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Biblioteca

MARC Lista (tabellare)
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Autore Idris Ivan
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (164 p.)
Disciplina 005.133
Collana Community experience distilled
Soggetto topico Python (Computer program language)
Numerical analysis - Data processing
Soggetto genere / forma Electronic books.
ISBN 1-78398-391-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with NumPy; Python; Installing NumPy, Matplotlib, SciPy, and IPython on Windows; Installing NumPy, Matplotlib, SciPy, and IPython on Linux; Installing NumPy, Matplotlib, and SciPy on Mac OS X; Building from source; NumPy arrays; Adding arrays; Online resources and help; Summary; Chapter 2: NumPy Basics; The NumPy array object; The advantages of using NumPy arrays; Creating a multidimensional array; Selecting array elements; NumPy numerical types
Data type objectsCharacter codes; dtype constructors; dtype attributes; Creating a record data type; One-dimensional slicing and indexing; Manipulating array shapes; Stacking arrays; Splitting arrays; Array attributes; Converting arrays; Creating views and copies; Fancy indexing; Indexing with a list of locations; Indexing arrays with Booleans; Stride tricks for Sudoku; Broadcasting arrays; Summary; Chapter 3: Basic Data Analysis with NumPy; Introducing the dataset; Determining the daily temperature range; Looking for evidence of global warming; Comparing solar radiation versus temperature
Analyzing wind directionAnalyzing wind speed; Analyzing precipitation and sunshine duration; Analyzing monthly precipitation in De Bilt; Analyzing atmospheric pressure in De Bilt; Analyzing atmospheric humidity in De Bilt; Summary; Chapter 4: Simple Predictive Analytics with NumPy; Examining autocorrelation of average temperature with pandas; Describing data with pandas DataFrames; Correlating weather and stocks with pandas; Predicting temperature; Autoregressive model with lag 1; Autoregressive model with lag 2; Analysing intra-year daily average temperatures
Introducing the day-of-the-year temperature modelModeling temperature with the SciPy leastsq function; Day-of-year temperature take two; Moving-average temperature model with lag 1; The Autoregressive Moving Average temperature model; The time-dependent temperature mean adjusted autoregressive model; Outliers analysis of average De Bilt temperature; Using more robust statistics; Summary; Chapter 5: Signal Processing Techniques; Introducing the Sunspot data; Sifting continued; Moving averages; Smoothing functions; Forecasting with an ARMA model; Filtering a signal; Designing the filter
Demonstrating cointegrationSummary; Chapter 6: Profiling, Debugging, and Testing; Assert functions; The assert_almost_equal function; Approximately equal arrays; The assert_array_almost_equal function; Profiling a program with IPython; Debugging with IPython; Performing Unit tests; Nose tests decorators; Summary; Chapter 7: The Scientific Python Ecosystem; Numerical integration; Interpolation; Using Cython with NumPy; Clustering stocks with scikit-learn; Detecting corners; Comparing NumPy to Blaze; Summary; Index
Record Nr. UNINA-9910458552603321
Idris Ivan  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Autore Idris Ivan
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (164 p.)
