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Learning Regular Expressions

files using command-line tools like grep and egrep Use regular expressions in programming languages like JavaScript, Java, PHP, Python;

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Mastering Python Regular Expressions

A short and straight to the point guide that explains the implementation of Regular Expressions in Python. This book is aimed at Python;

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Regular Expression Pocket Reference

regular expression APIs for C, Perl, PHP,Java, .NET, Python, vi, and the POSIX regular expression libraries. O'Reilly's Pocket;

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Python Standard Library By Example

, writing, and manipulating files and directories Regular expression pattern matching Exchanging data and providing for persistence Archiving and;

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Introduction to Python Network Automation

develop essential skills such as Python scripting, regular expressions, Linux and Windows administration, VMware virtualization, and Cisco;

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Introduction to Python Network Automation

develop essential skills such as Python scripting, regular expressions, Linux and Windows administration, VMware virtualization, and Cisco;

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Programming in Python 3

concept and hands-on example at a time. Coverage includes Developing in Python using procedural, objectoriented, and functional;

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Python in Practice

Winner of the 2014 Jolt Award for Best Book Whether you are an experienced programmer or are starting your career, Python;

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Mastering Python for Bioinformatics

confirm they're correct Address bioinformatics ideas using Python data structures and modules such as Biopython Create reproducible shortcuts;

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Machine Learning Concepts with Python and the Jupyter Notebook Environment

regular IDE. You'll start by learning how to use Jupyter Notebooks to improve the way you program with Python. After getting a good grounding;

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A Concise Introduction to Programming in Python

in computer science using the Python programming language. The book features: Short, modular chapters with brief and precise explanations, intended;

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Supercharged Python

quickly ramp you up to creating useful utilities and games, and using Python to solve interesting puzzles. Everything you'll need to know;

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Data Analysis and Visualization Using Python

learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python;

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Python One-liners

covers essential advanced topics like slicing, regular expressions, list comprehension, broadcasting, lambda functions, algorithms, logistic;

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Mastering Python Scripting for System Administrators

of system administrators and automate routine activities Learn to handle regular expressions, network administration Building GUI, web-scraping;

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A Python Data Analyst s Toolkit

. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The;

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Professional Python

, Context Managers, Magic Methods, Class Factories, Metaclasses, Regular Expressions, and more, including advanced methods for unit testing using;

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Python Natural Language Processing Cookbook

and Rasa Extract information from text using regular expression techniques and statistical and deep learning tools Who this book;

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Building Android Apps in Python Using Kivy with Android Studio

Start building Python-based Android applications using Kivy with Android Studio. Through in-depth examples, this book teaches you;

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A Python Data Analyst's Toolkit

. You'll then review more advanced concepts like regular expressions, handling of files, and solving mathematical problems with Python. The;

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Dancing with Python

widely used applications of Python and revisit strings with more sophisticated tools, such as regular expressions and basic natural language;

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Regular Expressions Cookbook

validate and format input * Manage words, lines, special characters, and numerical values * Find solutions for using regular expressions in URLs;

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Python 3 Text Processing with NLTK 3 Cookbook

knowledge of Python and the basic text processing concepts is expected. Some experience with regular expressions will also be helpful.;

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Python Basics

is devoted to advanced topics like handling multi-dimensional arrays using NumPy and visualization using Matplotlib. Regular expressions and multi;

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Learning Geospatial Analysis with Python

solutions using the new features introduced in Python 3.7 Explore a range of GIS tools and libraries such as PostGIS, QGIS, and PROJ Learn to;

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