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  • 1
    Online Resource
    Online Resource
    Learn from the experts : Python (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (12 min.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Application software ; Electronic videos ; local
    Abstract: "In this Learn from the Experts interview, Jeff Bleiel talks to Yves Hilpisch about Python."--Resource description page.
    Note: Title from title screen (viewed April 4, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Learn from the experts : Python (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (13 min., 47 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this 5 Questions interview, Jeff Bleiel talks to Aaron Maxwell about Python."--Resource description page.
    Note: Title from title screen (viewed April 4, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    5 questions on Python (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (13 min., 17 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this 5 Questions interview, Jeff Bleiel talks to Chris Moffitt about Python."--Resource description page.
    Note: Title from title screen (viewed February 15, 2018). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 4
    Online Resource
    Online Resource
    5 questions on Python (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (11 min., 35 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this 5 Questions interview, Jeff Bleiel talks with Luciano Ramalho about Python."--Resource description page.
    Note: Title from title screen (viewed March 13, 2018). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 5
    Online Resource
    Online Resource
    Introduction to deep learning using PyTorch : create simple neural networks in Python using PyTorch (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 27 min.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "This video will serve as an introduction to PyTorch, a dynamic, deep learning framework in Python. In this video, you will learn to create simple neural networks, which are the backbone of artificial intelligence. We will start with fundamental concepts of deep learning (including feed forward networks, back-propagation, loss functions, etc.) and then dive into using PyTorch tensors to easily create our networks. Finally, we will CUDA render our code in order to be GPU-compatible for even faster model training."--Resource description page.
    Note: Title from title screen (Safari, viewed February 22, 2018). - Release date from resource description page (Safari, viewed February 22, 2018). - Includes bibliographical references and index
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 6
    Online Resource
    Online Resource
    Image analysis and text classification using CNNs in PyTorch : learn to build powerful image and document classifiers in minutes (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (54 min., 31 sec.)) , digital, sound, color
    Keywords: Neural networks (Computer science) ; Python (Computer program language) ; Artificial intelligence ; Machine learning ; Electronic videos ; local
    Abstract: "This video teaches you how to build a powerful image classifier in just minutes using convolutional neural networks and PyTorch. It reviews the fundamental concepts of convolution and image analysis; shows you how to create a simple convolutional neural network (CNN) with PyTorch; and demonstrates how using transfer learning with a deep CNN to train on image datasets can generate state-of-the-art performance. The course is designed for the software engineer looking to get started with deep learning and for the AI researcher with TensorFlow or Theano experience who wants a smooth transition into PyTorch. Prerequisites include an understanding of algebra, basic calculus, and basic Python skills. Learners should download and install PyTorch before starting class."--Resource description page.
    Note: Title from title screen (viewed June 6, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 7
    Online Resource
    Online Resource
    Learn from the experts : Python (2018)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (11 min., 54 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Application software ; Electronic videos ; local
    Abstract: "In this 5 Questions interview, Jeff Bleiel talks with Katharine Jarmul about Python."--Resource description page.
    Note: Title from title screen (viewed April 4, 2018)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 8
    Online Resource
    Online Resource
    Einführung in Machine Learning mit Python : Praxiswissen Data Science (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: German
    Pages: 1 online resource (1 volume) , illustrations
    Edition: 1. Auflage 2017.
    Keywords: Machine learning ; Python (Computer program language) ; Artificial intelligence ; Electronic books ; Electronic books ; local
    Abstract: Machine Learning ist zu einem wichtigen Bestandteil vieler kommerzieller Anwendungen und Forschungsprojekte geworden, von der medizinischen Diagnostik bis hin zur Suche nach Freunden in sozialen Netzwerken. Um Machine Learning-Anwendungen selbst zu entwickeln, braucht es keine großen Teams: Wenn Sie Python-Grundkenntnisse mitbringen, kann Ihnen dieses Praxisbuch zeigen, wie Sie Ihre eigenen Machine Learning-Lösungen entwickeln.Mit Python und der scikit-learn-Bibliothek erarbeiten Sie sich alle Schritte, die für eine erfolgreiche Machine Learning-Anwendung notwendig sind. Die Autoren Andreas Müller und Sarah Guido konzentrieren sich bei der Verwendung von Machine Learning-Algorithmen auf die Praxis und weniger auf die Mathematik dahinter. Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Buch herauszuholen.
