Python for Programmers

Written for programmers with a background in another high-level language, Python for Programmers uses hands-on instruction to teach today’s most compelling, leading-edge computing technologies and programming in Python—one of the world’s most popular and fastest-growing languages. Please read the Table of Contents diagram inside the front cover and the Preface for more details.

In the context of 500+, real-world examples ranging from individual snippets to 40 large scripts and full implementation case studies, you’ll use the interactive IPython interpreter with code in Jupyter Notebooks to quickly master the latest Python coding idioms. After covering Python Chapters 1-5 and a few key parts of Chapters 6-7, you’ll be able to handle significant portions of the hands-on introductory AI case studies in Chapters 11-16, which are loaded with cool, powerful, contemporary examples. These include natural language processing, data mining Twitter® for sentiment analysis, cognitive computing with IBM® Watson™, supervised machine learning with classification and regression, unsupervised machine learning with clustering, computer vision through deep learning and convolutional neural networks, deep learning with recurrent neural networks, big data with Hadoop®, Spark™ and NoSQL databases, the Internet of Things and more. You’ll also work directly or indirectly with cloud-based services, including Twitter, Google Translate™, IBM Watson, Microsoft® Azure®, OpenMapQuest, PubNub and more.

Features

500+ hands-on, real-world, live-code examples from snippets to case studies
IPython + code in Jupyter® Notebooks
Library-focused: Uses Python Standard Library and data science libraries to accomplish significant tasks with minimal code
Rich Python coverage: Control statements, functions, strings, files, JSON serialization, CSV, exceptions
Procedural, functional-style and object-oriented programming
Collections: Lists, tuples, dictionaries, sets, NumPy arrays, pandas Series & DataFrames
Static, dynamic and interactive visualizations
Data experiences with real-world datasets and data sources
Intro to Data Science sections: AI, basic stats, simulation, animation, random variables, data wrangling, regression
AI, big data and cloud data science case studies: NLP, data mining Twitter®, IBM® Watson™, machine learning, deep learning, computer vision, Hadoop®, Spark™, NoSQL, IoT
Open-source libraries: NumPy, pandas, Matplotlib, Seaborn, Folium, SciPy, NLTK, TextBlob, spaCy, Textatistic, Tweepy, scikit-learn®, Keras and more

Scris pentru programatori cu un fundal intr-un alt limbaj de nivel inalt, Python for Programmers foloseste instructiuni practice pentru a preda cele mai convingatoare tehnologii de calcul si programare de varf de astazi in Python - unul dintre cele mai populare si mai rapide limbaje din lume. Va rugam sa cititi diagrama Cuprinsului din interiorul copertei si Prefata pentru mai multe detalii. In contextul a peste 500 de exemple, din lumea reala, de la fragmente individuale la 40 de scripturi mari si studii de caz complete de implementare, veti utiliza IPython interactiv interpret cu cod in notebook-urile Jupyter pentru a stapani rapid cele mai recente limbaje de codare Python.