Disciplina 005.133
Collana Community experience distilled
Soggetto topico Python (Computer program language)
Numerical analysis - Data processing
ISBN 1-78398-391-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with NumPy; Python; Installing NumPy, Matplotlib, SciPy, and IPython on Windows; Installing NumPy, Matplotlib, SciPy, and IPython on Linux; Installing NumPy, Matplotlib, and SciPy on Mac OS X; Building from source; NumPy arrays; Adding arrays; Online resources and help; Summary; Chapter 2: NumPy Basics; The NumPy array object; The advantages of using NumPy arrays; Creating a multidimensional array; Selecting array elements; NumPy numerical types
Data type objectsCharacter codes; dtype constructors; dtype attributes; Creating a record data type; One-dimensional slicing and indexing; Manipulating array shapes; Stacking arrays; Splitting arrays; Array attributes; Converting arrays; Creating views and copies; Fancy indexing; Indexing with a list of locations; Indexing arrays with Booleans; Stride tricks for Sudoku; Broadcasting arrays; Summary; Chapter 3: Basic Data Analysis with NumPy; Introducing the dataset; Determining the daily temperature range; Looking for evidence of global warming; Comparing solar radiation versus temperature
Analyzing wind directionAnalyzing wind speed; Analyzing precipitation and sunshine duration; Analyzing monthly precipitation in De Bilt; Analyzing atmospheric pressure in De Bilt; Analyzing atmospheric humidity in De Bilt; Summary; Chapter 4: Simple Predictive Analytics with NumPy; Examining autocorrelation of average temperature with pandas; Describing data with pandas DataFrames; Correlating weather and stocks with pandas; Predicting temperature; Autoregressive model with lag 1; Autoregressive model with lag 2; Analysing intra-year daily average temperatures
Introducing the day-of-the-year temperature modelModeling temperature with the SciPy leastsq function; Day-of-year temperature take two; Moving-average temperature model with lag 1; The Autoregressive Moving Average temperature model; The time-dependent temperature mean adjusted autoregressive model; Outliers analysis of average De Bilt temperature; Using more robust statistics; Summary; Chapter 5: Signal Processing Techniques; Introducing the Sunspot data; Sifting continued; Moving averages; Smoothing functions; Forecasting with an ARMA model; Filtering a signal; Designing the filter
Demonstrating cointegrationSummary; Chapter 6: Profiling, Debugging, and Testing; Assert functions; The assert_almost_equal function; Approximately equal arrays; The assert_array_almost_equal function; Profiling a program with IPython; Debugging with IPython; Performing Unit tests; Nose tests decorators; Summary; Chapter 7: The Scientific Python Ecosystem; Numerical integration; Interpolation; Using Cython with NumPy; Clustering stocks with scikit-learn; Detecting corners; Comparing NumPy to Blaze; Summary; Index
Record Nr. UNINA-9910791027703321
Idris Ivan  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Learning NumPy Array : supercharge your scientific Python computations by understanding how to use the NumPy library effectively / / Ivan Idris ; Duraid Fatouhi, cover image
Autore Idris Ivan
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (164 p.)
Disciplina 005.133
Collana Community experience distilled
Soggetto topico Python (Computer program language)
Numerical analysis - Data processing
ISBN 1-78398-391-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with NumPy; Python; Installing NumPy, Matplotlib, SciPy, and IPython on Windows; Installing NumPy, Matplotlib, SciPy, and IPython on Linux; Installing NumPy, Matplotlib, and SciPy on Mac OS X; Building from source; NumPy arrays; Adding arrays; Online resources and help; Summary; Chapter 2: NumPy Basics; The NumPy array object; The advantages of using NumPy arrays; Creating a multidimensional array; Selecting array elements; NumPy numerical types
Data type objectsCharacter codes; dtype constructors; dtype attributes; Creating a record data type; One-dimensional slicing and indexing; Manipulating array shapes; Stacking arrays; Splitting arrays; Array attributes; Converting arrays; Creating views and copies; Fancy indexing; Indexing with a list of locations; Indexing arrays with Booleans; Stride tricks for Sudoku; Broadcasting arrays; Summary; Chapter 3: Basic Data Analysis with NumPy; Introducing the dataset; Determining the daily temperature range; Looking for evidence of global warming; Comparing solar radiation versus temperature
Analyzing wind directionAnalyzing wind speed; Analyzing precipitation and sunshine duration; Analyzing monthly precipitation in De Bilt; Analyzing atmospheric pressure in De Bilt; Analyzing atmospheric humidity in De Bilt; Summary; Chapter 4: Simple Predictive Analytics with NumPy; Examining autocorrelation of average temperature with pandas; Describing data with pandas DataFrames; Correlating weather and stocks with pandas; Predicting temperature; Autoregressive model with lag 1; Autoregressive model with lag 2; Analysing intra-year daily average temperatures
Introducing the day-of-the-year temperature modelModeling temperature with the SciPy leastsq function; Day-of-year temperature take two; Moving-average temperature model with lag 1; The Autoregressive Moving Average temperature model; The time-dependent temperature mean adjusted autoregressive model; Outliers analysis of average De Bilt temperature; Using more robust statistics; Summary; Chapter 5: Signal Processing Techniques; Introducing the Sunspot data; Sifting continued; Moving averages; Smoothing functions; Forecasting with an ARMA model; Filtering a signal; Designing the filter
Demonstrating cointegrationSummary; Chapter 6: Profiling, Debugging, and Testing; Assert functions; The assert_almost_equal function; Approximately equal arrays; The assert_array_almost_equal function; Profiling a program with IPython; Debugging with IPython; Performing Unit tests; Nose tests decorators; Summary; Chapter 7: The Scientific Python Ecosystem; Numerical integration; Interpolation; Using Cython with NumPy; Clustering stocks with scikit-learn; Detecting corners; Comparing NumPy to Blaze; Summary; Index
Record Nr. UNINA-9910810554503321
Idris Ivan  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Autore Lott Steven F.
