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  • 2020-2024  (48)
  • 2023  (48)
  • Deza, Alfredo
  • Grimm, Wilhelm
  • Safari Tech Books Online
Material
Language
Year
  • 1
    Language: German
    Pages: 113 mm x 50 mm, 200 g
    Edition: Originaltext der Ausgabe letzter Hand, 1. Auflage (100 Exemplare)
    Uniform Title: Kinder- und Hausmärchen
    DDC: 390
    Keywords: Anthologie ; Künstlerbuch ; Kinderbuch ; Deutsch ; Märchen ; Buchkunst
    Note: Erschienen: 12 Mini-Heftchen im Schuber, exklusive Ausgabe mit Golddruck, künstlerischen Einbänden und goldenem Schmuckbändchen, Teilausgabe der Kinder- und Hausmärchen
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  • 2
    Language: German
    Parallel Title: Erscheint auch als Briefwechsel der Brüder Jacob und Wilhelm Grimm
    DDC: 398.2092243
    RVK:
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    Keywords: Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Philologists Correspondence ; Germany ; Philologists Correspondence ; Briefsammlung ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Grimm, Wilhelm 1786-1859 ; Grimm, Jacob 1785-1863
    Note: Enth. Briefe von Jacob und Wilhelm Grimm , Bd. 1. Briefwechsel zwischen Jacob und Wilhelm Grimm : T. 1. Text. T. 2. Zusätzliche Texte; Sagenkonkordanz. T. 3. Kommentar / verfasst und herausgegeben von Stephan Bialas-Pophanken , Bd. 2. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Karl Bartsch, Franz Pfeiffer und Gabriel Riedel , Bd. 3. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Hugo , Bd. 4. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Theodor Georg von Karajan, Wilhelm Wackernagel, Johann Hugo Wyttenbach und Julius Zacher , Bd. 5. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit den Verlegern des "Deutschen Wörterbuchs" Karl Reimer und Salomon Hirzel , Bd. 6. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Rudolf Hildebrand, Matthias Lexer und Karl Weigand , Bd. 7. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Freytag, Moriz Haupt, Heinrich Hoffmann von Fallersleben und Franz Joseph Mone , Bd. 8. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Johann Martin Lappenberg, Friedrich Lisch und Georg Waitz , Bd. 9. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit ihren älteren Verwandten , 1,1 (2001) -
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  • 3
    Language: German
    Parallel Title: Erscheint auch als Briefwechsel der Brüder Jacob und Wilhelm Grimm
    DDC: 398.2092243
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    Keywords: Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Grimm, Jacob Correspondence ; Grimm, Wilhelm Correspondence ; Philologists Correspondence ; Germany ; Philologists Correspondence ; Briefsammlung ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Grimm, Wilhelm 1786-1859 ; Grimm, Jacob 1785-1863
    Note: Enth. Briefe von Jacob und Wilhelm Grimm , Bd. 1. Briefwechsel zwischen Jacob und Wilhelm Grimm : T. 1. Text. T. 2. Zusätzliche Texte; Sagenkonkordanz. T. 3. Kommentar / verfasst und herausgegeben von Stephan Bialas-Pophanken , Bd. 2. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Karl Bartsch, Franz Pfeiffer und Gabriel Riedel , Bd. 3. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Hugo , Bd. 4. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Theodor Georg von Karajan, Wilhelm Wackernagel, Johann Hugo Wyttenbach und Julius Zacher , Bd. 5. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit den Verlegern des "Deutschen Wörterbuchs" Karl Reimer und Salomon Hirzel , Bd. 6. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Rudolf Hildebrand, Matthias Lexer und Karl Weigand , Bd. 7. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Gustav Freytag, Moriz Haupt, Heinrich Hoffmann von Fallersleben und Franz Joseph Mone , Bd. 8. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit Johann Martin Lappenberg, Friedrich Lisch und Georg Waitz , Bd. 9. Briefwechsel der Brüder Jacob und Wilhelm Grimm mit ihren älteren Verwandten , 1,1 (2001) -
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  • 4
    Language: German
    Additional Information: Rezension Kaiste, Jaanna [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 3, Gemeinsame Werke, Bd. 43-45] 2006
    Additional Information: Rezension Beck, Heinrich [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Speer, Heino [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Lecouteux, C. [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Bd. 17-18] 1994
