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Original post on mastodon.online

#Steady #Klimacrew

#VibeCoding mit KI-Programmierhilfen in Visual Studio Code ausprobiert.

Ich habe zwei KI-Assistenzen für die direkte Integration in VSCode getestet, ob sie meine Erwartungen erfüllen. Welche Lösung wirklich hilft, die Arbeit effizienter zu gestalten, zeigt sich erst beim […]

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Free Python Course | Link in Description and Comments #amitthinks #pythontutorial #amitthinkspython
Free Python Course | Link in Description and Comments #amitthinks #pythontutorial #amitthinkspython YouTube video by Amit Thinks

Free Python Course:
youtube.com/shorts/vOQmm...

#pythonlearning #pythonprogramming #learnpython #pythoncoding

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Falsche Diagrammwerte können auf Dubletten in den #Analysedaten zurückzuführen sein. So etwas kann beim Denormalisieren passieren. Je nach Diagrammzweck muss gegebenfalls eine Filterlogik angewendet werden. Das geht alles on-the-fly zur […]

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Wieso wirken manche #Diagramme blasser als andere? Wie korrigiere ich Missverständnisse in der #Fachspezifikation? Wer mit Vibe Coding arbeitet, kann genauso wie beim normalen #Prompting iterativ vorgehen. Schritt für Schritt stellt man […]

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Warum weist das #Marktstammdatenregister für #Pumpspeicher eine doppelt so hohe Kapazität aus wie offizielle Quellen? Für diesen Widerspruch gibt es Erklärungen, nach denen man erst graben muss. Besonders bei #Pumpspeicherkraftwerke​n zeigt […]

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Warum tauchten manche #Pumpspeicherkraftwerke in meiner Datenanalyse gar nicht auf, obwohl sie im #Marktstammdatenregister gelistet sind? Über diesem Mysterium musste ich doch etwas länger knobeln. Aber die Nuss wurde geknackt. 😊 […]

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Wie kann man den Ausbautrend für #Batteriespeicher besser grafisch visualisieren? Nicht jede Zählart kann neue Inbetriebnahmen von #Batteriegroßspeichern gut darstellen. Kleinere Aggregationsintervalle entscheiden, ob man Entwicklungen […]

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Python and Azure-A Dynamic Duo for Cloud Success In the ever-evolving landscape of cloud computing, the combination of Python programming and Microsoft Azure forms a dynamic duo that empowers developers and organizations to achieve unprecedented ...

Python and Azure-A Dynamic Duo for Cloud Success
www.ekascloud.com/our-blog/pyt...
#Python #Azure #CloudSuccess #CloudComputing #PythonForCloud #AzureDevelopers #CloudEngineering #TechInnovation #ProgrammingSkills #CloudSolutions #Ekascloud #FutureOfTech #LearnAzure #PythonCoding #Digital

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Original post on mastodon.online

#Steady-#Klimacrew

#Datenanalyse von #Stromspeicher​n: Wie lassen sich extreme Werteunterschiede grafisch sinnvoll darstellen? Was macht man, wenn eine lineare Skala ungeeignet erscheint? Bei der #Datenanalyse der #Batteriespeicher aus dem #Marktstammdatenregister musste ich manchmal zur […]

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Python and AI Training Near Thaltej and Satellite Ahmedabad | TCCI

Python and AI Training Near Thaltej and Satellite Ahmedabad | TCCI

Upskill in AI & Python! TCCI offers expert, 1-on-1 training near Thaltej & Satellite. Secure high-paying tech jobs in Ahmedabad's 2026 market.

👉tccicomputercoaching.wordpress.com/2026/02/09/python-ai-tra...

#Thaltej #Satellite #AITraining #PythonCoding #TCCI

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V - S1 EP19 Lab 6 - Machine Learning in Python - Using Python Tuple Methods - in Python #pythoncoding #machinelearningtutorial #PythonForDataScience #dataengineering #mlforbeginners #datascience #algorithims #softwaredeveloper #machinelearning #statistics

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S1 EP19 Lab 5 - Machine Learning in Python - How to Join Tuples - in Python #codingforbeginners #algorithims #softwaredeveloper #pythoncoding #machinelearningtutorial #PythonForDataScience #dataengineering #mlforbeginners #datascience #machinelearning #statistics #learnpython

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S1 EP19 Lab 4 - Machine Learning in Python - Looping Through Tuples - in Python #learntocode #statistics #datascience #PythonForDataScience #dataengineering #softwaredeveloper #codingforbeginners #algorithims #pythoncoding #machinelearningtutorial #mlforbeginners