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, [England] : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (634 p.)
Disciplina 005.133
Collana Community Experience Distilled
Soggetto topico Python (Computer program language)
Soggetto genere / forma Electronic books.
ISBN 1-78328-098-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Some Preliminaries; About casino Blackjack; Playing the game; Blackjack player strategies; Object design for simulating Blackjack; Performance - the time it module; Testing - unittest and doctest; Unit testing and technology spikes; Docstrings - RST markup and documentation tools; The IDE question; About special method names; Summary; Part 1: Pythonic Classes via Special Methods; Chapter 1: The __init__() Method; The implicit superclass - object
The base class object __init__() method Implementing __init__() in a super class; Using __init__() to create manifest constants; Leveraging __init__() via a factory function; Faulty factory design and the vague else clause; Simplicity and consistency using elif sequences; Simplicity using mapping and class objects; Two parallel mappings; Mapping to a tuple of values; The partial function solution; Fluent APIs for factories; Implementing __init__() in each subclass; Simple composite objects; Wrapping a collection class; Extending a collection class; More requirements and another design
Complex composite objects Complete composite object initialization; Stateless objects without __init__(); Some additional class definitions; Multi-strategy __init__(); More complex initialization alternatives; Initializing static methods; Yet more __init__() techniques; Initialization with type validation; Initialization, encapsulation, and privacy; Summary; Chapter 2: Integrating Seamlessly with Python - Basic Special Methods; The __repr__() and __str__() methods; Non collection __str__() and __repr__(); Collection __str__() and __repr__(); The __format__() method
Nested formatting specifications Collections and delegating format specifications; The __hash__() method; Deciding what to hash; Inheriting definitions for immutable objects; Overriding definitions for immutable objects; Overriding definitions for mutable objects; Making a frozen hand from a mutable hand; The __bool__() method; The __bytes__() method; The comparison operator methods; Designing comparisons; Implementation of comparison for objects of the same class; Implementation of comparison for objects of mixed classes; Hard totals, soft totals, and polymorphism
A mixed class comparison example The __del__() method; The reference count and destruction; Circular references and garbage collection; Circular references and the weak ref module; The __del__() and close() methods; The __new__() method and immutable objects; The __new__() method and metaclasses; Metaclass example 1 - ordered attributes; Metaclass example 2 - self-reference; Summary; Chapter 3: Attribute Access, Properties, and Descriptors; Basic attribute processing; Attributes and the __init__() method; Creating properties; Eagerly computed properties; Setter and deleter properties
Using special methods for attribute access
Record Nr. UNINA-9910458846703321
Lott Steven F.  
Birmingham, [England] : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Autore Lott Steven F.
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, [England] : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (634 p.)
