Resources

Python for Researchers

Essential tools, libraries, documentation, and learning materials specifically curated for leveraging Python in research workflows.

Core Essentials & Environment Setup

Python Official Documentation

The definitive source for Python language features, standard library, and tutorials. Essential reference.

Anaconda Distribution

Popular Python/R distribution for scientific computing. Simplifies package management (conda) and environment setup.

Pip & Virtual Environments (`venv`)

Understand Python’s standard package installer (`pip`) and the importance of creating isolated project environments (`python -m venv myenv`).

Key Scientific Libraries

NumPy

Fundamental package for numerical computation. Efficient arrays, linear algebra, random numbers.

Pandas

High-performance, easy-to-use data structures (like DataFrames) and data analysis tools.

Matplotlib

Comprehensive library for creating static, animated, and interactive visualizations.

Seaborn

Statistical data visualization based on Matplotlib. High-level interface for attractive graphics.

SciPy

Ecosystem of open-source software for mathematics, science, and engineering. Includes modules for optimization, stats, signal processing.

Scikit-learn

Machine learning library. Tools for classification, regression, clustering, model selection, and more.

Development Tools & Workflow

Jupyter Notebook / Lab

Web-based interactive development environment. Ideal for data exploration, analysis, and visualization.

Visual Studio Code

Free, powerful source code editor with excellent Python support (IntelliSense, debugging, notebooks).

PyCharm (Community Edition)

Dedicated Python IDE with code analysis, graphical debugger, and integrated unit tester. Free community version available.

Git & GitHub / GitLab

Essential version control system (Git) and hosting platforms (GitHub, GitLab) for tracking changes and collaboration.

Learning, Reference & Community

Tutorials & Articles

Community & Style

Further Learning (Platforms)

Explore dedicated Python/Data Science tracks (check for free/audit options):

General Online Learning Platforms

Khan Academy

Free resources for math, science, computing, and more. Good for foundational concepts.

Coursera

Courses from universities worldwide. Many relevant topics for researchers (check free/audit options).

Codecademy

Interactive platform focused on learning coding skills across various languages.

edX

Access courses from top institutions globally, including many technical and scientific subjects.

Productivity & Collaboration Tools

Google Workspace

Suite of tools (Docs, Sheets, Slides, Drive, Calendar). Free tier available. Excellent for collaboration.

Slack

Team communication platform for messaging, file sharing, and organizing conversations.

Zoom

Video conferencing tool for meetings, webinars, and virtual collaboration.

Notion

All-in-one workspace for notes, tasks, wikis, and databases. Highly flexible for organization.

Trello

Kanban-style list-making application. Great for project management and task tracking.

Study Aids & Reference

Flashcards & Spaced Repetition

Mind Mapping & Visualization

Note Taking

Google Scholar

Broad search for scholarly literature across disciplines and sources.

JSTOR

Digital library of academic journals, books, and primary sources (often requires institutional access).

PubMed Central (PMC)

Free full-text archive of biomedical and life sciences literature.