1. Tab ( A Linux Shell Utility ) :-
A modern text processing language that's similar to awk in spirit.
- Designed for concise one-liner aggregation and manipulation of tabular text data.
- Makes no compromises on performance; aims to be no slower than traditional old-school UNIX shell utilities whenever possible.
- Feature-rich enough to support even very complex queries. (Also includes a good set of mathematical operations.)
- Statically typed, type-inferred, declarative.
Note:- By end of this weekend, will write a blog post "Tutorial on Tab:- A Linux Shell Utility"
2. Deep Learning Tutorial :- From Perceptron to Deep Networks :-
- In this tutorial, author is introducing the reader to the key concepts and algorithms behind deep learning, begging with the simplest unit of composition and building to the concepts of machine learning in Java
3. Faster Apache Pig with Apache Tez
- Apache Pig 0.14.0 released on Nov 20th, 2014; And the good news is Tez if now one of the execution engine.
4. 10 Data Science Newsletters to subscribe to
A modern text processing language that's similar to awk in spirit.
- Designed for concise one-liner aggregation and manipulation of tabular text data.
- Makes no compromises on performance; aims to be no slower than traditional old-school UNIX shell utilities whenever possible.
- Feature-rich enough to support even very complex queries. (Also includes a good set of mathematical operations.)
- Statically typed, type-inferred, declarative.
Note:- By end of this weekend, will write a blog post "Tutorial on Tab:- A Linux Shell Utility"
2. Deep Learning Tutorial :- From Perceptron to Deep Networks :-
- In this tutorial, author is introducing the reader to the key concepts and algorithms behind deep learning, begging with the simplest unit of composition and building to the concepts of machine learning in Java
3. Faster Apache Pig with Apache Tez
- Apache Pig 0.14.0 released on Nov 20th, 2014; And the good news is Tez if now one of the execution engine.
4. 10 Data Science Newsletters to subscribe to
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