Disciplina 005.133
Collana Community Experience Distilled
Soggetto topico Python (Computer program language)
ISBN 1-78328-098-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Some Preliminaries; About casino Blackjack; Playing the game; Blackjack player strategies; Object design for simulating Blackjack; Performance - the time it module; Testing - unittest and doctest; Unit testing and technology spikes; Docstrings - RST markup and documentation tools; The IDE question; About special method names; Summary; Part 1: Pythonic Classes via Special Methods; Chapter 1: The __init__() Method; The implicit superclass - object
The base class object __init__() method Implementing __init__() in a super class; Using __init__() to create manifest constants; Leveraging __init__() via a factory function; Faulty factory design and the vague else clause; Simplicity and consistency using elif sequences; Simplicity using mapping and class objects; Two parallel mappings; Mapping to a tuple of values; The partial function solution; Fluent APIs for factories; Implementing __init__() in each subclass; Simple composite objects; Wrapping a collection class; Extending a collection class; More requirements and another design
Complex composite objects Complete composite object initialization; Stateless objects without __init__(); Some additional class definitions; Multi-strategy __init__(); More complex initialization alternatives; Initializing static methods; Yet more __init__() techniques; Initialization with type validation; Initialization, encapsulation, and privacy; Summary; Chapter 2: Integrating Seamlessly with Python - Basic Special Methods; The __repr__() and __str__() methods; Non collection __str__() and __repr__(); Collection __str__() and __repr__(); The __format__() method
Nested formatting specifications Collections and delegating format specifications; The __hash__() method; Deciding what to hash; Inheriting definitions for immutable objects; Overriding definitions for immutable objects; Overriding definitions for mutable objects; Making a frozen hand from a mutable hand; The __bool__() method; The __bytes__() method; The comparison operator methods; Designing comparisons; Implementation of comparison for objects of the same class; Implementation of comparison for objects of mixed classes; Hard totals, soft totals, and polymorphism
A mixed class comparison example The __del__() method; The reference count and destruction; Circular references and garbage collection; Circular references and the weak ref module; The __del__() and close() methods; The __new__() method and immutable objects; The __new__() method and metaclasses; Metaclass example 1 - ordered attributes; Metaclass example 2 - self-reference; Summary; Chapter 3: Attribute Access, Properties, and Descriptors; Basic attribute processing; Attributes and the __init__() method; Creating properties; Eagerly computed properties; Setter and deleter properties
Using special methods for attribute access
Record Nr. UNINA-9910790919603321
Lott Steven F.  
Birmingham, [England] : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Mastering object-oriented Python : grasp the intricacies of object-oriented programming in Python in order to efficiency build powerful real-world applications / / Steven F. Lott ; cover image by Duraid Fatouhi
Autore Lott Steven F.
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, [England] : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (634 p.)
Disciplina 005.133
Collana Community Experience Distilled
Soggetto topico Python (Computer program language)
ISBN 1-78328-098-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Some Preliminaries; About casino Blackjack; Playing the game; Blackjack player strategies; Object design for simulating Blackjack; Performance - the time it module; Testing - unittest and doctest; Unit testing and technology spikes; Docstrings - RST markup and documentation tools; The IDE question; About special method names; Summary; Part 1: Pythonic Classes via Special Methods; Chapter 1: The __init__() Method; The implicit superclass - object
The base class object __init__() method Implementing __init__() in a super class; Using __init__() to create manifest constants; Leveraging __init__() via a factory function; Faulty factory design and the vague else clause; Simplicity and consistency using elif sequences; Simplicity using mapping and class objects; Two parallel mappings; Mapping to a tuple of values; The partial function solution; Fluent APIs for factories; Implementing __init__() in each subclass; Simple composite objects; Wrapping a collection class; Extending a collection class; More requirements and another design
Complex composite objects Complete composite object initialization; Stateless objects without __init__(); Some additional class definitions; Multi-strategy __init__(); More complex initialization alternatives; Initializing static methods; Yet more __init__() techniques; Initialization with type validation; Initialization, encapsulation, and privacy; Summary; Chapter 2: Integrating Seamlessly with Python - Basic Special Methods; The __repr__() and __str__() methods; Non collection __str__() and __repr__(); Collection __str__() and __repr__(); The __format__() method
Nested formatting specifications Collections and delegating format specifications; The __hash__() method; Deciding what to hash; Inheriting definitions for immutable objects; Overriding definitions for immutable objects; Overriding definitions for mutable objects; Making a frozen hand from a mutable hand; The __bool__() method; The __bytes__() method; The comparison operator methods; Designing comparisons; Implementation of comparison for objects of the same class; Implementation of comparison for objects of mixed classes; Hard totals, soft totals, and polymorphism
A mixed class comparison example The __del__() method; The reference count and destruction; Circular references and garbage collection; Circular references and the weak ref module; The __del__() and close() methods; The __new__() method and immutable objects; The __new__() method and metaclasses; Metaclass example 1 - ordered attributes; Metaclass example 2 - self-reference; Summary; Chapter 3: Attribute Access, Properties, and Descriptors; Basic attribute processing; Attributes and the __init__() method; Creating properties; Eagerly computed properties; Setter and deleter properties
Using special methods for attribute access
Record Nr. UNINA-9910822656103321
Lott Steven F.  
Birmingham, [England] : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Autore Ahmed Wasim
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (310 p.)
