English, mostly
SQL, R, Python, Julia (My guesses, not a data scientist but these seem best equipped or easy to do DS with)
Popular Python Libraries: Popular Full-Stack Frameworks: 1. Django 2. TurboGears 3. web2py Other Full-Stack Frameworks: 1. Cubicweb 2. Django - Hotsauce 3. Giotto 4. Grok 5. Pylons 6. Reahl 7. Wheezy.web 8. Zope2 Data science: Core Libraries & Statistics: 1. Numpy 2. SciPy 3. Pandas 4. StatsModules Visualization: 1. Matplotlib 2. Seaborn 3. Plotly 4. Bokeh 5. Pydot Machine Learning: 1. Scikit-learn 2. XGBoost / LightGBM / CatBoost 3. Eli5 Deep Learning: 1. Tensorflow 2. PyTorch 3. Keras Distributed Deep Learning: 1. Dist-keras / elephas / spark-deep-learning Natural Language Processing: 1. NLTK 2. SpaCy 3. Gensim Data Scraping: 1. Scrapy 2. Urllib 3. Python Requests 4. Selenium 5. Beautifulsoup 6. LXML Game: 1. PyGame 2. Pyglet 3. PyOpenGL 🔰
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