    Note: Includes index. - Description based on online resource; title from title page (viewed November 1, 2017)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 9
    Online Resource
    Online Resource
    What are f-strings in Python and how can I use them? (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (8 min., 13 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Computer software ; Development ; Electronic videos ; local
    Abstract: "In Python 3.6, a new method of formatting strings was introduced - f-strings. In this video, Aaron Maxwell covers what f-strings are and how you can work with them for common string formatting tasks. Aaron takes you through progressively more complex examples of using f-strings to output your text. For developers working with Python 3.6 and higher, or planning to in the future, it is crucial to understand how f-strings compare to percent formatting and the str.format() method."--Resource description page.
    Note: Title from title screen (Safari, viewed July 7, 2017)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 10
    Online Resource
    Online Resource
    Analyzing data using Spark 2.0 DataFrames with Python : learning the basics of Python and Spark DataFrames, and how they work with big data (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 17 min., 29 sec.)) , digital, sound, color
    Keywords: Spark (Electronic resource : Apache Software Foundation) ; Big data ; Python (Computer program language) ; Data mining ; Electronic videos ; local
    Abstract: "Apache Spark 2.0 has become the gold standard for processing large datasets. This course, designed for learners with basic Python programming experience, takes you on an introductory journey into the world of big data analysis using Spark 2.0, Python, and the Spark DataFrame API. Beginning with an overview of Spark 2.0 and Python, and then moving into a detailed examination of DataFrames, you'll learn about using SQL with DataFrames, DataFrame dates and timestamps, DataFrame aggregate operations, and about DataFrames and missing data. The course includes a hands-on data analysis exercise using real stock data. Learners should have Python and Spark installed on their computers before starting the class."--Resource description page.
    Note: Title from title screen (viewed June 9, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 11
    Online Resource
    Online Resource
    Mining the social web, mailboxes : learn to analyze and query large volumes of email using Python and Pandas (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (23 min., 37 sec.)) , digital, sound, color
    Keywords: Data mining ; Electronic mail messages ; Computer crimes ; Investigation ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Imagine yourself as a criminal investigator. You've been tasked with searching through thousands of subpoenaed email messages for the purpose of finding evidence of fraud. What tools could you use to do your job? In this course, based on content from Matthew Russell's book, 'Mining the Social Web' (O'Reilly Media), you'll learn how to forensically examine large email data sets. Designed for learners with basic Python experience, the course explains the structure of email messages, deciphers the meanings in email metadata, and shows you how to use pandas -- Python's data analysis library -- to organize, manipulate, and query email data. Bonus: You get to practice your detective skills on an email data set used in a real U.S. criminal investigation (i.e., the 2001 Enron fraud case)."--Resource description page.
    Note: Title from title screen (viewed October 3, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 12
    Online Resource
    Online Resource
    Mining the social web : Twitter (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (40 min., 35 sec.)) , digital, sound, color
    Keywords: Twitter ; Data mining ; Online social networks ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Interested in tapping into Twitter data so you can discover what's trending, what people are talking about, and what feelings are being expressed in people's tweets? This course teaches you how to use a powerful set of tools that will allow you to acquire, analyze, and summarize Twitter data. You'll learn the meanings within Twitter's metadata, explore the data mining techniques of frequency analysis and sentiment, and gain experience using Python as a data mining tool. Learners should be familiar with Jupyter Notebooks and be able to install Python packages on their own using the command line."--Resource description page.
