent authoring and debugging.
  •         R Studio allows fast navigation to files and functions and also includes multiple coding tools which are used to enhance productivity.
  •         R Studio supports authoring HTML, PDF, Word Documents and has integrated support for Git and Subversion.
  •        R Studio runs on most desktops and is easily acquired over the web which makes simpler to start new or find existing projects.

QT CONSOLE:

QT Console(Ipython Console)

QT Console(Ipython Console)


  •          QT Console is an application that provides a number of improvements, such as inline figures, multi-line editing with syntax highlighting, and much more.
  •         QT Console has various features like embedded figures and has hand-coded emacs-style bindings for text navigation.
  •        QT Console supports in saving the existing session as either HTML or XHTML and also used in process management.
  •       QT Console also offers a block indent and unindent feature, allowing an entire selection to be indented or unindented at once.
  •       QT Console can be integrated with any editor, that allows you to assemble your very own Spyder or MATLAB-like IDE.
  • To know how to install anaconda navigator in easy steps follow: https://cluebots.com/blog/installing-anaconda-in-easy-steps