Accept yourself, your strengths, your weaknesses, your truths, and know what tools you have to fulfill your purpose.
Steve Maraboli
As a data scientist, you should master some professional software and specific software packages, which will help you achieve your goals quickly.Below are links to some of the software and software packages that I often use.Hope they are helpful for your data analysis.They include basic commands of the operating system, computer language syntax, and many specific software packages for specific purposes. Welcome to use them for free to help you improve your work efficiency.
Python
Basics
Python3.7
SciPy
numpy
matplot
Pandas
cufflinks
ipywidgets
Binder
mybinder
Statistics
Xarray
statsmodels
BayesPy
Machine Learning
Scikit-learn
Tensorflow
Keras
H2O
TPOT
H2O AutoML
PySpark
Natural language processing
NLTK
Spacy
scispacy
TextBlob
gensim
pke
Web mining
requests
regex101
BS4
scrapy
Web Apps
Plotly
Dash
Flask
Jinja
CommonMark
Image processing
opencv
emoji
JavaScript
Basics
node.js
jquery.js
angular
reactjs
request
glob
bootstrap
HTML5
CSS
Statistics
csv
Lodash
jStat
FPS
Visualization
chalk
color
D3
highcharts
openlayers
mapbox
leafletjs
Others
json-logic
cytoscape
SQL/NoSQL
Database
mySQL
LearningApacheSpark
Spark SQL
Oracle
MongoDB
Amazon DynamoDB
SQLite Python
Apache Hadoop
Hadoop Commands
Apache hive
Apache Pig
Apache Spark
BI Tools
Tableau
Power BI
Looker
ELK
Elasticsearch.py
GIS
Esri ArcGis
QGIS
Tools
Image Color Picker
color paletton
graphreader
WebPlotDigitizer
FFmpeg
freeformatter.com
Ectendsclass
Python
Cheat-Sheets
myGithub
soundbible
emoji
emoji-cheat-sheet
svg.path
svgpathtools
xmlbeautifier
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