    Note: Title from title screen (viewed June 14, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 13
    Online Resource
    Online Resource
    How do I handle missing dictionary keys in Python? (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (9 min., 6 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Computer software ; Development ; Electronic videos ; local
    Abstract: "When working with Python dictionaries, sometimes your code has to deal with keys that may not be there; depending on the situation, this is trickier than it looks. In fact, your code may have a major bug in it right now! Learn the three different techniques for handling missing dict keys, their different strengths, and avoidable gotchas."--Resource description page.
    Note: Title from title screen (Safari, viewed July 7, 2017)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 14
    Online Resource
    Online Resource
    Natural language text processing with Python : hands-on NLP in Python using NLTK, spaCy, gensim, and scikit-learn (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 54 min., 13 sec.)) , digital, sound, color
    Keywords: Natural language processing (Computer science) ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Even though computers can't read, they're very effective at extracting information from natural language text. They can determine the main themes in the text, figure out if the writers of the text have positive or negative feelings about what they've written, decide if two documents are similar, add labels to documents, and more. This course shows you how to accomplish some common NLP (natural language processing) tasks using Python, an easy to understand, general programming language, in conjunction with the Python NLP libraries, NLTK, spaCy, gensim, and scikit-learn. The course is designed for basic level programmers with or without Python experience."--Resource description page.
    Note: Title from title screen (viewed February 1, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 15
    Online Resource
    Online Resource
    Mining the social web, Google+ : learn to mine data from a unique social network built around interest-based communities (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (39 min., 52 sec.)) , digital, sound, color
    Keywords: Google+ (Electronic resource) ; Python (Computer program language) ; Data mining ; Natural language processing (Computer science) ; Application program interfaces (Computer software) ; Online social networks ; Electronic videos ; local
    Abstract: "Google+ is a social media platform that allows its users to create profile pages and submit posts to interest-based communities. It's become a useful platform for data mining because it organizes user posts according to topic, making it possible to obtain a lot of sample data on any given subject. This course, based on the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, teaches you how to mine Google+. You'll learn how to access Google+, download public posts, extract and parse text, and analyze the similarity of documents using natural language processing (NLP) techniques and the Python Natural Language Toolkit (NLTK). Learners should have a Google account and a basic understanding of Python."--Resource description page.
    Note: Title from title screen (viewed October 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 16
    Online Resource
    Online Resource
    Mining the social web, GitHub : using Python and NetworkX to gain insight into GitHub's usage and community of users (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (33 min., 10 sec.)) , digital, sound, color
    Keywords: Computer software ; Development ; Open source software ; Data mining ; Python (Computer program language) ; Online social networks ; Electronic videos ; local
    Abstract: "GitHub is one of the largest social coding platforms on the web. Its collaborative features allow GitHub users to follow each other's code developments, build off each other's work, and make it easier than ever to create open source software. Based on content from the book "Mining the Social Web" (O'Reilly Media) by Matthew Russell, this course shows you how to mine GitHub data for insight into the platform's projects and community of users. For example, you'll be able to trace open source project histories, the types of programming languages used in those projects, and the relative popularity of those languages. The course teaches you how to make API requests on GitHub's developer platform, use NetworkX to construct interest graphs from GitHub data, and create visualizations of graphs. To get the most out of the course, learners should have basic Python experience and a GitHub account."--Resource description page.
    Note: Title from title screen (viewed October 5, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 17
    Online Resource
    Online Resource
    Mining the social web, Facebook : learn how to explore and analyze Facebook data with Python and Facebook's Graph API (2017)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (34 min., 43 sec.)) , digital, sound, color
    Keywords: Facebook (Electronic resource) ; Data mining ; Social media ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "Are you interested in exploring the data generated by Facebook's over 1.28 billion daily active users? Do you have some basic experience working with Python? If so, this course is for you. You'll explore Facebook's social graph and learn how it structures data; as well as discover how to use Python and Facebook's Graph API to connect to and query the social graph for page and user data, and pick up some experience manipulating and visualizing Facebook data using the powerful Python libraries, pandas and matplotlib. The course is taught by data scientist Mikhail Klassen and is based on content from Matthew Russell's book, 'Mining the Social Web' (O'Reilly Media)."--Resource description page.
