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Python Data Science Tasks List

Cross-Sectional (Horizontally Applicable Tasks)

Mathematical / Statistical Sub-domains

Statistics and Probability Tools

  • Probability Distributions
  • Regression
  • Bayesian Inference
  • Multivariate Statistics
  • Robust Statistical Methods
  • Survival Analysis
  • Time Series Analysis
  • Cluster Analysis & Finite Mixture Models
  • Design of Experiments (DoE) & Analysis of Experimental Data
  • Extreme Value Analysis
  • Decision Analysis

Models, Algorithms and Simulation

Data-Adapted Tools

Workflow and Support Tools

Sectoral (Domain-Specific Tasks)

Health Sector

  • Analysis of Pharmacokinetic Data
  • Chemometrics and Computational Physics
  • Clinical Trial Design, Monitoring, and Analysis
  • Medical Image Analysis

Biological and Environmental Sciences

  • Phylogenetics, Especially Comparative Methods
  • Statistical Genetics
  • Analysis of Ecological and Environmental Data
  • Hydrological Data and Modeling

Social Sciences & Humanities

  • Statistics for the Social Sciences
  • Official Statistics & Survey Methodology
  • Teaching Statistics
  • Psychometric Models and Methods

Economics, Finance and Insurance Sectors

Physical Sciences and Engineering

  • Astronomy
  • Atmospheric Science
  • Oceanography

PyPI Scientific/Engineering Classification Topics

  • Artificial Intelligence
  • Artificial Life
  • Astronomy
  • Atmospheric Science
  • Bio-Informatics
  • Chemistry
  • Electronic Design Automation
  • GIS
  • Human Machine Interfaces
  • Hydrology
  • Image Processing
  • Image Recognition
  • Information Analysis
  • Interface Engine/Protocol Translator
  • Mathematics
  • Medical Science
  • Oceanography
  • Physics
  • Visualization
  • Algorithm. Algorithms are self-contained sequences that carry out a variety of tasks.
  • Code Quality / Review. Automate your code review with style, quality, security, and test‑coverage checks when you need them. Ensure your code meets quality standards and ship with confidence.
  • Data Structures. Organizing and Storing Data.
  • Data Visualization. Graphic representation of data and trends.
  • Database. Structured Set of Data stored in a server.
  • Deep Learning. Artificial NN composed of many layers.
  • Machine Learning.
  • Deployment.
  • Documentation.
  • LaTex.
  • Publishing.