    Additional Information: Rezensiert in Pöge-Alder, Kathrin, 1965 - [Rezension von: Grimm, Jacob, 1785-1863, Werke] 2006
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica
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  • 5
    Book
    Book
    Hildesheim [u.a.] : Olms-Weidmann
    Language: German
    Additional Information: Rezension Kaiste, Jaanna [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 3, Gemeinsame Werke, Bd. 43-45] 2006
    Additional Information: Rezension Beck, Heinrich [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Speer, Heino [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Abt. 1. Bd. 17-18] 1995
    Additional Information: Rezension Lecouteux, C. [Rezension von: Grimm, Jacob; Grimm, Wilhelm, Werke, Forschungsausgabe, Bd. 17-18] 1994
    Additional Information: Rezensiert in Pöge-Alder, Kathrin, 1965 - [Rezension von: Grimm, Jacob, 1785-1863, Werke] 2006
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica
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  • 6
    Language: German
    Pages: TIFF, Vers.6.0, 600 dpi, 1 bit (s/w), ITU group 4; Digitalisierungsvorlage: Primärausgabe
    Edition: Electronic. ed. Hildesheim [u.a.] Olms 2006 Olms online. Reprints. Sammlung zur Philosophie und deutschsprachigen Literatur des 16. bis 20. Jahrhunderts
    Edition: Göttingen GDZ
    Former Title: Teilw. u.d.T. Grimm, Jacob: Sämtliche Werke
    Note: Nachdr. teilw. in der Reihe Documenta linguistica , SUB Göttingen
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  • 7
    Language: German
    Pages:
    Parallel Title: Elektronische Reproduktion Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 8
    Language: German
    Pages:
    Parallel Title: Elektronische Reproduktion Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 9
    Language: German
    Pages:
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 10
    Language: German
    Edition: Große Ausgabe
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 11
    Language: German
    Pages: octavo
    Edition: Neue durchges. Ausg.
    Keywords: Anthologie ; Kinderbuch ; Anthologie ; Kinderbuch ; Deutsch ; Märchen
    Note: T. 1. 2
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  • 12
    Language: German
    Edition: Große Ausg.
    Parallel Title: Online-Ausg. Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder und Hausmärchen.
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 13
    Language: German
    Edition: Große Ausg.
    Parallel Title: Online-Ausg. Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder- und Hausmärchen
    Parallel Title: Elektronische Reproduktion Kinder und Hausmärchen.
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 14
    Language: German
    Pages: 24 cm
    DDC: 398.2
    Keywords: Kinder- und Hausmärchen ; Fairy tales ; Germany ; Anthologie ; Kinder- und Hausmärchen ; Vergleichende Märchenforschung
    Note: Enth. Literaturangaben und Register
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  • 15
    Language: German
    Pages: 113 mm x 50 mm, 200 g
    Edition: Originaltext der Ausgabe letzter Hand, 1. Auflage (100 Exemplare)
    Uniform Title: Kinder- und Hausmärchen
    DDC: 390
    Keywords: Anthologie ; Künstlerbuch ; Kinderbuch ; Deutsch ; Märchen ; Buchkunst
    Note: Erschienen: 12 Mini-Heftchen im Schuber, exklusive Ausgabe mit Golddruck, künstlerischen Einbänden und goldenem Schmuckbändchen, Teilausgabe der Kinder- und Hausmärchen
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  • 16
    Language: German
    Edition: Große Ausg.
    Edition: Online-Ausgabe Berlin Staatsbibliothek zu Berlin - Preußischer Kulturbesitz 2021 Historische Drucke digital
    Edition: Nachlass Grimm digital
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 17
    Language: German
    Pages: 24 cm
    Additional Information: Rezension Karbusicky, Vladimir [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 1 - 3. 1985-89] 1991
    Additional Information: Rezension Schade, Ernst [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 2 - 3. 1987-89] 1991
    Additional Information: Rezension Schenda, Rudolf [Rezension von: Volkslieder, aus der Handschriftensammlung der Universitätsbibliothek Marburg, Brüder Grimm. Hrsg. von Charlotte Oberfeld ..., Bd. 1 - 3 . 1985-89] 1990
    Keywords: Aufsatzsammlung ; Grimm, Jacob 1785-1863 ; Volkslied ; Grimm, Wilhelm 1786-1859 ; Volkslied
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  • 18
    Language: German
    Pages: octavo
    Series Statement: Märchen der Weltliteratur ...