    Note: Title from title screen (viewed June 26, 2017). - Date of publication from resource description page
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 18
    Online Resource
    Online Resource
    Intermediate Python programming : tools and tips for developers (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491954935
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 51 min., 49 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Internet programming ; Computer networks ; Design and construction ; Open source software ; Electronic videos ; local
    Abstract: "What do Scrabble cheaters, Shakespearean sonnets, Twitter, and the Astronomy Picture of the Day have to do with Python software programming? For software impresario Jessica McKellar, they're playful tools for teaching intermediate-level Python programming techniques. During her time as an organizer of the Boston Python User Group (one of the world's largest Python groups), she taught hundreds of Python wannabees to happily program like pros. She uses that experience to benefit the next generation of Pythonistas in this follow-up to her widely popular Introduction to Python video."--Resource description page.
    Note: Title from title screen (viewed August 10, 2016)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 19
    Online Resource
    Online Resource
    Reactive Python for data science : push-based data analysis with RxPy (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 17 min., 35 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Data mining ; Electronic videos ; local
    Abstract: "Reactive programming is shaping the future of how we model data. With reactive, not only can you concisely wrangle and analyze static data, you can effectively work with data as a real-time infinite feed. Reactive Extensions (Rx) first gained traction in 2009 and has been ported to over a dozen major languages and platforms. In this course, you'll learn to use RxPy, a lightweight Rx library, in Python data analysis workflows. It's designed for basic Python users who want to move beyond ad hoc data analysis and make their code geared toward a production environment, as well as for programmers familiar with Scala, Java 8, C#, Swift, and Kotlin who are interested in using the modern higher-order functional chain patterns from those languages."--Resource description page.
    Note: Title from title screen (viewed February 1, 2017)
    URL: lizenzpflichtig
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    Online Resource
    MPI Ethno. Forsch.
  • 20
    Online Resource
    Online Resource
    Working with Excel spreadsheets in Python (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume) , illustrations
    Keywords: Microsoft Excel (Computer file) ; Python (Computer program language) ; Electronic spreadsheets ; Electronic books ; Electronic books ; local
    Abstract: "Learn python for data analysis" is a constant refrain for those looking to develop their data analysis skills. But it's hard to apply beginning Python skills to your everyday work if the data you deal with is in Excel spreadsheets. This lesson gives you the ability to connect your new skills to the data you're already working with, and gives you a big step up on the Python learning curve. What you'll learn-and how you can apply it This lesson teaches you to ingest Excel spreadsheet files into Python scripts and begin to leverage Python's powerful analysis and automation tools, using both base Python and pandas. This lesson is for you because... You deal with data in spreadsheets as part of your job and are beginning to learn Python; this chapter gives you the ability to start applying your Python knowledge right away. Prerequisites Beginning Python knowledge Familiarity with Excel Materials or downloads needed in advance Python 3.x
    Note: Date of publication from resource description page. - "From Foundations for analytics with Python by Clinton W. Brownley"--Cover. - Description based on online resource; title from title page (Safari, viewed January 11, 2017)
    URL: https://learning.oreilly.com/library/view/-/9781491980026/?ar
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    MPI Ethno. Forsch.
  • 21
    Online Resource
    Online Resource
    Building data pipelines with Python : understanding pipeline frameworks, workflow automation, and Python toolsets (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 40 min., 56 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Data mining ; Electronic videos ; local
    Abstract: "This course shows you how to build data pipelines and automate workflows using Python 3. From simple task-based messaging queues to complex frameworks like Luigi and Airflow, the course delivers the essential knowledge you need to develop your own automation solutions. You'll learn the architecture basics, and receive an introduction to a wide variety of the most popular frameworks and tools. Designed for the working data professional who is new to the world of data pipelines and distributed solutions, the course requires intermediate level Python experience and the ability to manage your own system set-ups."--Resource description page.