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Good news for computing leads! Python in Pieces is included with every Purple Mash subscription.
Dive into guided Python with automarked challenges - perfect for UKS2.
Find out more: zurl.co/aW8AC

#ComputerScience #KS3coding #python #steam #coding #pythoncoding #Year6

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S1 EP18 Lab 9 - Machine Learning in Python - How to do Negative Indexing - and Slicing in Python #pythoncoding #datascience #PythonForDataScience #machinelearningmodels #dataengineering #codingforbeginners #machinelearningbasics

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S1 EP18 Lab 8 - Machine Learning in Python - What Is a Tuple - in Python #datascienceforbeginners #algorithims #codingforbeginners #jupyternotebook #pythoncoding #datascience #PythonForDataScience

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S1 EP18 Lab 7 - Machine Learning in Python - What Is a frozenset - in Python #learntocode #machinelearningtutorial #pythoncoding #datascience #PythonForDataScience #machinelearningmodels #dataengineering abs

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S1 EP18 Lab 6 - Machine Learning in Python - Symmetric Difference - in Python Set #learntocode #machinelearningtutorial #pythoncoding #datascience #PythonForDataScience #machinelearningmodels loper #machinelearning #learnpython #algorithims inners #jupyternotebook #machinelearningbasics

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S1 EP18 Lab 5 - Machine Learning in Python - How to get Difference - Values in One Set Only #statistics #softwaredeveloper #machinelearning #learnpython #algorithims #learntocode #machinelearningtutorial #pythoncoding #datascience #PythonForDataScience asics

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S1 EP18 Lab 4 - Machine Learning in Python - How to Modify a Set with - Intersection in Python #machinelearningbasics #jupyternotebook #statistics #softwaredeveloper #machinelearning #learnpython #algorithims #learntocode #machinelearningtutorial #pythoncoding #datascience

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S1 EP18 Lab 3 - Machine Learning in Python - How to use Intersection - Function in Python Sets #machinelearningbasics #python #jupyternotebook #mlforbeginners #statistics #softwaredeveloper #machinelearning #learnpython #algorithims #learntocode #machinelearningtutorial #pythoncoding #datascience

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S1 EP18 Lab 2 - Machine Learning in Python - Modify a Set with update - vs union function #codingforbeginners #datascienceforbeginners #PythonForDataScience #machinelearningtutorial #datascience #pythoncoding #machinelearningbasics #python #jupyternotebook

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S1 EP17 Lab 9 - Machine Learning in Python - Python Sets Understanding - Looping Through Items #python #pythoncoding #datascience #vscode #machinelearningbasics #softwaredeveloper #learnpython #algorithims #learntocode #jupyterlabs

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S1 EP17 Lab 8 - Machine Learning in Python - Remove Random Item in Set - or Removes all items #PythonForDataScience #codingforbeginners #datascienceforbeginners #python #pythoncoding #datascience #vscode #machinelearningbasics

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S1 EP17 Lab 7 - Machine Learning in Python - Removing Items from - Python Sets #machinelearningtutorial #jupyternotebook #mlforbeginners #dataengineering #PythonForDataScience #codingforbeginners #datascienceforbeginners #python #pythoncoding #datascience #vscode #machinelearningbasics

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V - S1 EP17 Lab 3 - Machine Learning in Python - del vs pop Important - Difference in Python #learnpython #pythoncoding #algorithims #learntocode #machinelearningmodels #statistics #machinelearning #machinelearningtutorial #datascience #jupyternotebook

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S1 EP17 Lab 2 - Machine Learning in Python - del keyword Deletes Single - & Multiple List Items#machinelearningtutorial #jupyterlabs #datascience #jupyternotebook #mlforbeginners #learnpython #pythoncoding #algorithims #learntocode #machinelearningmodels #statistics

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S1 EP17 Lab 1 - Machine Learning in Python - del keyword - in Python #softwaredeveloper #dataengineering #pythoncoding #machinelearningtutorial #jupyterlabs #datascience #jupyternotebook #mlforbeginners #learnpython #algorithims #learntocode #machinelearningmodels #statistics

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S1 EP16 Lab 6 - Machine Learning in Python - Remove and Access with pop - from Python Set #pythoncoding #machinelearningtutorial #algorithims #mlforbeginners #jupyterlabs #datascience #jupyternotebook #machinelearningbasics #datascienceforbeginners #softwaredeveloper #machinelearningmodels

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S1 EP16 Lab 5 - Machine Learning in Python - Check If an Item Exists - within Python Set #machinelearning #PythonForDataScience #pythoncoding #machinelearningtutorial #algorithims #mlforbeginners #jupyterlabs #datascience #jupyternotebook

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