Disciplina 004
Collana Community Experience Distilled
Soggetto topico Computer science
Graphical user interfaces (Computer systems)
Soggetto genere / forma Electronic books.
ISBN 1-78398-083-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910458622603321
Ahmed Wasim  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Autore Ahmed Wasim
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (310 p.)
Disciplina 004
Collana Community Experience Distilled
Soggetto topico Computer science
Graphical user interfaces (Computer systems)
ISBN 1-78398-083-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910791172203321
Ahmed Wasim  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Mastering Proxmox : Master Proxmox VE to effectively implement server virtualization technology within your network / / Wasim Ahmed ; cover image by Duraid Fatouhi
Autore Ahmed Wasim
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2014
Descrizione fisica 1 online resource (310 p.)
Disciplina 004
Collana Community Experience Distilled
Soggetto topico Computer science
Graphical user interfaces (Computer systems)
ISBN 1-78398-083-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910812268303321
Ahmed Wasim  
Birmingham, England : , : Packt Publishing, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
SDL trados studio-a practical guide : learn how to translate more efficiently with SDL Trados Studio 2014 / / Andy Walker ; cover image by Duraid Fatouhi
SDL trados studio-a practical guide : learn how to translate more efficiently with SDL Trados Studio 2014 / / Andy Walker ; cover image by Duraid Fatouhi
Autore Walker Andy
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing Ltd, , 2014
Descrizione fisica 1 online resource (196 p.)
Disciplina 794.815365
Altri autori (Persone) FatouhiDuraid
Collana Community experience distilled
Soggetto topico Multimedia systems
Soggetto genere / forma Electronic books.
ISBN 1-84969-964-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Copyright; Credits; Foreword; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with SDL Trados Studio; Installing SDL Trados Studio; Selecting languages when installing the Freelance version; Running SDL Trados Studio for the first time; Navigating the interface; The Navigation pane; OpenExchange apps; The navigation buttons; The application ribbon; The File menu; Ribbon tabs and groups; Customizing the interface; Getting help; Summary; Chapter 2: Creating and Using Translation Memories; Creating a folder structure
Creating a translation memorySelecting a translation memory; Using automated translation providers; Working with more than one translation memory; Adding a further translation memory; Options in the Open Document dialog box; Working with the translation memories list; Organizing your translation memories; Summary; Chapter 3: Translating a File; The Editor view; The Editor view ribbon; Translating a file in SDL Trados Studio; Opening an individual document for translation; Translating in the side-by-side editor; Translating the text; The Translation Results window
Inserting matches from the TMNo matches from your TM?; Editing a confirmed segment; Clearing the target segment; Tracking your progress; Saving your bilingual document; AutoSave; Closing and reopening a bilingual file; Concordance - searching inside the TM; Automatic concordance searches; An easy way to insert numbers; Auto-propagating segments; Auto-propagated 100% matches with placeables; Standard Windows shortcuts; Splitting and merging segments; Splitting a segment in two; Adding line breaks inside segments; Editing the source segment; Merging two or more consecutive segments
Merging segments over hard returnsCustomizing the keyboard shortcuts; Standard formatting and special characters; Automated translation; Previewing your translation; Generating the translated document; AutoSuggest technologies; AutoText; AutoSuggest dictionaries; Generating an AutoSuggest dictionary; Customizing the Editor view; Summary; Chapter 4: Formatting and Tags; Different formatting penalty; Inserting formatting; Inserting and working with tags; Inserting single tags; Inserting tag pairs; Displaying information about tags; Displaying Tag Id numbers; Dealing with tag-heavy segments
Copy Source to Target commandsRemoving formatting and tags; Ghost tags; Tag verification; Summary; Chapter 5: Word Counts and Billing Information; About word counts; Using the sample file; Performing an analysis; Analyzing an individual document; Analyzing files in a project; Configuring the settings; The Analyze Files report; Match types; Saving the report; Aggregating the figures; Analyzing files without a TM; Summary; Chapter 6: Editing and Quality Assurance; Working in Review mode; Opening a file for review; The Review tab; Approving and rejecting segments; Moving through a document
Interpreting the fuzzy match icons
Record Nr. UNINA-9910464209903321
Walker Andy  
Birmingham, England : , : Packt Publishing Ltd, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui