Python R Online training in India
Python R Online Training in India, Python R Online Training classes in india -
with 100% placement support -Webtrackker is the best Python R Online Training Institute In india, Python Coaching In india. Python has
consistently ranked in the top ten most popular programming languages (As per
TIOBE Programming Community Index). Python R Online Training in India : This year i.e. 2017 Python is fourth most
popular language. Python was ranked as Programming language of the year in 2007
and 2016. It shows its popularity and its essentiality in programming world.
- R: R is the Open source counterpart of
SAS, which has traditionally been used in academics and research. Because
of its open source nature, latest techniques get released quickly. There
is a lot of documentation available over the internet and it is a very
cost-effective option.
- Python: With origination as an open source
scripting language, Python usage has grown over time. Today, it sports
libraries (numpy, scipy and matplotlib) and functions for almost any
statistical operation / model building you may want to do. Since
introduction of pandas, it has become very strong in operations on
structured data.
I’ll compare these
languages on following attributes:
- Availability / Cost
- Ease of learning
- Data handling capabilities
- Graphical capabilities
- Advancements in tool
- Job scenario
- Deep Learning Support
- Customer service support
and Community
I am comparing these
from point of view of an analyst. So, if you are looking for purchasing a tool
for your company, you may not get complete answer here. The information below
will still be useful. For each attribute I give a score to each of these 3
languages (1 – Low; 5 – High).
The weightage for
these parameters will vary depending on what point of career you are in and
your ambitions.
R and Python have
the biggest online communities but no customer service support. So if you have
trouble, you are on your own. You will get a lot of help though.
R – 3.5
Python – 3.5
, Python has had great
advancements in the field and has numerous packages like Tensorflow and Keras.
R has recently added
support for those packages, along with some basic ones too. The kerasR and
keras packages in R act as an interface to the original Python package, Keras.
Python – 4.5
R – 3
We see the market
slightly bending towards Python in today’s scenario. It will be pre-mature to
place bets on what will prevail, given the dynamic nature of industry.
Depending on your circumstances (career stage, financials etc.) you can add
your own weights and come up with what might be suitable for you. Here are a
few specific scenarios:
- If you are some one who has
already spent time in industry, you should try and diversify your
expertise be learning a new tool.
- For experts and pros in
industry, people should know at least 2 of these. That would add a lot of
flexibility for future and open up new opportunities.
- If you are in a start-up /
freelancing, R / Python is more useful.
Strategically,
corporate setups that require more hands-on assistance and training choose SAS
as an option.
Researchers
and statisticians choose R as an alternative because it helps in heavy
calculations. As they say, R was meant to get the job done and not to ease your
computer.
Python
has been the obvious choice for startups today due to its lightweight nature
and growing community. It is the best choice for deep learning as well.
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