    Keywords: Anthologie ; Deutschland ; Märchen
    Note: In Fraktur
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  • 19
    ISBN: 3424007358 , 3424007366
    Language: German
    Pages: 20 cm
    Series Statement: Die Märchen der Weltliteratur
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  • 20
    ISBN: 315030024X , 9783150300428 , 9783150300480
    Language: German
    Pages: 20 cm; (2001-2010): 17 cm
    Edition: Ausg. letzter Hand mit den Orig.-Anm. der Brüder Grimm
    Former Title: Gesamtausgabe
    DDC: 398.20943
    RVK:
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    Keywords: Anthologie ; Deutsch ; Märchen
    Note: Literaturangaben
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  • 21
    Language: German
    Pages:
    Additional Information: Rezension Wardetzky, Kristin "Mit Überraschung bemerkt man die Verwandtschaft mit den Märchen anderer weit entfernter Völker" 2014
    Keywords: Kinder- und Hausmärchen ; Märchenforschung ; Lyrik ; Literatur ; Deutsch ; Prosa ; Kommentar ; Kinder- und Hausmärchen ; Märchenforschung ; Lyrik ; Literatur ; Deutsch ; Prosa
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  • 22
    Language: German
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  • 23
    Language: German
    Parallel Title: Elektronische Reproduktion Grimm, Jacob, 1785 - 1863 Deutsches Wörterbuch
    DDC: 433
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    Keywords: German language ; Dictionaries ; German language - Dictionaries ; Wörterbuch ; Deutsch ; Grimm, Jacob 1785-1863 ; Grimm, Wilhelm 1786-1859 ; Deutschland ; Geschichte
    Abstract: Neubearbeitung
    Note: Quellen-Verz. im Verl. Huth, Göttingen, erschienen. - Quellen-Verz., photomechanischer Neudr. im Verl. Funk, Berlin, ersch.
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  • 24
    ISBN: 315030024X , 9783150300428 , 9783150300480
    Language: German
    Pages: 20 cm; (2001-2010): 17 cm
    Edition: Ausg. letzter Hand mit den Orig.-Anm. der Brüder Grimm
    Former Title: Gesamtausgabe
    DDC: 398.20943
    RVK:
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    Keywords: Anthologie ; Deutsch ; Märchen
    Note: Literaturangaben
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  • 25
    Language: German
    RVK:
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    Keywords: Kinder- und Hausmärchen ; Vergleichende Märchenforschung
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  • 26
    Book
    Book
    Berlin : Kinderbuchverl.
    ISBN: 3358000923
    Language: German
    Pages: 16 cm
    Uniform Title: Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen
    Note: Teilausg
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  • 27
    Online Resource
    Online Resource
    Berlin : bei G. Reimer
    Language: German
    Pages:
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Haus-Märchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
    Note: In Fraktur
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  • 28
    ISBN: 3150231914
    Language: German
    Pages: 15 cm
    Edition: Ausg. letzter Hand mit den Originalanmerkungen der Brüder Grimm
    Series Statement: (Reclams) Universal-Bibliothek ...
    RVK:
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    Keywords: Anthologie ; Märchen
    Note: Literaturangaben
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  • 29
    Online Resource
    Online Resource
    Göttingen : Dieterich
    Language: German
    Edition: Große Ausg.
    Edition: Online-Ausgabe Berlin Staatsbibliothek zu Berlin - Preußischer Kulturbesitz 2021 Historische Drucke digital
    Edition: Nachlass Grimm digital
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 30
    Language: German
    Edition: Große Ausgabe
    Edition: Online-Ausgabe München Bayerische Staatsbibliothek 2022 1 Online-Ressource
    Parallel Title: Elektronische Reproduktion von Kinder- und Hausmärchen
    Keywords: Anthologie ; Kinderbuch ; Deutsch ; Märchen ; Prosa ; Literatur
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  • 31
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 5 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3
    Keywords: Artificial intelligence Study guides Examinations ; Microsoft Azure (Computing platform) Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Microsoft Azure AI Fundamentals (AI-900) Certification Pass the AI Fundamentals certification This early release (ongoing) course will give you everything you need to pass the Azure AI Fundamentals (AI-900) certification. This is the foundational certification for doing Machine Learning and Data Science using Azure and its specialized services. The course will go into every content that is relevant to pass the certification including how to create a study guide and strategy to pass the exam. This course includes and covers all of the author's study notes so that you can use them in addition to your own notes . Course overview This course contains a complete walkthrough over all of the content relevant for the AI-900 certification with a summary and specialized notes after each sections, following the same content that is available as Learning Paths. Aside from the video content, create your own study notes and strategy using the example reference guide Course Content Get Started with AI Get Started with AI Study notes Get Started with Artificial Intelligence on Azure About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience studying and passing the AI-900 is seen throughout this course, where you will get a first-hand experience with study notes, example repositories, and a solid study strategy. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed January 10, 2023)
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  • 32
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (32 min.)) , sound, color.
    Edition: [First edition].