    Note: Title from resource description page (viewed December 20, 2016)
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 22
    Online Resource
    Online Resource
    Making classes support comparison operations in Python (2016)
    [Place of publication not identified] : O'Reilly
    Details
    Language: English
    Pages: 1 online resource (1 volume)
    Keywords: Python (Computer program language) ; Electronic books ; Electronic books ; local
    Abstract: This lesson is a recipe from the Python Cookbook that explores being able to compare instances of your class using the standard comparison operators, but without having to write a lot of special methods, and avoiding the tedious task of creating implementations of every possible comparison operator. What you'll learn-and how you can apply it Learn how to use the functools.total_ordering decorator to simplify the comparison operator creation process. This lesson is for you because... You're an experienced Python programmer who wants to compare instances of your class using standard comparison operators without having to write a lot of special methods. Prerequisites Moderate experience with Python Materials or downloads needed None
    Note: Description based on online resource; title from cover (viewed February 20, 2017). - From Python cookbook, third edition, by Brian K. Jones and David Beazley. Cf. Cover. - Date of publication from resource description page
    URL: https://learning.oreilly.com/library/view/-/9781491965276/?ar
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    MPI Ethno. Forsch.
  • 23
    Online Resource
    Online Resource
    Introduction to PySpark : from transformations and actions to performance--using the Spark Python API (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375535
    Language: English
    Pages: 1 online resource (1 streaming video file (48 min., 23 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; SPARK (Computer program language) ; Electronic videos ; local
    Abstract: "With Early Release video training, you get videos as they're being developed so you can take advantage of these technologies long before the official release of these titles. You'll also receive updates when significant changes are made, new chapters as they're edited, and the final video. In this Introduction to PySpark training course, expert author Alex Robbins will teach you everything you need to know about the Spark Python API. This course is designed for users that already have a basic working knowledge of Python. You will start by learning how to install Spark, then jump into learning the Spark fundamentals. From there, Alex will teach you about transformations, including filter, pipe, repartition, and distinct. This video tutorial also covers actions, input and output, performance, and running on a cluster. Finally, you will learn advanced topics, including Spark streaming, dataframes and SQL, and MLlib. Once you have completed this computer based training course, you will have learned everything you need to know about PySpark. Working files are included, allowing you to follow along with the author throughout the lessons. "--Resource description page.
    Note: Title from title screen (viewed December 29, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 24
    Online Resource
    Online Resource
    Introduction to Pandas for developers : understand the basic workflows and gotchas of crawling, munging and plotting data (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375764
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 35 min., 43 sec.)) , digital, sound, color
    Keywords: Data mining ; Python (Computer program language) ; Machine learning ; Electronic videos ; local
    Abstract: "In this Introduction to Pandas for Developers training course, expert author Matt Harrison will teach you how to load data in Pandas data structures. This course is designed for users that are already familiar with Python. You will start by learning about Python lists, Pandas series, and boolean arrays, then jump into learning about dataframes. From there, Matt will teach you about relational algebra, tweaking dataframes, and joins. This video tutorial also covers filtering dataframes, grouping, serialization, plotting, and time series. Finally, you will learn about machine learning and using Pandas with scikit-learn. Once you have completed this computer based training course, you will have learned about basic workflows and gotchas of crawling, munging, and plotting data."--Resource description page.
    Note: Title from title screen (viewed April 1, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
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    MPI Ethno. Forsch.
  • 25
    Online Resource
    Online Resource
    Learning Cython : combine the speed of C programs with the ease of Python coding (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375610
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 35 min., 39 sec.)) , digital, sound, color
    Keywords: Programming languages (Electronic computers) ; Compilers (Computer programs) ; Python (Computer program language) ; C (Computer program language) ; Electronic videos ; local
    Abstract: "In this Learning Cython training course, expert author Caleb Hattingh will teach you how to create your own simple extension modules in Cython, analyze performance of Cython code, and package your Cython extension module so it can be shared with others. This course is designed for users that already have a basic working knowledge of Python. You will start by learning the basics of Cython, such as how to compile Cython, add tests, and add types. From there, Caleb will teach you how to explore Cython with the Jupyter Notebook. This video tutorial will also teach you about the Cython language, such as adding types to code, exceptions and docstrings, and loops and memoryviews. You will also cover extension types, wrapping C and C++ libraries, Cython compiler directives, and concurrency. Finally, Caleb will leave you with some tips and tricks."--Resource description page.
    Note: Title from title screen (Safari, viewed March 29, 2016). - Date of release from resource description page (Safari, viewed March 29, 2016)
    URL: lizenzpflichtig
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  • 26
    Online Resource
    Online Resource
    Matplotlib for developers : data visualization and analysis with Python (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771375429
    Language: English
    Pages: 1 online resource (1 streaming video file (5 hr., 1 min., 12 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Information visualization ; Electronic videos ; local
    Abstract: "In this Matplotlib for Developers training course, expert author Christopher Roach will teach you everything you need to know about data visualization and analysis with Python. This course is designed for users that already have a basic understanding of Python. You will start by learning about pyplot, including learning about the plot function, custom plotting, subplots, and complex subplots. From there, Christopher will teach you about the matplotlib architecture, how to configure matplotlib, and about interactivity. Finally, this video tutorial covers maps in matplotlib and the matplotlib ecosystem. Once you have completed this computer based training course, you will have learned everything you need to know about data visualization and analysis with Python. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed April 1, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 27
    Online Resource
    Online Resource
    Working with Unicode in Python : how to handle expanded character sets and multilingual data (2016)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771376105
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 48 min., 20 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Unicode (Computer character set) ; Computer programming ; Electronic videos ; local
    Abstract: "In this Working with Unicode in Python training course, expert author Alexander Lee will teach you how to handle expanded character sets and multilingual data in Python. This course is designed for users that already have a basic working knowledge of Python. You will start by learning about text encodings. From there, Alexander will teach you about Python strings, including how to convert between text and bytes and how to use Unicode in source files. This video tutorial also teaches you how to read and write Unicode data. Finally, you will learn about special Unicode functions, such as normalization, case folding, and sorting. Once you have completed this computer based training course, you will have learned how to handle expanded character sets and multilingual data in Python."--Resource description page.
    Note: Title from title screen (viewed March 24, 2016). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 28
    Online Resource
    Online Resource
    Advanced machine learning with scikit-learn : tools and techniques for predictive analytics in Python (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374927
    Language: English
    Pages: 1 online resource (1 streaming video file (3 hr., 44 min., 6 sec.)) , digital, sound, color
    Keywords: Machine learning ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this Advanced Machine Learning with scikit-learn training course, expert author Andreas Mueller will teach you how to choose and evaluate machine learning models. This course is designed for users that already have experience with Python. You will start by learning about model complexity, overfitting and underfitting. From there, Andreas will teach you about pipelines, advanced metrics and imbalanced classes, and model selection for unsupervised learning. This video tutorial also covers dealing with categorical variables, dictionaries, and incomplete data, and how to handle text data. Finally, you will learn about out of core learning, including the sci-learn interface for out of core learning and kernel approximations for large-scale non-linear classification. Once you have completed this computer based training course, you will have learned everything you need to know to be able to choose and evaluate machine learning models. Working files are included, allowing you to follow along with the author throughout the lessons. "--Resource description page.
