All Articles (30)
structlog: Structured Logging in Python (2026) python-pptx in 2026: Automate PowerPoint Reports with Python python-docx: Create and Edit Word Documents with Python (2026) pypdf: Merge, Split and Edit PDFs with Python (2026) openpyxl: Automate Excel Files with Python (2026) Hypothesis: Property-Based Testing in Python (2026) tiktoken: Count LLM Tokens in Python (2026) pydantic-settings: Typed Env Config in Python (2026) orjson: Fast JSON in Python (2026) PyArrow Tables + Parquet in Python (2026) SQLAlchemy 2.0 ORM in Python (2026): Mapped Models + Session Build Semantic Search with ChromaDB in Python (2026) Build ML Demos with Gradio in Python (2026) Build Interactive Python Web UIs with NiceGUI (2026) Build Interactive Web Apps with FastHTML (2026) Type-Check Python Fast with Astral ty (2026) Stream Large Responses with FastAPI JSON Lines (2026) Build Interactive UIs with FastAPI + HTMX (2026) Deploy FastAPI on Cloudflare Python Workers (2026) Serve a SPA with FastAPI app.frontend() (2026) Safe SQL & HTML with Python 3.14 t-strings (PEP 750) Hybrid Search in LanceDB with Vector + BM25 (Python 2026) Compose Agents with Pydantic AI v2 Capabilities (2026) Build Terminal UIs with Textual in Python (2026) Portable DataFrames with Ibis and DuckDB in Python (2026) Code Agents with Hugging Face smolagents in Python (2026) Constrained LLM Generation with Outlines in Python (2026) One DataFrame API for Pandas and Polars with Narwhals (2026) Turn PDFs into LLM-Ready Markdown with Docling (2026) Trace LLM Apps with Langfuse in Python (2026)

Data Science Full Course for Beginners (3 Hours) — Zero to a Real Project – Source Code

An end-to-end introduction to data science in Python using real public datasets. It covers NumPy and pandas, cleaning messy data, grouping and charts, then basic statistics and machine learning (regression, classification, k-means). A two-part final project loads, explores, models and evaluates a dataset from start to finish.

Duration
3:11:05
Tools
Python 3.14.7, numpy 2.5.3, pandas 3.0.6, matplotlib 3.11.2, seaborn 0.13.2, scipy 1.18.1, scikit-learn 1.9.1

Watch the course

Bundled datasets keep their own licences

The MIT licence covers the code only. The datasets in data/ keep their own licences, listed in DATA_LICENSES.txt:

  • penguins.csv – palmerpenguins, CC0 1.0.
  • customers_messy.csv – invented practice data.

The California Housing data is not included. The project loads it with scikit-learn's fetch_california_housing() on first run, so you need an internet connection once.

Chapters

  1. 00:00Welcome & the finished project
  2. 04:59Setup: Python, venv, packages, data
  3. 12:55Python refresher for data
  4. 24:19NumPy arrays & vectorised maths
  5. 36:41pandas: Series, DataFrames, inspecting data
  6. 46:51Selecting, filtering & sorting
  7. 57:27Cleaning messy data
  8. 1:08:37groupby, merge & pivot tables
  9. 1:19:27Charts with matplotlib & seaborn
  10. 1:37:33Statistics: distributions, correlation, t-test
  11. 1:53:08Machine learning: linear regression
  12. 2:10:04Classification, confusion matrix & overfitting
  13. 2:26:04Unsupervised learning: k-means clustering
  14. 2:34:30Final project 1: load, clean, explore
  15. 2:46:17Final project 2: model, evaluate, conclude
  16. 2:58:05Expert map: what to learn next
Download source code

File: data-science-full-course-code.zip

Size: 20.8 KB (21,281 bytes)

SHA-256:
b3536cda102875b54d25fe9722e067a3a9f565387e177f9427566ba05f70bd46

Licence: code is released under the MIT licence, copyright PyInns. See LICENSE and README inside the zip. Free learning code, not production code.

Built-in Functions
abs() in Python 2026: Absolute Value, Complex Numbers & Modern Use Cases aiter() in Python 2026: Asynchronous Iterator Protocol & Modern Async Usage all() in Python 2026: Check If All Elements Are True + Modern Patterns & Use Cases anext() in Python 2026: Asynchronous Next + Modern Async Iterator Control any() in Python 2026: Check If Any Element Is True + Modern Patterns & Use Cases ascii() in Python 2026: Safe String Representation & Modern Debugging Use Cases bin() in Python 2026: Binary Representation, Bit Manipulation & Modern Use Cases bool() in Python 2026: Truthy/Falsy Conversion + Modern Patterns & Use Cases breakpoint() in Python 2026: Modern Debugging with PDB, IDEs & Best Practices Built-in Functions in Python 2026 – Complete Guide & Best Practices bytearray() in Python 2026: Mutable Binary Sequences + Modern Use Cases & Best Practices bytes() in Python 2026: Immutable Binary Sequences + Modern Use Cases & Best Practices callable() in Python 2026: Check If Object Is Callable + Modern Patterns & Use Cases chr() in Python 2026: Unicode Character from Integer + Modern Encoding Use Cases classmethod() in Python 2026: Class Methods, Alternative Constructors & Modern Best Practices