    DDC: 004.67/82
    Keywords: Windows Azure ; Machine learning ; Artificial intelligence ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: This introductory lesson will walk you through everything you need to know to quickly get started with Azure ML Studio using AutoML. After creating the necessary resources, you'll walk through the steps needed to create a regression job using a dataset. Next you'll create a compute cluster and review the different options available and finally, you'll analyze the results after the best model is selected.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed January 23, 2023)
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  • 33
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 33 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.4/32
    Keywords: Linux ; Operating systems (Computers) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Linux for Beginners A hands on and practical introduction of Linux This early release (ongoing) course will give you a foundational knowledge to quickly get started with Linux. You will learn practical examples packaged in easy-to-follow videos that give you just enough knowledge to use Linux. There is a strong focus on using the terminal exclusively for this course, which is the best way to ensure a wide variety of Linux environments can be used with almost no difference in concepts. The course will not cover deep Linux internals or advanced usage. It will also not go through specialized scenarios that are meant to pass a Linux certification. Learn objectives Use a terminal to navigate the file system Understand different Linux versions and use readily available versions without installing Linux Use a shell with common features Create and edit files using a terminal text editor Manage system processes and services Install and remove packages About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O’Reilly, viewed February 7, 2023)
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  • 34
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 49 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Python (Computer program language) ; Rust (Computer program language) ; Computer software Development ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: DevOps command-line tools in Python and Rust Use both Python and Rust to automate systems engineering tasks In this introductory course, you will learn how to build powerful command-line tools using Python and Rust. You will discover how to set up a development environment, incorporate user input, expand functionality using modules and libraries, and optimize performance for common DevOps and Systems Engineering tasks. Whether you're new to programming or an experienced developer, this course will teach you the fundamentals of building command-line tools using Python and Rust. By the end of the course, you'll have the skills to automate tasks and improve the efficiency of your DevOps and Systems Engineering workflows. This course includes GitHub repositories that you can use as a reference for all the learning content: Python CLI Examples Rust CLI Examples Learn objectives Set up a development environment for building command-line tools. Build basic command-line tools. Expand the functionality of command-line tools using modules and libraries. Create a simple command-line tool using Rust and understand the basic structure of a Rust-based CLI tool. Incorporate user input, such as arguments and options. Learn how to organize code into modules and packages, and work with dependencies and libraries in both Python and Rust. About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed April 24, 2023)
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  • 35
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 7 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Introduction to MLflow for MLOps Learn how to use MLflow for managing the machine learning lifecycle. Track experiments, package models, and deploy to production. In this course you'll learn how to use MLflow - an open source platform for managing the machine learning lifecycle. You'll learn how to: Install MLflow and explore its components like the UI, tracking, and model packaging Log metrics, parameters, and artifacts to track ML experiments Create reproducible ML projects with MLflow for repeatable model training Package models and dependencies for deployment and serving Use model registries to version, stage, and deploy models Deploy models to tools like Azure ML and SageMaker This course includes hands-on exercises, projects, and real-world examples so you can apply your new MLflow skills immediately. Use the reference repository for MLFlow examples and projects: Example MLFlow Projects Learning objectives Install and configure MLflow Use the tracking UI and APIs Log metrics, parameters, tags, and artifacts Create reproducible ML projects Version, stage, and deploy models with registries Deploy models to Azure ML, SageMaker, etc Lesson 1: Introduction to MLflow Lesson Outline Overview of MLflow components Installation and configuration Tracking experiments with UI, Python, R APIs Logging metrics, params, tags, artifacts Lesson 2: MLflow Projects Lesson Outline Motivation for reproducible ML projects Creating project directories Running projects locally or on Git Customizing execution environments Lesson 3: MLflow Models Lesson Outline Packaging models and dependencies Model versioning with registries Staging and promoting model stages Deploying models to services About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to work with MLFlow and apply it to MLOps tasks. Resources Pytest Master Class Practical MLOps book.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 36
