Author: Alex Martelli
Publisher:
ISBN: 9788441523173
Category : Business & Economics
Languages : es
Pages : 0
Book Description
El lenguaje de programación Python logra reconciliar evidentes contradicciones: es tan elegante como pragmático, es simple pero potente, es de muy alto nivel, aunque no resulta molesto cuando hay que modificar bits y bytes. Se adapta a programadores principiantes y a expertos. Éste es un libro de referencia para los programadores de Python para cuando necesiten recordar y descifrar la sintaxis de este lenguaje de código abierto y sus muchos y potentes módulos escasamente documentados. No sólo alcanza al lenguaje Python, sino también a la búsqueda de las partes más utilizadas de la biblioteca estándar y de las extensiones creadas por otras compañías abarcando múltiples áreas de aplicación, incluyendo programación de redes y de páginas Web, interfaces gráficas de usuarios GUI, gestión de XML, interacción en bases de datos e informática numérica de alta velocidad. El libro se centra en las capacidades multiplataforma de Python y trata lo esencial sobre la extensión y la incorporación de Python en otras aplicaciones, utilizando tanto C como Java. El estilo de escritura es claro y directo y está acompañado de ejemplos muy ilustrativos.
Python. Guía de referencia
Author: Alex Martelli
Publisher:
ISBN: 9788441523173
Category : Business & Economics
Languages : es
Pages : 0
Book Description
El lenguaje de programación Python logra reconciliar evidentes contradicciones: es tan elegante como pragmático, es simple pero potente, es de muy alto nivel, aunque no resulta molesto cuando hay que modificar bits y bytes. Se adapta a programadores principiantes y a expertos. Éste es un libro de referencia para los programadores de Python para cuando necesiten recordar y descifrar la sintaxis de este lenguaje de código abierto y sus muchos y potentes módulos escasamente documentados. No sólo alcanza al lenguaje Python, sino también a la búsqueda de las partes más utilizadas de la biblioteca estándar y de las extensiones creadas por otras compañías abarcando múltiples áreas de aplicación, incluyendo programación de redes y de páginas Web, interfaces gráficas de usuarios GUI, gestión de XML, interacción en bases de datos e informática numérica de alta velocidad. El libro se centra en las capacidades multiplataforma de Python y trata lo esencial sobre la extensión y la incorporación de Python en otras aplicaciones, utilizando tanto C como Java. El estilo de escritura es claro y directo y está acompañado de ejemplos muy ilustrativos.
Publisher:
ISBN: 9788441523173
Category : Business & Economics
Languages : es
Pages : 0
Book Description
El lenguaje de programación Python logra reconciliar evidentes contradicciones: es tan elegante como pragmático, es simple pero potente, es de muy alto nivel, aunque no resulta molesto cuando hay que modificar bits y bytes. Se adapta a programadores principiantes y a expertos. Éste es un libro de referencia para los programadores de Python para cuando necesiten recordar y descifrar la sintaxis de este lenguaje de código abierto y sus muchos y potentes módulos escasamente documentados. No sólo alcanza al lenguaje Python, sino también a la búsqueda de las partes más utilizadas de la biblioteca estándar y de las extensiones creadas por otras compañías abarcando múltiples áreas de aplicación, incluyendo programación de redes y de páginas Web, interfaces gráficas de usuarios GUI, gestión de XML, interacción en bases de datos e informática numérica de alta velocidad. El libro se centra en las capacidades multiplataforma de Python y trata lo esencial sobre la extensión y la incorporación de Python en otras aplicaciones, utilizando tanto C como Java. El estilo de escritura es claro y directo y está acompañado de ejemplos muy ilustrativos.
Machine Learning Pocket Reference
Author: Matt Harrison
Publisher: "O'Reilly Media, Inc."
ISBN: 149204749X
Category : Computers
Languages : en
Pages : 320
Book Description
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
Publisher: "O'Reilly Media, Inc."
