Python Podcast
Claim This Podcastby Jochen Wersdörfer / Dominik Geldmacher
Podcast Overview
<p data-block-key="bnsg6"><i>Wir wollten über</i> <b><i>Python</i></b> <i>reden. Meistens tun wir das auch.</i></p>
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12/1/2018
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Recent Episodes
December 8, 2025
Data Science
<article> <header> <h2> <a class="text-dark text-decoration-none" href="https://python-podcast.de/show/data-science/">Data Science</a> (click here to comment) </h2> <!-- link is on one line to avoid underlined whitespace --> <a href="https://python-podcast.de/show/data-science/"><time date-time='2025-12-08T14:40:00+01:00'>8. Dezember 2025</time>,</a> <span class="author">Jochen</span> </header> <section class="block-overview"> <section class="block-paragraph"> <p data-block-key="1x2pd">🎙️ Zu Gast: <a href="https://www.inwt-statistics.de/">Mira</a> – Data Scientist, Geschäftsführerin einer Berliner Data-Science-Beratung und Host des Podcasts <a href="https://inwt.podbean.com/">Data Science Deep Dive</a>.</p><p data-block-key="ccjc"><a href="https://mastodon.social/@oryon_dominik">Dominik</a> und <a href="https://fedi.wersdoerfer.de/@jochen">Jochen</a> sprechen mit ihr darüber, was Data Science in der Praxis heute bedeutet: weniger Machine-Learning-Magie, mehr solides Datenhandwerk – von der Problemanalyse über Feature Engineering bis hin zu Deployment, Monitoring und Drift. An konkreten Projekten (u. a. einer Luftschadstoff-Prognose für die Berliner Senatsverwaltung) wird klar, wo die echten Herausforderungen liegen – und wo die spannendsten Hebel sind.</p><p data-block-key="57m6u"></p><p data-block-key="df80b">In dieser Episode:</p><ul><li data-block-key="94lau">📊 Was "<a href="https://de.wikipedia.org/wiki/Data_Science">Data Science</a>" eigentlich umfasst – Skills, Rollen und warum man dafür nicht unbedingt Informatik studiert haben muss</li><li data-block-key="ddt3v">🔄 <a href="https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining">CRISP-DM</a> in der Praxis – vom Use-Case bis Wartung und Drift, und warum die Modellierung oft nur ein kleiner Teil ist</li><li data-block-key="9ktu7">🛠️ Tooling & Architektur – Pandas, Scikit-Learn, Polars, Kubernetes, ClickHouse, REST-API, MLflow und Alerting mit Redash</li><li data-block-key="a40s">🌳 <a href="https://xgboost.readthedocs.io/en/stable/">XGBoost</a> vs. <a href="https://github.com/PriorLabs/TabPFN">TabPFN</a> – warum Gradient Boosting immer noch der Klassiker ist und was Transformer-Modelle für tabulare Daten können</li><li data-block-key="e2krm">🔍 Feature Engineering & Interpretierbarkeit – mit <a href="https://christophm.github.io/interpretable-ml-book/shap.html">SHAP</a> verstehen, was das Modell gelernt hat</li><li data-block-key="6ejsb">⚡ Performance in der Realität – Spark vs. Polars, Sampling, vektorisierte Operationen und warum "verteilen" nicht automatisch schneller heißt</li><li data-block-key="7ev65">🚗 LLMs für Vorhersagen – Experimente mit Gebrauchtwagenpreisen und warum Finetuning hier Sinn macht</li></ul><p data-block-key="8jcmr"></p><p data-block-key="7p5t2">Unsere Picks:</p><ul><li data-block-key="2osll">Mira: Pandas <a href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.pandas_udf.html">UDFs für Parallelisierung in Spark</a> – von Stunden auf Minuten 🚀</li><li data-block-key="1a9ie">Dominik: <a href="https://github.com/casey/just">just</a> – <a href="https://youtu.be/TiBIjouDGuI?t=617">Hynek erklärt</a>, warum just der bessere Taskrunner ist als make</li><li data-block-key="v71g">Jochen: <a href="https://github.com/ryoppippi/ccusage">ccusage</a> / <a href="https://ccusage.com/guide/codex/">ccusage for codex</a> – Token-Kosten im Blick behalten bei claude code / codex</li></ul> </section> <section class="block-audio"> </section> </section> <section class="block-detail"> <section class="block-paragraph"> <h2 data-block-key="mg0mn">Shownotes</h2><p data-block-key="8d5sd">Unsere E-Mail für Fragen, Anregungen & Kommentare: <a href="mailto:hallo@python-podcast.de">hallo@python-podcast.de</a></p><h3 data-block-key="b9qd2">Data Science</h3><ul><li data-block-key="fbv0d"><a href="https://www.inwt-statistics.de/">Data Science Beratung inwt</a></li><li data-block-key="6h5pc"><a href="https://en.wikipedia.org/wiki/Cross-industry_standard_process_for_data_mining">Cross-industry standard process for data mining</a> CRISP-DM</li><li data-block-key="ef9t3">Visualisierungen: <a href="https://ggplot2.tidyverse.org/">ggplot2</a> / <a href="https://redash.io/">Redash</a></li><li data-block-key="8u8uc"><a href="https://pandas.pydata.org/">pandas</a> / <a href="https://pola.rs/">polars</a> / <a href="https://spark.apache.org/docs/latest/api/python/index.html">PySpark</a></li><li data-block-key="c8t1"><a href="https://mlflow.org/">mlflow</a></li><li data-block-key="6ns18"><a href="https://yandex.com/dev/clickhouse/">ClickHouse</a></li><li data-block-key="70klt"><a href="https://xgboost.readthedocs.io/en/stable/">XGBoost</a> / <a href="https://catboost.ai/">CatBoost</a> / <a href="https://lightgbm.readthedocs.io/en/stable/">LightGBM</a> / <a href="https://github.com/PriorLabs/TabPFN">TebPFN</a> / <a href="https://shap.readthedocs.io/en/latest/example_notebooks/tabular_examples/tree_based_models/Basic%20SHAP%20Interaction%20Value%20Example%20in%20XGBoost.html">SHAP</a></li><li data-block-key="c3389"><a href="https://ibis-project.org/">ibis</a> / <a href="https://arrow.apache.org/">arrow</a></li></ul><h3 data-block-key="1g09e">Picks</h3><ul><li data-block-key="8n1v9"><a href="https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.pandas_udf.html">pandas_udf</a></li><li data-block-key="9niao"><a href="https://youtu.be/TiBIjouDGuI?t=617">uv: Making Local Python Workflows FAST and BORING in 2025</a> | Starts at the justfile part..</li><li data-block-key="2jqk7"><a href="https://github.com/ryoppippi/ccusage">ccusage</a> / <a href="https://ccusage.com/guide/codex/">ccusage for codex</a></li><li data-block-key="1mkt0"><a href="https://elevenlabs.io/">ElevenLabs</a> / <a href="https://notebooklm.google/">NobebookLM</a> | Um sich Podcasts zu generieren..</li><li data-block-key="7ihco"><a href="https://inwt.podbean.com/">Data Science Deep Dive</a></li></ul> </section> </section> </article>
June 30, 2025
Platonismus und Python - Data Class Builders
Jochen, Johannes, and Dominik discuss data class builders, mathematics, and pattern matching, exploring the nuances of data structures and code design in this engaging episode.
