Expert Python Programming :: Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 /
Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively.
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing, Limited,
2019.
|
| Ausgabe: | 3rd ed. |
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively. |
| Beschreibung: | Functional-style features of Python Includes index. |
| Beschreibung: | 1 online resource (628 pages) |
| ISBN: | 1789806771 9781789806779 |
Internformat
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| 245 | 1 | 0 | |a Expert Python Programming : |b Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / |c Michał Jaworski, Tarek Ziadé. |
| 250 | |a 3rd ed. | ||
| 260 | |a Birmingham : |b Packt Publishing, Limited, |c 2019. | ||
| 300 | |a 1 online resource (628 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library | |
| 505 | 8 | |a Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation | |
| 505 | 8 | |a Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython | |
| 505 | 8 | |a Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details | |
| 505 | 8 | |a Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module | |
| 500 | |a Functional-style features of Python | ||
| 520 | |a Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively. | ||
| 500 | |a Includes index. | ||
| 588 | 0 | |a Print version record. | |
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| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
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| 776 | 0 | 8 | |i Print version: |a Jaworski, Michał. |t Expert Python Programming, : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3. 7, 3rd Edition. |d Birmingham : Packt Publishing, Limited, ©2019 |z 9781789808896 |
| 830 | 0 | |a Community experience distilled. |0 http://id.loc.gov/authorities/names/no2011030603 | |
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| contents | Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module |
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| dewey-search | 005.133 |
| dewey-sort | 15.133 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| edition | 3rd ed. |
| format | Electronic eBook |
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| illustrated | Not Illustrated |
| indexdate | 2024-11-27T13:29:28Z |
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| series | Community experience distilled. |
| spelling | Jaworski, Michał. http://id.loc.gov/authorities/names/no94033825 Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / Michał Jaworski, Tarek Ziadé. 3rd ed. Birmingham : Packt Publishing, Limited, 2019. 1 online resource (628 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module Functional-style features of Python Expert Python Programming, Third Edition is a collection of valuable tips that will help you build robust and scalable applications in Python. These will help you become confident at solving challenging programming problems effectively. Includes index. Print version record. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast Ziadé, Tarek. http://id.loc.gov/authorities/names/no2011031292 Print version: Jaworski, Michał. Expert Python Programming, : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3. 7, 3rd Edition. Birmingham : Packt Publishing, Limited, ©2019 9781789808896 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116999 Volltext |
| spellingShingle | Jaworski, Michał Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / Community experience distilled. Cover; Title Page; Copyright and Credits; Dedication; About Packt; Contributors; Table of Contents; Preface; Section 1: Before You Start; Chapter 1: Current Status of Python; Technical requirements; Where are we now and where we are going to?; Why and how Python changes; Being up-to-date with changes by following PEP documents; Python 3 adoption at the time of writing this book; The main differences between Python 3 and Python 2; Why should I care?; The main syntax differences and common pitfalls; Syntax changes; Changes in the standard library Changes in data types and collections and string literalsThe popular tools and techniques used for maintaining cross-version compatibility; Not only CPython; Why should I care?; Stackless Python; Jython; IronPython; PyPy; MicroPython; Useful resources; Summary; Chapter 2: Modern Python Development Environments; Technical requirements; Installing additional Python packages using pip; Isolating the runtime environment; Application-level isolation versus system-level isolation; Python's venv; venv versus virtualenv; System-level environment isolation Virtual development environments using VagrantVirtual environments using Docker; Containerization versus virtualization; Writing your first Dockerfile; Running containers; Setting up complex environments; Useful Docker recipes for Python; Reducing the size of containers; Addressing services inside of a Compose environment; Communicating between multiple Compose environments; Popular productivity tools; Custom Python shells -- ipython, bpython, ptpython, and so on; Setting up the PYTHONSTARTUP environment variable; IPython; bpython; ptpython Incorporating shells in your own scripts and programsInteractive debuggers; Summary; Section 2: Python Craftsmanship; Chapter 3: Modern Syntax Elements -- Below the Class Level; Technical requirements; Python's built-in types; Strings and bytes; Implementation details; String concatenation; Constant folding, the peephole optimizer, and the AST optimizer; String formatting with f-strings; Containers; Lists and tuples; Implementation details; List comprehensions; Other idioms; Dictionaries; Implementation details; Weaknesses and alternatives; Sets; Implementation details Supplemental data types and containersSpecialized data containers from the collections module; Symbolic enumeration with the enum module; Advanced syntax; Iterators; Generators and yield statements; Decorators; General syntax and possible implementations; As a function; As a class; Parametrizing decorators; Introspection preserving decorators; Usage and useful examples; Argument checking; Caching; Proxy; Context provider; Context managers -- the with statement; The general syntax and possible implementations; As a class; As a function -- the contextlib module Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 http://id.loc.gov/authorities/subjects/sh95009362 |
| title | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / |
| title_auth | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / |
| title_exact_search | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / |
| title_full | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / Michał Jaworski, Tarek Ziadé. |
| title_fullStr | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / Michał Jaworski, Tarek Ziadé. |
| title_full_unstemmed | Expert Python Programming : Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / Michał Jaworski, Tarek Ziadé. |
| title_short | Expert Python Programming : |
| title_sort | expert python programming become a master in python by learning coding best practices and advanced programming concepts in python 3 7 |
| title_sub | Become a Master in Python by Learning Coding Best Practices and Advanced Programming Concepts in Python 3.7 / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Application software Development. http://id.loc.gov/authorities/subjects/sh95009362 Python (Langage de programmation) Logiciels d'application Développement. Application software Development fast Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Application software Development. Python (Langage de programmation) Logiciels d'application Développement. Application software Development |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=2116999 |
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