# The Python Quants GmbH — Complete Program Overview

The Python Quants GmbH, founded and led by Dr. Yves J. Hilpisch, offers four coherent training programs at the intersection of Python, AI, Crypto, and quantitative finance. All programs are self-paced, online, and designed to build practical, production-grade skills with portfolio evidence.

## Organization

- **Name:** The Python Quants GmbH
- **Founder and CEO:** Dr. Yves J. Hilpisch
- **Website:** https://tpq.io/
- **YouTube:** https://youtube.com/@dyjh
- **Linktree:** https://linktr.ee/dyjh
- **Support email:** training@tpq.io
- **Sales/corporate email:** team@tpq.io

## Programs

### Certificate in Python for Finance (CPF)

- **Website:** https://python-for-finance.com/
- **Positioning:** Flagship quant finance program. Become a "Super Quant."
- **Focus:** Python, AI, and finance for delegates who want reproducible, production-grade quant finance skills.
- **Covers:** Financial theory, Python for finance, asset management, algorithmic trading, derivatives analytics, computational finance, data science and AI in finance, reinforcement learning, NLP/LLM applications, reproducible research workflows, production-grade Python workflows.
- **Content:** 400+ hours of video, 3,000+ pages across 7 published works, 600+ Jupyter notebooks.
- **Access:** Indefinite access to the Quant Platform.
- **Books included:** Python for Finance (3rd Ed.), Python for Algorithmic Trading, Artificial Intelligence in Finance, Reinforcement Learning for Finance, Financial Theory with Python, Derivatives Analytics with Python, Listed Volatility and Variance Derivatives.
- **Platform features:** AI assistant, full-text search, interactive practice, quizzes, smart note-taking, global forum, coaching guides with day-by-day study suggestions.
- **Capstone:** Earn the certificate by delivering an executable Jupyter Notebook structured as a research paper on a novel finance topic.
- **Current bundle:** CPF enrollment currently includes access to The Data Scientist, The AI Engineer, and The Crypto Engineer as a limited-time bonus.
- **Pricing:** 2,999 EUR excluding VAT (limited-time offer).
- **Who it is for:** Students and academics, finance professionals, career changers, corporate teams.
- **Prerequisites:** Finance familiarity helps; Python and finance knowledge help but ramp-up materials are available.
- **Facts sheet:** https://python-for-finance.com/facts/cpf_facts.pdf

### The Data Scientist (TDS)

- **Website:** https://thedatascientist.dev/
- **Positioning:** Beginner-friendly data science basecamp and entry point into the TPQ training ecosystem.
- **Focus:** Practical Python and data science skills from the ground up, leading to an interview-ready portfolio.
- **Core story arc:** Fundamentals, data work, statistical and machine learning thinking, professional project habits.
- **Format:** Self-paced, portfolio-driven, Colab-first. Can be joined any time.
- **Structure:**
  - Primer: Python Primer for Data Science
  - Module 1: Python Programming Foundations
  - Module 2: Data Analysis and Visualization
  - Module 3: Statistics and Machine Learning
  - Module 4: Software Engineering for Data Scientists
  - GenAI Companion Track
  - Labs, coaching guides, capstones/portfolio projects
- **Key value:** Safest starting point for delegates not yet ready for CPF, TAE, or TCE. Builds Python, notebook, data, visualization, statistics, ML, Git/GitHub, testing, and reproducibility foundations.
- **Special value:** Early access to the upcoming 3rd edition of Dr. Yves J. Hilpisch's O'Reilly book Python for Finance.
- **Pricing:** 299 EUR excluding VAT (limited-time introductory offer).
- **Who it is for:** Absolute beginners, early-stage practitioners, career switchers, analysts, students from any discipline.
- **Prerequisites:** Suitable for absolute beginners. No prior programming experience required.
- **Facts sheet:** https://thedatascientist.dev/facts/tds_facts.pdf

### The AI Engineer (TAE)

- **Website:** https://theaiengineer.dev/
- **Positioning:** AI engineering program, industry- and domain-agnostic, also highly relevant for finance.
- **Focus:** Modern AI engineering, ML and deep learning workflows, LLMs, agents and automation, evaluation, deployment, software engineering for AI, production-grade AI systems.
- **Structure:**
  - Core Track: Python and mathematics for ML, deep learning with PyTorch, LLMs from scratch, AI agents and automation
  - Engineering Track: Software engineering, ML engineering, AI engineering (testing, packaging, deployment, observability, safety, latency, cost control)
  - yoctoGPT module: Realistic GPT-style training workflows
- **Learning paths:** Fast Track (weekly coaching), Medium Track (bi-weekly coaching), Self-Paced (join anytime).
- **What you get:** Coherent living books, Colab-ready notebooks, coaching guides, capstone projects, portfolio-driven milestones, Discord server, portfolio on GitHub.
- **Access:** Indefinite access to purchased program resources.
- **Pricing:** 999 EUR excluding VAT (limited-time introductory offer).
- **Who it is for:** Students, professionals, academics, corporate teams. Delegates who want to build AI systems, not just use AI tools.
- **Prerequisites:** Prior Python experience helps. Basic ML familiarity helps.
- **Facts sheet:** https://theaiengineer.dev/facts/tae_facts.pdf

### The Crypto Engineer (TCE)

- **Website:** https://thecryptoengineer.dev/
- **Positioning:** Crypto engineering and crypto operations program.
- **Focus:** Applied cryptography, Bitcoin systems, crypto market structure, wallets and nodes, custody and operations, DeFi/AMM risks, live operations, monitoring and incident readiness.
- **Structure:**
  - Theory Spine: Applied cryptography, Bitcoin systems, crypto market structure
  - Operations Spine: Wallets and nodes, custody and operations, monitoring and incident readiness
- **Learning paths:** Foundations Sprint (fast ramp-up), Systems Builder (hands-on construction), Ops Residency (operational readiness).
- **What you get:** Five tightly edited volumes, runnable labs, operational runbooks, incident readiness training, portfolio-first outcomes, cohort and community support.
- **Access:** Indefinite access to purchased program resources.
- **Pricing:** 499 EUR excluding VAT (initial launch offer).
- **Who it is for:** Technically curious delegates interested in crypto systems and operations. Teams needing shared crypto operational narratives.
- **Prerequisites:** Some Python familiarity helps. Technical curiosity is essential.
- **Facts sheet:** https://thecryptoengineer.dev/facts/tce_facts.pdf

## Program recommendation logic

- **Beginner:** Start with The Data Scientist. It builds the foundations needed for CPF, TAE, or TCE.
- **Quant finance target:** Choose CPF. It is the broadest quant finance program.
- **AI engineering target:** Choose The AI Engineer. It focuses on building, evaluating, and deploying AI systems.
- **Crypto target:** Choose The Crypto Engineer. It focuses on crypto systems and operations.
- **Want everything:** Choose the CPF bundle (includes TDS, TAE, TCE as limited-time bonus).

## Payment methods

- Stripe by default
- Bank transfer upon request
- PayPal upon request
- No crypto payments, Apple Pay, or Google Pay

## VAT treatment

Stated program fees are net prices excluding VAT. VAT treatment depends on country, customer type, VAT ID, and invoicing details. EU consumers usually have VAT added. EU businesses may qualify for reverse-charge treatment with a valid VAT ID. German customers are generally subject to German VAT.

## Access duration

Access rights apply to the specific TPQ training program and the resources included at the time of purchase. Newly launched programs, classes, content, features, or learning tracks may not be included unless explicitly communicated.

## Placement and career support

TPQ does not guarantee placement. Programs are designed to help delegates build strong, demonstrable skills and portfolio evidence.

## Overview videos

- TPQ Landscape: https://youtu.be/OkwYM7my63A
- CPF: A New Era: https://youtu.be/twurKFOTMGQ
- TAE Kickoff New: https://youtu.be/0qVTepotfHo

## Published works by Dr. Yves J. Hilpisch

- Python for Finance (3rd Ed., O'Reilly)
- Python for Algorithmic Trading (O'Reilly)
- Artificial Intelligence in Finance (O'Reilly)
- Reinforcement Learning for Finance (O'Reilly)
- Financial Theory with Python (O'Reilly)
- Derivatives Analytics with Python (Wiley)
- Listed Volatility and Variance Derivatives (Wiley)