45. Edit and run
documents
while
describing
the data
analysis
Provides
multi-line
editing
with syntax
highlighting,
graphical tips,
and much
more
Unique
combination
editing,
analysis,
debugging,
and reporting
functionality
Environment
for
interactive
and
reproducible
computing
Enables the
Python
environment
by default.
Anaconda
prompt Jupyter lab
Jupyter
Notebook Qt console Spyder
Why Anaconda?
47. Data mining
framework.
Data analysis
&
visualization
Use Python
more
efficiently in
big data
and
data science
projects.
Multi
dimensional
data
visualization
across files
RStudio is an
(IDE) for R
Programming
for statistical
computing
and graphics.
R studio Glueviz Orange PyCharm
Additional