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 27 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) ; SQL (Computer program language) ; Computer programming ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Scripting with Python and SQL for Data Engineering Learn Python data structures, web scraping, SQL, and MySQL from the ground up. Master essential skills for collecting, storing, and working with data. In this hands-on course for beginners, you'll learn how to: Store and manipulate data using Python lists, dictionaries, JSON Write reusable scripts to process data Connect Python to databases like SQLite and MySQL Query, import, and export data with SQL Scrape and parse websites using Beautiful Soup and Scrapy Persist scraped data to databases and files You'll use the following example repositories to practice: Mapping data in Python Python Scripting Scrapping Basics Key topics include: Mapping, iterating, and persisting data structures Creating modules, scripts, and workflows in Python SQL essentials - queries, statements, aggregations Setting up connections from Python to SQLite and MySQL Scraping data locally and at scale with spiders Storing scraped data to optimize pipelines You'll build your data wrangling skills through practical examples and hands-on coding exercises in every lesson. By the end of the course, you'll have experience building end-to-end data engineering scripts. Whether you're a beginner looking to learn Python and SQL, or want to develop robust data engineering skills, this course will get you started. Enroll now and start collecting, storing, and working with data using Python and SQL You'll gain hands-on experience building Python scripts and SQL queries for common data engineering tasks. This course is divided in 4 weeks: Week 1 Working with Data in Python By the end of Week 1 you'll be able to: Apply Python data structures like lists, dicts Extract data from sources like CSV, JSON Load and persist data using JSON Lesson 1: Data Structures in Python Lesson Outline Lists, tuples, dictionaries Working with pandas DataFrames Loading data files like CSV into data structures Lesson 2: Reading and Writing Data Lesson Outline Reading and writing CSV files Serializing Python objects with JSON Parsing and dumping JSON data Lesson 3: Persisting and Loading Data in Python Lesson Outline Loading data from files Saving data from Python to disk Loading and saving data to JSON Week 2 Python Scripting and SQL By the end of Week 2 you'll be able to: Write reusable Python scripts Use SQLite to persist data Query SQLite databases with Python Lesson 1: Python Scripting Techniques Lesson Outline Writing modular, reusable Python scripts Exception handling and logging Python virtual environments Lesson 2: Python with SQLite Lesson Outline Creating SQLite databases from Python Writing tables with SQLAlchemy Querying SQLite from Python with SQLAlchemy Week 3 Learning Objectives By the end of Week 3 you'll be able to: Scrape and collect data from websites Build scalable scraping scripts Persist scraped data to files/databases Lesson 1: Web Scraping with Python Lesson Outline HTML parsing and structure Using Beautiful Soup for scraping Storing scraped data in Python Lesson 2: Scalable Web Scraping Lesson Outline Scraping best practices Scaling scraping with multiprocessing Storing scraped data in databases Week 4 Learning Objectives By the end of Week 4 you'll be able to: Connect to MySQL from Python Execute SQL statements and queries Import and export data from MySQL Lesson 1: Python and MySQL Lesson Outline Installing MySQL and configuration Connecting Python to MySQL Executing queries and statements Lesson 2: Running SQL queries from VSCode Use Visual Studio Code to build SQL queries Execute and review SQL queries from Visual Studio Code Lesson 3: Importing and Exporting Data Lesson Outline Loading and exporting CSV data Best practices for moving data into MySQL Automating data imports with Python About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience teaching and authoring content about DevOps and MLOps will give you everything you need to get started applying these powerful concepts. Resources Python and Rust CLI Tools Linux For Beginners Hands on Python for MLOps.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 37
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (3 hr., 24 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.1
    Keywords: Rust (Computer program language) ; Computer software Development ; Rust (Langage de programmation) ; Instructional films ; Nonfiction films ; Internet videos ; Films de formation ; Films autres que de fiction ; Vidéos sur Internet
    Abstract: Rust For DevOps Learn how to use and apply DevOps principles using Rust This is an early release of the course. In this course, you will learn the basics of DevOps using the Rust programming language. DevOps helps you build, test, and deploy code faster while creating a robust foundation for your projects and teams. First, we will talk about what DevOps is. You will learn things like automation, monitoring, and working together as a team. Then, we will see how to use DevOps ideas in Rust code. You will learn about version control, testing, containers, and deploying Rust programs. Although this course explains the foundations of DevOps and using Rust which is ideal for beginners, experienced Rust developers will find solid advice in how to apply DevOps best practices to existing applications. Learning Objectives The core principles and practices of DevOps How to apply DevOps concepts to build, package, and deploy applications with Rust The basics of containerization and how to leverage containers for DevOps with Rust Course Content This course is divided into 4 weeks with 3 lessons that contain about 6 videos each. Each video is about 5 minutes long and contains a hands-on demonstration of the concepts covered in the lesson. The course is designed to be taken in order, but you can jump to any lesson you want to learn more about. Week 1: Introduction to DevOps Principles Introduction to DevOps Principles DevOps Considerations for Applications Basics of Containerization Week 2: Implementing monitoring and logging strategies Introduction to monitoring and logging strategies Tools and Services for monitoring and logging Logging with Rust About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build robust applications and infrastructure with the Rust programming language and for Rust applications. Resources Rust Bootcamp Deploy Rust on Azure Functions DevOps command-line tools in Python and Rust Switching to Rust from Python First Steps with Rust Learning Path.
    Note: Online resource; title from title details screen (O'Reilly, viewed September 05, 2023)
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  • 38
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (41 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Microsoft Azure (Computing platform) ; Cloud computing ; Cloud computing ; Microsoft Azure (Computing platform) ; Rust (Computer program language) ; Instructional films ; Internet videos ; Nonfiction films ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Deploy Rust on Azure Functions Learn how to deploy Rust functions to Azure Functions with this comprehensive video course. You will start by creating a simple HTTP-triggered function, and then use GitHub Actions to automate your deployment. Deploying Rust in Azure can be frustrating because there is no first-class support yet for it. You will learn what are some of the caveats and what are some strategies you can use to properly deploy a very basic Rust HTTP API. Course Overview We will start by covering the basics of Azure Functions and Rust, and then dive into more advanced topics such as configuring your function's environment, application settings, and using external crates. By the end of this course, you will have a working knowledge of how to deploy and manage your Rust functions on Azure Functions using automation to quickly re-deploy or update your function. Course Content Introduction to Azure Functions - Learn the basics of Azure Functions and how they work with Rust. Creating Your First Azure Function in Rust - Create a simple HTTP-triggered function in Rust and deploy it to Azure Functions. Configuring Your Function Environment - Learn how to use environment variables to configure your function's behavior. Use GitHub Actions for automation About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. With Alfredo's guidance, you will gain the knowledge and skills needed to deploy and manage your Rust functions on Azure Functions. Resources Deploying containers to Azure Practical MLOps book Automated Azure Resource Cleanup Azure Fundamentals Certification.
    Note: Online resource; title from title details screen (O'Reilly, viewed March 21, 2023)
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  • 39
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (6 hr., 12 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Rust (Computer program language) ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Rust Bootcamp Course Overview Welcome to our comprehensive Rust programming course! In this immersive learning experience, we will guide you through every aspect of Rust, empowering you to become a proficient developer. This course is ideal for beginners wanting to become proficient in Rust or from existing developers coming from languages like Python or JavaScript that want to learn Rust fundamentals. Get started by setting up your preferred text editor and installing Rust. We'll ensure that you have all the necessary tools to create a productive coding environment. By leveraging the capabilities of Visual Studio Code and enabling the Rust Analyzer, you'll unlock a feature-rich ecosystem that enhances your development workflow. Experience the game-changing potential of GitHub Copilot, an AI-powered assistant. Sign up for GitHub Copilot and witness its transformative impact on your coding experience. We'll guide you through the installation process and show you how to leverage its intelligent suggestions for accelerated programming. Master concepts and fundamentals like control flow, variable assignment, and immutability. Learn the intricacies of loops, conditional statements, and effective error handling techniques. With Rust's borrowing concept at your disposal, you'll develop secure and high-performance code. Build upon your foundation with advanced topics like structs, string manipulation, and working with vectors and enums. We'll explore real-world library development using Cargo, Rust's robust package manager. Effective documentation and debugging techniques will become second nature as you optimize your code. Organize your code effectively with modules, extending functionality and enhancing reusability. Dive into comprehensive testing methodologies to ensure the reliability and correctness of your programs. From writing tests for your code to handling private components, you'll gain expertise in developing robust software projects. Our immersive learning experience includes hands-on examples, interactive exercises, and practical projects. Rust's performance, safety, and expressiveness will be at your fingertips as you embrace its immense potential. Join us on this rewarding journey to unlock the power of Rust programming and propel your career forward. Enroll now and gain the skills, knowledge, and expertise to thrive in the world of Rust. Whether you're a beginner, coding novice, or an experienced developer seeking new horizons, our course is your gateway to writing elegant, reliable, and high-performance code. Embrace the possibilities of Rust and embark on a rewarding programming journey today with one of the most loved programming languages. Learning Objectives Gain a solid understanding of Rust's core concepts, including variable assignment, control flow, and immutability, to write efficient and reliable code. Master the utilization of powerful development tools such as Visual Studio Code and the Rust Analyzer, enhancing productivity and enabling seamless coding experiences. Explore GitHub Copilot and learn how to leverage its AI-driven suggestions to accelerate programming and boost code quality. Develop proficiency in working with advanced Rust features, such as structs, enums, and string manipulation, to build robust and flexible applications. Discover the intricacies of module organization and extend functionality through effective code structuring, promoting code reusability and maintainability. Acquire comprehensive testing skills, including writing tests for code components and handling private code, ensuring the reliability and correctness of Rust programs. Gain hands-on experience in real-world library development using Cargo, Rust's package manager, and become proficient in documenting code and debugging techniques. These compelling learning objectives will guide you through the course, helping you acquire essential skills and knowledge to become a confident Rust developer. Course Content This course is divided into 4 weeks with 3 lessons that contain about 6 videos each. Each video is about 5 minutes long and contains a hands-on demonstration of the concepts covered in the lesson. The course is designed to be taken in order, but you can jump to any lesson you want to learn more about. Week 1: Setting up your development environment Reference GitHub Repository Setting up your text editor Using GitHub Copilot with Rust Introduction to GitHub Codespaces for Rust Week 2: Rust fundamentals Reference GitHub Repository Introduction to Rust Loops and Control flow Function basics Week 3: Structs, Types, and Enums Reference GitHub Repository Using structured data Exploring strings and vectors Working with Enum and Variants Week 4: Applying Rust Reference GitHub Repository Building a real-world library Extending functionality with modules Testing Rust code About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University teaching Machine Learning, Cloud Computing, Data Engineering, Python, and Rust. With Alfredo's guidance, you will gain the knowledge and skills to build with the Rust programming language. Resources Deploy Rust on Azure Functions DevOps command-line tools in Python and Rust Switching to Rust from Python First Steps with Rust Learning Path.
