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docker run --rm \
-v ~:/home/jovyan/work \
-p 8888:8888 \
-p 4040:4040 \
-p 4041:4041 \
jupyter/pyspark-notebookimport pyspark
from pyspark.sql import SparkSession
#spark context
sc = pyspark.SparkContext('local[*]')
#spark session
spark = SparkSession.builder.appName('App name').getOrCreate()
# do something to prove it works
rdd = sc.parallelize(range(1000))
rdd.takeSample(False, 5)!pip install py_d3 -q%load_ext py_d3%%d3
<div id="my_dataviz"></div>
<script>
//your code here
</script>- Resilient distributed datasets: A fault-tolerant abstraction for in-memory cluster computing
- MapReduce: Simplified Data Processing on Large Clusters
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- APACHE DRILL: Interactive Ad-Hoc Analysis at Scale
- A New Approach to Linear Filtering and Prediction Problems
- Top 10 algorithms on Data mining
| Preview | Description |
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A visual guide to Becoming a Data Scientist in 8 Steps by DataCamp (img) |
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Mindmap on required skills (img) |
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Swami Chandrasekaran made a Curriculum via Metro map. |
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by @kzawadz via twitter |
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By Data Science Central |
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From this article by Berkeley Science Review. |
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Data Science Wars: R vs Python |
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How to select statistical or machine learning techniques |
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Choosing the Right Estimator |
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The Data Science Industry: Who Does What |
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Data Science Venn Diagram |
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Different Data Science Skills and Roles from this article by Springboard |
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A simple and friendly way of teaching your non-data scientist/non-statistician colleagues how to avoid mistakes with data. From Geckoboard's Data Literacy Lessons. |
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