ISBN: 149204749X
Category : Computers
Languages : en
Pages : 320
Book Description
With detailed notes, tables, and examples, this handy reference will help you navigate the basics of structured machine learning. Author Matt Harrison delivers a valuable guide that you can use for additional support during training and as a convenient resource when you dive into your next machine learning project. Ideal for programmers, data scientists, and AI engineers, this book includes an overview of the machine learning process and walks you through classification with structured data. You’ll also learn methods for clustering, predicting a continuous value (regression), and reducing dimensionality, among other topics. This pocket reference includes sections that cover: Classification, using the Titanic dataset Cleaning data and dealing with missing data Exploratory data analysis Common preprocessing steps using sample data Selecting features useful to the model Model selection Metrics and classification evaluation Regression examples using k-nearest neighbor, decision trees, boosting, and more Metrics for regression evaluation Clustering Dimensionality reduction Scikit-learn pipelines
Python Essential Reference
Author: David M. Beazley
Publisher:
ISBN: 9780768687040
Category : Electronic books
Languages : en
Pages : 717
Book Description
Python Essential Reference is the definitive reference guide to the Python programming language--the one authoritative handbook that reliably untangles and explains both the core Python library. Designed for the practicing programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source. Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the complete guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3.
Publisher:
ISBN: 9780768687040
Category : Electronic books
Languages : en
Pages : 717
Book Description
Python Essential Reference is the definitive reference guide to the Python programming language--the one authoritative handbook that reliably untangles and explains both the core Python library. Designed for the practicing programmer, the book is concise, to the point, and highly accessible. It also includes detailed information on the Python library and many advanced subjects that is not available in either the official Python documentation or any other single reference source. Thoroughly updated to reflect the significant new programming language features and library modules that have been introduced in Python 2.6 and Python 3, the fourth edition of Python Essential Reference is the complete guide for programmers who need to modernize existing Python code or who are planning an eventual migration to Python 3.
Python Essential Reference
Author: Beazley
Publisher:
ISBN: 9788131736524
Category :
Languages : en
Pages : 644
Book Description
Publisher:
ISBN: 9788131736524
Category :
Languages : en
Pages : 644
Book Description
Python Language Reference Manual
Author: Guido Van Rossum
Publisher:
ISBN:
Category : Python (Computer program language)
Languages : en
Pages : 112
Book Description
Publisher:
ISBN:
Category : Python (Computer program language)
Languages : en
Pages : 112
Book Description
Python Essential Reference
Author: Beazley
Publisher:
ISBN: 9788131748268
Category :
Languages : en
Pages : 745
Book Description
Publisher:
ISBN: 9788131748268
Category :
Languages : en
Pages : 745
Book Description
Python Best Practices to Programming Code with Python
Author: Charlie Masterson
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 0
Book Description
Publisher:
ISBN:
Category : Computer programming
Languages : en
Pages : 0
Book Description
Python Data Science Handbook
Author: Jake VanderPlas
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 743
Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Publisher: "O'Reilly Media, Inc."
ISBN: 1491912138
Category : Computers
Languages : en
Pages : 743
Book Description
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
The Python Language Reference Manual
Author: Guido Van Rossum
Publisher: Network Theory.
ISBN: 9781906966140
Category : Computers
Languages : en
Pages : 150
Book Description
This is a printed edition of the official Python language reference manual from the Python 3.2 distribution. It describes the syntax of Python 3 and its built-in datatypes and operators. Python is an interpreted object-oriented programming language, suitable for rapid application development and scripting. This manual is intended for advanced users who need a complete description of the Python 3 language syntax and object system. A simpler tutorial suitable for new users of Python is available in the companion volume "An Introduction to Python (for Python version 3.2)" (ISBN 978-1-906966-13-3). For each copy of this manual sold USD 1 is donated to the Python Software Foundation by the publisher, Network Theory Ltd.
Publisher: Network Theory.
ISBN: 9781906966140
Category : Computers
Languages : en
Pages : 150
Book Description
This is a printed edition of the official Python language reference manual from the Python 3.2 distribution. It describes the syntax of Python 3 and its built-in datatypes and operators. Python is an interpreted object-oriented programming language, suitable for rapid application development and scripting. This manual is intended for advanced users who need a complete description of the Python 3 language syntax and object system. A simpler tutorial suitable for new users of Python is available in the companion volume "An Introduction to Python (for Python version 3.2)" (ISBN 978-1-906966-13-3). For each copy of this manual sold USD 1 is donated to the Python Software Foundation by the publisher, Network Theory Ltd.
Python in a Nutshell
Author: Alex Martelli
Publisher: "O'Reilly Media, Inc."
ISBN: 0596100469
Category : Computers
Languages : en
Pages : 734
Book Description
This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions.
Publisher: "O'Reilly Media, Inc."
ISBN: 0596100469
Category : Computers
Languages : en
Pages : 734
Book Description
This volume offers Python programmers a straightforward guide to the important tools and modules of this open source language. It deals with the most frequently used parts of the standard library as well as the most popular and important third party extensions.