    Note: Online resource; title from title details screen (O'Reilly, viewed June 13, 2023)
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  • 40
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (2 hr., 57 min.)) , sound, color.
    Edition: [First edition].
    DDC: 006.3/1
    Keywords: Machine learning Study guides Examinations ; Cloud computing Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Hugging Face for MLOps Learn how to leverage Hugging Face and its powerful machine learning capabilities. Build, train, and deploy your own models using the Hugging Face platform and libraries. In this course you'll get hands-on with Hugging Face and learn how to: Access and use pre-trained models from the Hub Fine-tune models with your own data Build machine learning pipelines with Hugging Face Transformers Add and version your own datasets Containerize and deploy Hugging Face models Automate workflows with GitHub Actions By the end, you'll have practical experience building, training, and deploying Hugging Face models, including production deployment to the Azure cloud. Learning objectives Find and use pre-trained models Fine-tune models for custom tasks Build ML pipelines with Hugging Face libraries Create and version datasets Containerize models for production Automate workflows for MLOps Lesson 1: Getting Started with Hugging Face Lesson Outline Overview of Hugging Face Hub Browsing models and datasets Using Hugging Face repositories Managing spaces and access Lesson 2: Applying Hugging Face Models Lesson Outline Downloading models from the Hub Using models with PyTorch/TensorFlow Leveraging tokenizers and pipelines Performing inference with Hub models Lesson 3: Working with Datasets Lesson Outline Browsing datasets on Hugging Face Uploading and managing datasets Versioning datasets with dataset cards Loading datasets in PyTorch/TensorFlow Lesson 4: Model Serving and Deployment Lesson Outline Containerizing Hugging Face models Creating inference APIs with FastAPI Deploying to cloud services like Azure Automating with GitHub Actions About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his experience teaching and authoring content about LOps will give you everything you need to get started applying these powerful concepts. Resources MLOps with Databricks Introduction to MLflow for MLOps Hands-on Python for MLOps.
    Note: "Pragmatic AI Labs course.". - Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 41
    Online Resource
    Online Resource
    [Place of publication not identified] : Pragmatic AI Solutions
    Language: English
    Pages: 1 online resource (1 video file (1 hr., 39 min.)) , sound, color.
    Edition: [First edition].