    Note: Title from title screen (viewed October 26, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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  • 29
    Online Resource
    Online Resource
    Building web apps using Flask and Neo4j : a guide for Python developers (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374859
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 39 min., 14 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this Building Web Apps Using Flask and Neo4j training course, expert author Nicole White will teach you how to incorporate graph databases into your web applications. This course is designed for the absolute beginner, meaning no previous experience with Flask or Neo4j is required. You will start by learning how to install Neo4j and set up your project. From there, Nicole will teach you about Flask, Py2neo, and basic functionality, including constraints and indexes, registering a user, and adding a post. This video tutorial also covers social recommendations, including recommending similar users and commonalities between two users. Finally, you will learn about scaling considerations and how to deploy to Heroku. Once you have completed this computer based training course, you will have learned how to incorporate Neo4j into your own web applications. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed October 21, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 30
    Online Resource
    Online Resource
    Functional programming with Python : techniques for maintainable, modular, and testable Python code (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374651
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 55 min., 5 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Python (Computer program language) ; Testing ; Functional programming (Computer science) ; Electronic videos ; local
    Abstract: "In this Functional Programming with Python training course, expert author Chris Armstrong will teach you functional programming techniques for making maintainable, modular, and testable code. This course is designed for users that already have experience with Python. You will start by learning about functional programming, including first class functions, recursion, and modifying data structures. From there, Chris will teach you about many functional programming libraries available in the Python ecosystem. This video tutorial will then teach you how to implement a text adventure game using these techniques and libraries. You will also learn how to write unit tests for functional code, use imperative libraries in a functional way, and use first-class effects. Finally, you will create a web UI for the game, and learn how to isolate an imperative web framework so that all of the application logic remains purely functional. Once you have completed this computer based training course, you will have learned how to apply these functional programming techniques to create maintainable, modular, and testable Python code."--Resource description page.
    Note: Title from title screen (viewed December 22, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 31
    Online Resource
    Online Resource
    Porting from Python 2 to Python 3 : tips and techniques for a smooth transition (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374514
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 31 min., 20 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Object-oriented programming (Computer science) ; Electronic videos ; local
    Abstract: "In this Porting from Python 2 to Python 3 training course, expert author Ben Straub teaches you about the changes with Python 3, and how to make a smooth transition from Python 2 to Python 3. This course is designed for users that already have Python programming experience. You will start by learning about numbers and strings. From there, Ben teaches you about exceptions, such as raising and catching, and tracebacks and chaining. This video tutorial also covers classes, IO, and library. Finally, you will learn other language changes, such as print, imports and reload, ranges, and functional operators. Once you have completed this computer based training course, you will have learned all about Python 3 changes, and how to make a smooth transition from Python 2 to Python 3."--Resource description page.
    Note: Title from title screen (viewed September 28, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 32
    Online Resource
    Online Resource
    Teach your kids to code : basic concepts with Turtle graphics in Python (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491951071
    Language: English
    Pages: 1 online resource (1 streaming video file (45 min., 10 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Electronic videos ; local
    Abstract: "Turtle graphics have been teaching kids basic coding concepts since the creation of the Logo language in the late 1960's. The Turtle module in Python carries the turtle tradition into the 21st century and makes turtle programming easy and accessible on Windows, Mac, Linux and more. Turtle graphics in Python are a great way to introduce kids to coding, staring with short programs of just five to ten lines of code that draw beautiful, colorful shapes that kids can create and modify as they learn. In his new book, Teach Your Kids to Code, Bryson Payne shares some of the programs he began using with his own sons when they were two and four years old, all the way through fully interactive games he uses in his freshman-level college courses.In this webcast, you will learn: How to code turtle graphics in Python; How to engage children from pre-K through college with short, interactive, visual programs for every age level; How to build on more advanced programming concepts using turtle graphics as a foundation."--Resource description page.
