Data Science Special Topics

Time Series Forecasting

• sktime: Scikit-Learn Extension for Time Series
• statsmodels: Time Series Analysis
• GluonTS: MXNet/Gluon Deep Learning for Time Series

Time Series Features

• TSFresh: Time Series Feature Engineering
• tslearn: Time Series Features
• Pandas Time Series
• Arrow: Human-Friendly Time

Web

• beautifulsoup / BS4: Extract data from HTML
• requests-html: HTML Parsing
• scrappy: Web crawling

MS Office & PDF

• XlsxWriter: Create Excel Workbooks
• pyexcel: Read/Write Excel
• xlwings: Call python from Excel
• python-docx: Word Documents
• python-pptx: PowerPoint Documents
• pdfminer: Text extraction from PDF
• textract: Extract text from any document
• PyPDF2: Create PDF documents
• gspread: Google Sheets

Text Analysis & NLP

• NLTK: Text Tokenization & Modeling
• spaCy: NLP using Cython for Speed
• fuzzywuzzy: Fuzzy String Matching
• Annoy: Approximate Nearest Neighbors
• LightFM: Popular recommendation algo's.

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Apps & APIs

• FastAPI: Web framework for building APIs in Python
• Flask: Web Development
• Dash & Streamlit: DS Web Frameworks

MLOps

• MLFIow: Machine Learning Lifecycle, Tracking, Deployment
• MetaFlow: Scalable AWS Jobs for Data Scientists

Cloud

• boto3: AWS Python SDK
• Google Cloud: GCP Python SDK
• Azure: Azure Python SDK

ETL & Automations

• Airflow: Workflow Scheduling & Monitoring
• Luigi: Batch Job Tool, Scheduling, Monitoring
• Ansible: Deployment Automation
• JobLib: Run python jobs

Machine Learning

• Scikit-Learn: ML in Python
• H2O: Scalable & AutoML
• TPOT: TPOT Automated ML Tool
• PyCaret: PyCaret Low Code ML
• Dask ML: Scalable ML with Dask
• XGBoost
• LightGBM
• CatBoost

Feature Engineering

• Featuretools: Automated Feature Engineering
• sklearn-pandas: Sklearn Extension for Pandas
• category encoders: Categorical Encoding
• imbalanced-learn: Resampling for lmbalanced

Deep Learning

• TensorFlow
• Keras
• pytorch
• MXNet
• Gluon
• GluonTS
• OpenAl Gym: Reenforcement Learning

Image & Comp Vision

• OpenCV: Open Source Computer Vision
• Scikit Image: Image Processing
• Pillow: Python Imaging Library

Speed & Scale

• datatable: C++ Speed Up
• Dask (CS): Parallel Pandas
• RAPIDS (CS)- GPU Accelerated Pandas
• PySpark: Spark Clusters
• Optimus: PySpark Extension for Humans

Coming from R?

• R-to-Pandas Comparison
• siuba & plydata: dplyr/tidyr ports
• datatable: data.table port
• plotnine: ggplot2 port