    DDC: 005.13/3
    Keywords: Python (Computer program language) Study guides Examinations ; Application program interfaces (Computer software) Study guides Examinations ; Machine learning Study guides Examinations ; Computer programming Study guides Examinations ; Instructional films ; Nonfiction films ; Internet videos
    Abstract: Hands-on Python for MLOps Build powerful APIs, tools, and scripts with Python Use Python to create APIs and automation scripts for machine learning operations. Learn to leverage APIs, build CLI tools, and develop web services. If you are new to Machine Learning Operations or want to know more about the foundations of Python for MLOps, this course will walk you through the basics. In this course, you'll learn how to use Python for automation, APIs, and building useful command-line interfaces. We'll cover consuming APIs, creating CLI tools, packaging projects, and building web services to expose machine learning models. The course includes hands-on examples and projects so you can apply what you learn right away. By the end of the course, you'll have practical skills to automate workflows and develop interfaces for machine learning. This course includes GitHub repositories you can reference: Python CLI Examples Basic Python CLI Web API with Python and Hugging Face models Learn objectives Consume and use APIs and SDKs in Python Create command-line programs for automation Develop web services and APIs with Python frameworks Package Python projects for distribution Apply skills to build useful interfaces for ML models Lesson 1: Working with APIs in Python Lesson Outline Overview of APIs and SDKs Using the Requests Library Consuming REST APIs Python SDKs like NumPy and SciPy Project: Building a Python script using APIs Lesson 2: Building Command-line Interfaces Lesson Outline Intro to automation with CLI tools Parsing arguments and options Organizing code into modules Python packaging for distribution Project: CLI tool for machine learning Lesson 3: Developing Web APIs Lesson Outline REST API concepts Web frameworks like Flask and FastAPI Building an API with Flask Developing APIs with FastAPI OpenAPI specs and documentation Project: Web API for movie recommendations About your instructor Alfredo Deza has over a decade of experience as a Software Engineer doing DevOps, automation, and scalable system architecture. Before getting into technology he participated in the 2004 Olympic Games and was the first-ever World Champion in High Jump representing Peru. He currently works in Developer Relations at Microsoft and is an Adjunct Professor at Duke University. This solid background in technology and teaching, including his past experience as a Linux system administrator is seen throughout this course, where you will get a first-hand experience with high-level knowledge and practical examples. Resources Pytest Master Class Practical MLOps book.
    Note: Online resource; title from title details screen (O'Reilly, viewed August 14, 2023)
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  • 42
    ISBN: 9783758430558
    Language: German
    Pages: Online-Ressource, 469 Seiten
    Edition: 2. Auflage
    DDC: 398.20943
    Keywords: Märchen ; (Produktform)Electronic book text ; (Zielgruppe)ab 1 bis 99 Jahre ; (BISAC Subject Heading)FIC010000 ; Andersen ; Grimm ; Hauff ; Märchensammlung ; Kinder ; Erwachsene ; Deutschland ; (VLB-WN)9114
    Library Location Call Number Volume/Issue/Year Availability
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  • 43
    ISBN: 9783757562625
    Language: German
    Pages: Online-Ressource, 136 Seiten
    Edition: 2. Auflage
    DDC: 398.20943
    Keywords: Märchen ; Deutsch ; Soldat ; (Produktform)Electronic book text ; (Zielgruppe)ab 1 bis 99 Jahre ; (BISAC Subject Heading)FIC010000 ; Brüder Grimm ; Kinder- und Hausmärchen ; Märchensammlung ; Sagen ; Hauptwerk ; Achim von Arnim ; Clemens Brentano ; (VLB-WN)9114 ; (Zielgruppe)Allgemein
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  • 44
    ISBN: 9783758429545
    Language: German
    Pages: Online-Ressource, 465 Seiten
    Edition: 2. Auflage
    DDC: 398.20943
    Keywords: Märchen ; (Produktform)Electronic book text ; (Zielgruppe)ab 1 bis 99 Jahre ; (BISAC Subject Heading)FIC010000 ; Andersen ; Grimm ; Hauff ; Märchensammlung ; Kinder ; Erwachsene ; Deutschland ; (VLB-WN)9114
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  • 45
    ISBN: 9783988370013 , 3988370010
    Language: German
    Pages: 159 Seiten , Illustrationen , 22 cm x 15.5 cm, 250 g
    Series Statement: Klassiker für Bewusstseinsbezogene Bildung
    DDC: 398.20943
    Keywords: Anthologie ; Deutschland ; Sage ; Deutsch ; Sage
    Note: Jacob und Wilhelm Grimm sind Sammler, Bearbeiter und Herausgeber der Deutschen Sagen
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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  • 46
    ISBN: 9783730607862
    Language: German
    Pages: 791 Seiten , Illustrationen
    Uniform Title: Die schönsten deutschen Märchen 2019 Köln
    DDC: 398.20943
    Keywords: Anthologie ; Deutschland ; Märchen
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  • 47
    ISBN: 9783958282889 , 3958282881
    Language: English
    Pages: 278 Seiten , Illustrationen
    Edition: 1. Auflage
    Uniform Title: Kinder- und Hausmärchen
    DDC: 398.20943
    Keywords: Anthologie ; Deutsch ; Märchen
    Note: Die Illustratoren werden im Vorwort genannt
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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  • 48
    ISBN: 9783868207644 , 3868207643
    Language: German
    Pages: 1182 Seiten , Illustrationen , 22 cm
    Edition: Vollständige Ausgabe mit Illustrationen
    Uniform Title: Kinder- und Hausmärchen
    DDC: 398.20943
    Keywords: Anthologie ; Deutsch ; Märchen ; Deutschland ; Sage
    URL: Inhaltsverzeichnis  (lizenzpflichtig)
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