April 25, 2025
Live von der DjangoCon Europe 2025 in Dublin - Tag 3
<article> <header> <h2> <a class="text-dark text-decoration-none" href="https://python-podcast.de/show/live-von-der-djangocon-europe-2025-in-dublin-tag-3/">Live von der DjangoCon Europe 2025 in Dublin - Tag 3</a> (click here to comment) </h2> <!-- link is on one line to avoid underlined whitespace --> <a href="https://python-podcast.de/show/live-von-der-djangocon-europe-2025-in-dublin-tag-3/"><time date-time='2025-04-25T09:19:00+02:00'>25. April 2025</time>,</a> <span class="author">Jochen</span> </header> <section class="block-overview"> <section class="block-paragraph"> <p data-block-key="9ll0w">Wir melden uns wieder von der DjangoCon Europe 2025 aus der Hotellobby. Diesmal haben wir <a href="https://pretalx.evolutio.pt/djangocon-europe-2025/speaker/BRQMXT/">Sebastian</a> dabei, der am ersten Tag einen Vortrag über die Feinheiten in den Django Release Notes gehalten hat, den wir leider nicht sehen konnten, weil wir da noch mit Podcastaufnehmen beschäftigt waren. Er kommt auch aus dem Rheinland und betreibt in Köln eine <a href="https://www.djangsters.de/en/">Agentur für Softwareentwicklung und Beratung</a>.</p><p data-block-key="49heo"><b>In dieser Episode diskutieren wir:</b></p><ul><li data-block-key="agbi3">📊 <b>Django für Data Science</b> - William Vincent zeigt, warum Django auch für Data Scientists interessant ist</li><li data-block-key="7l001">🚀 <b>Sebastians Vortrag zu Django 5.2 LTS</b> - Kleine aber wichtige Verbesserungen zwischen den Releases 4.2 und 5.2, die euren Code besser machen</li><li data-block-key="fp8is">💾 <b>Dynamic Models</b> - Ein Blick auf einen spannenden (und etwas gewagten) Ansatz</li><li data-block-key="1t8gp">🔐 <b>Passkeys und Multi-Factor-Authentication</b> - Sind Passkeys die Zukunft der Authentifizierung?</li></ul><p data-block-key="32m0t"><b>Außerdem:</b></p><ul><li data-block-key="c08k5">🎙️ Ein Blick hinter die Kulissen des RealPython-Podcasts - was wir von deren Produktion lernen können</li><li data-block-key="4r3oo">🎯 Lightning Talks - Von Accessibility über Lint-Rules bis hin zu Film-Biases</li><li data-block-key="csf3g">🗄️ Datenbankoperationen unter der Haube - Was passiert eigentlich, wenn man Model.objects.all() ausführt?</li><li data-block-key="elrlp">🌐 1001 Django-Seiten - Erfahrungen und Herausforderungen beim Hosting zahlreicher Django-Anwendungen</li></ul><p data-block-key="5o1k5">Hört rein für technische Einblicke, lebhafte Diskussionen und einen Rückblick auf drei intensive Konferenztage in Dublin! 🎙️🍀</p> </section> <section class="block-audio"> </section> </section> <section class="block-detail"> <section class="block-paragraph"> <h2 data-block-key="oazw9">Shownotes</h2><p data-block-key="dodnh">Unsere E-Mail für Fragen, Anregungen & Kommentare: <a href="mailto:hallo@python-podcast.de">hallo@python-podcast.de</a></p><h3 data-block-key="7km02">Links</h3><ul><li data-block-key="20hfb"><a href="https://2025.djangocon.eu/">DjangoCon Europe 2025</a></li><li data-block-key="b68kg"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/ATA3HV/">The fine print in Django release notes</a></li><li data-block-key="20b2"><a href="https://docs.djangoproject.com/en/5.2/releases/5.1/#querystring-template-tag">{% querystring %} template tag</a></li><li data-block-key="3jaqh"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/DGQ9JD/">Dynamic models without dynamic models</a></li><li data-block-key="cin6s"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/Q9V9ZR/">Passkeys in Django: the best of all possible worlds</a></li><li data-block-key="cedgq"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/Y3X9VT/">Steering Council introduction</a></li><li data-block-key="63ho3"><a href="https://foxleytalent.com/">Foxley Talent</a> | Django / Python Recruiter</li><li data-block-key="6e2d2"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/STZPLT/">Django for Data Science: Deploying Machine Learning Models with Django</a></li><li data-block-key="ffk1d"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/KNLFS8/">Feature Flags: Deploy to some of the people all of the time, and all of the people some of the time!</a></li><li data-block-key="e7qpc"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/9TRSPC/">Just-in-Time Development with Django and HTMX: Faster, Leaner, and Smarter</a></li><li data-block-key="dujvv"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/BQHSMN/">Anatomy of a Database Operation</a></li><li data-block-key="1n4oi"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/LPUSJR/">One Thousand and One Django Sites</a></li><li data-block-key="3u5ph"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/GABN73/">Europe, Django and two-factor authentication</a></li><li data-block-key="93keb"><a href="https://pretalx.evolutio.pt/djangocon-europe-2025/talk/WKMHAU/">Django Admin at Scale: From Milliseconds to Microseconds 🚀</a></li></ul> </section> </section> </article>
67 total episodes available
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