    Note: Title from title screen (viewed February 12, 2016)
    URL: lizenzpflichtig
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  • 33
    Online Resource
    Online Resource
    Python game development for beginners : create interactive user interfaces and games with the turtle module (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374071
    Language: English
    Pages: 1 online resource (1 streaming video file (2 hr., 34 min., 59 sec.)) , digital, sound, color
    Keywords: Computer games ; Programming ; Computer games ; Design ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this Python Game Development for Beginners training course, expert author Elliot Hauser will teach you how to build your own game sketches using Python's built-in turtle module. This course is designed for the absolute beginner, meaning no Python or game development experience is required. You will start by learning about simple user interfaces, then jump into learning how to make your own game objects with class inheritance. From there, Elliot will teach you about the game state dictionary, how to check for intersection, and how to display game state. Finally, this video tutorial covers some advanced topics, including adding images to Turtle and private methods and attributes. Once you have completed this computer based training course, you will be fully capable of creating your own user interfaces and games with the turtle module. Working files are included, allowing you to follow along with the author throughout the lessons."--Resource description page.
    Note: Title from title screen (viewed September 4, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 34
    Online Resource
    Online Resource
    Web applications with Python and the pyramid framework : from views and routes to forms and authentication (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781771374361
    Language: English
    Pages: 1 online resource (1 streaming video file (4 hr., 29 min., 53 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Python (Computer program language) ; Electronic videos ; local
    Abstract: "In this Web Applications with Python and the Pyramid Framework training course, expert author Paul Everitt will teach you about the features needed for Python web development, as well as Pyramid's unique features. This course is designed for users that already have a basic knowledge of Python. You will start by learning about single file web apps, templating, and multiple routes and views. From there, Paul will teach you about MyApp Python package, views and routes, and templating and static assets. This video tutorial also covers forms, databases, and sessions, authentication and authorization, and JSON. Finally, you will learn about extensibility, including custom configuration settings, extending and overriding, and custom view predicates. Once you have completed this computer based training course, you will have gained a basic understanding of the features needed for Python web development and the features unique to Pyramid."--Resource description page.
    Note: Title from title screen (viewed December 22, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 35
    Online Resource
    Online Resource
    Building scalable web apps with Python and Google Cloud platform (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491939765
    Language: English
    Pages: 1 online resource (1 streaming video file (1 hr., 27 min., 15 sec.)) , digital, sound, color
    Keywords: Web applications ; Development ; Python (Computer program language) ; Cloud computing ; Electronic videos ; local
    Abstract: "We all know Python is well suited to building web applications. It also happens to be a great choice for building on Google Cloud Platform, Google's suite of cloud hosting services. In this presentation, Google engineer and O'Reilly author Dan Sanderson shows how to set up a Python cloud development environment, build a scalable web app using various Google services and tools, and deploy and manage a live application."--Resource description page.
    Note: Title from title screen (viewed November 4, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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  • 36
    Online Resource
    Online Resource
    Designing data structures in Python : principles & practice (2015)
    [Place of publication not identified] : O'Reilly
    Details
    ISBN: 9781491928622
    Language: English
    Pages: 1 online resource (1 streaming video file (6 hr., 4 min., 21 sec.)) , digital, sound, color
    Keywords: Python (Computer program language) ; Data structures (Computer science) ; Computer programming ; Electronic videos ; local
    Abstract: "When should you use Python's built-in data types, and when should you develop your own? In this video course, George Heineman introduces Python programmers to several important data structures and demonstrates their use with example algorithms. Generic data structures such as arrays, linked lists, and stacks can solve many problems, but to work through some specialized problems, you need to learn different ways to structure data appropriately. Many Python programmers learned their skills through non-traditional routes, rather than through an undergraduate computer science degree. This video helps complete your education in fundamental data types step-by-step. For many of the data structures, you'll write sample code using a variety of existing modules, and define a process that will help you evaluate and assess these modules for use in your own software. All you need to get started is a working knowledge of Python's built-in data types."--Resource description page.
    Note: Title from title screen (viewed October 14, 2015). - Date of publication from resource description page
    URL: lizenzpflichtig
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    Online Resource
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