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Paperback or Softback. Condizione: New. Konzept der Assertions und Prinzip von Design-by-Contract in einer kurzen Darstellung (Stand 2005). Book.

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Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

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Condizione: As New. Unread book in perfect condition.

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Paperback. Condizione: New. Understand, evaluate, and visualize dataAbout This Book* Learn basic steps of data analysis and how to use Python and its packages* A step-by-step guide to predictive modeling including tips, tricks, and best practices* Effectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.What You Will Learn* Get acquainted with NumPy and use arrays and array-oriented computing in data analysis* Process and analyze data using the time-series capabilities of Pandas* Understand the statistical and mathematical concepts behind predictive analytics algorithms* Data visualization with Matplotlib* Interactive plotting with NumPy, Scipy, and MKL functions* Build financial models using Monte-Carlo simulations* Create directed graphs and multi-graphs* Advanced visualization with D3In DetailYou will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn.After this, you will move on to a data analytics specialization-predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Python Data Analysis, Phuong Vo.T.

Paperback. Condizione: New. New. book.

Paperback. Condizione: New. Understand, evaluate, and visualize dataAbout This Book* Learn basic steps of data analysis and how to use Python and its packages* A step-by-step guide to predictive modeling including tips, tricks, and best practices* Effectively visualize a broad set of analyzed data and generate effective resultsWho This Book Is ForThis book is for Python Developers who are keen to get into data analysis and wish to visualize their analyzed data in a more efficient and insightful manner.What You Will Learn* Get acquainted with NumPy and use arrays and array-oriented computing in data analysis* Process and analyze data using the time-series capabilities of Pandas* Understand the statistical and mathematical concepts behind predictive analytics algorithms* Data visualization with Matplotlib* Interactive plotting with NumPy, Scipy, and MKL functions* Build financial models using Monte-Carlo simulations* Create directed graphs and multi-graphs* Advanced visualization with D3In DetailYou will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn.After this, you will move on to a data analytics specialization-predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products:? Getting Started with Python Data Analysis, Phuong Vo.T.

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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Studienarbeit aus dem Jahr 2005 im Fachbereich Informatik - Software, Note: 1, Universität Leipzig (Institut für angewandte Telematik), Veranstaltung: Wegweisende Arbeiten in der Softwaretechnik II. WS 2004/2005., Sprache: Deutsch, Abstract: Die vorliegende Ausarbeitung stellt das Konzept der Assertions vor. Assertions stellen eine Umsetzung des Design-by-Contract-Prinzips dar und ermöglichen eine Überwachung von Code zur Laufzeit. Im folgenden sollen, ausgehend von David S. Rosenblums Paper 'Toward a Method of Programming with Assertions' sowohl das Konzept der Assertions, als auch das Prinzip von Design-By-Contract vorgestellt werden. (Ergänzt wird dieser Text durch eine weitere Ausarbeitung im Rahmen des o.g. Seminars. Titel: Assertions in Java ).

Taschenbuch. Condizione: Neu. Neuware -Studienarbeit aus dem Jahr 2005 im Fachbereich Informatik - Software, Note: 1, Universität Leipzig (Institut für angewandte Telematik), Veranstaltung: Wegweisende Arbeiten in der Softwaretechnik II. WS 2004/2005., Sprache: Deutsch, Abstract: Die vorliegende Ausarbeitung stellt das Konzept der Assertions vor. Assertions stellen eine Umsetzung des Design-by-Contract-Prinzips darund ermöglichen eine Überwachung von Code zur Laufzeit. Im folgenden sollen, ausgehend von David S. Rosenblums Paper ¿Toward a Method of Programming with Assertions¿ sowohl das Konzept der Assertions, als auch das Prinzip von Design-By-Contract vorgestellt werden. (Ergänzt wird dieser Text durch eine weitere Ausarbeitung im Rahmen des o.g. Seminars. Titel: Assertions in Java )Books on Demand GmbH, Überseering 33, 22297 Hamburg 20 pp. Deutsch.

Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Studienarbeit aus dem Jahr 2005 im Fachbereich Informatik - Software, Note: 1, Universität Leipzig (Institut für angewandte Telematik), Veranstaltung: Wegweisende Arbeiten in der Softwaretechnik II. WS 2004/2005., Sprache: Deutsch, Abstract: Die vorliegende Ausarbeitung stellt das Konzept der Assertions vor. Assertions stellen eine Umsetzung des Design-by-Contract-Prinzips dar und ermöglichen eine Überwachung von Code zur Laufzeit. Im folgenden sollen, ausgehend von David S. Rosenblums Paper 'Toward a Method of Programming with Assertions' sowohl das Konzept der Assertions, als auch das Prinzip von Design-By-Contract vorgestellt werden. (Ergänzt wird dieser Text durch eine weitere Ausarbeitung im Rahmen des o.g. Seminars. Titel: Assertions in Java ) 20 pp. Deutsch.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. &Uumlber den AutorrnrnPhuong Vo. T.H is a data science manager at FPT Telecom in Vietnam. She graduated with an MSc degree in computer science at Soongsil University, Korea. She has experience in analyzing user behavior and building recommendat.

Taschenbuch. Condizione: Neu. Python | Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python | Martin Czygan (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2017 | Packt Publishing | EAN 9781788290098 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Understand, evaluate, and visualize dataKey Features Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize a broad set of analyzed data and generate effective resultsBook DescriptionYou will start the course with an introduction to the principles of data analysis and supported libraries, along with NumPy basics for statistics and data processing. Next, you will overview the Pandas package and use its powerful features to solve data-processing problems. Moving on, you will get a brief overview of the Matplotlib API .Next, you will learn to manipulate time and data structures, and load and store data in a file or database using Python packages. You will learn how to apply powerful packages in Python to process raw data into pure and helpful data using examples. You will also get a brief overview of machine learning algorithms, that is, applying data analysis results to make decisions or building helpful products such as recommendations and predictions using Scikit-learn.After this, you will move on to a data analytics specialization-predictive analytics. Social media and IOT have resulted in an avalanche of data. You will get started with predictive analytics using Python. You will see how to create predictive models from data. You will get balanced information on statistical and mathematical concepts, and implement them in Python using libraries such as Pandas, scikit-learn, and NumPy. You'll learn more about the best predictive modeling algorithms such as Linear Regression, Decision Tree, and Logistic Regression. Finally, you will master best practices in predictive modeling.After this, you will get all the practical guidance you need to help you on the journey to effective data visualization. Starting with a chapter on data frameworks, which explains the transformation of data into information and eventually knowledge, this path subsequently cover the complete visualization process using the most popular Python libraries with working examplesThis Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Getting Started with Python Data Analysis, Phuong Vo.T.H &Martin Czygan Learning Predictive Analytics with Python, Ashish Kumar Mastering Python Data Visualization, Kirthi RamanWhat you will learn Get acquainted with NumPy and use arrays and array-oriented computing in data analysis Process and analyze data using the time-series capabilities of Pandas Understand the statistical and mathematical concepts behind predictive analytics algorithms Data visualization with Matplotlib Interactive plotting with NumPy, Scipy, and MKL functions Build financial models using Monte-Carlo simulations Create directed graphs and multi-graphs Advanced visualization with D3.

Taschenbuch. Condizione: Neu. Konzept der Assertions und Prinzip von Design-by-Contract in einer kurzen Darstellung (Stand 2005) | Martin Czygan | Taschenbuch | 20 S. | Deutsch | 2009 | GRIN Verlag | EAN 9783640331611 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand.