Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x. Key Features This is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fundamentals of pandas to quickly begin exploring any dataset Book DescriptionThe pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documenta...
Python Crash Course, 2nd Edition is a straightforward introduction to the core of Python programming. Author Eric Matthes dispenses with the sort of tedious, unnecessary information that can get in the way of learning how to program, choosing instead to provide a foundation in general programming concepts, Python fundamentals, and problem solving. Three real world projects in the second part of the book allow readers to apply their knowledge in useful ways. Readers will learn how to create a si...
Unleash Python and take your small readers on an adventurous ride through the world of programming About This Book • Learn to start using Python for some simple programming tasks such as doing easy mathematical calculations. • Use logic and control loops to build a nice interesting game. • Get to grips with working with data and, once you're comfortable with that, you'll be introduced to Pygame, which will help you wrap up the book with a cool game. Who This Book Is For This book is for kids...
Intro to Python for Computer Science and Data Science
by Paul J. Deitel, Harvey M Deitel, and Harvey Deitel
For introductory-level Python programming and/or data-science courses. A groundbreaking, flexible approach to computer science and data science The Deitels’ Introduction to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and the Cloud offers a unique approach to teaching introductory Python programming, appropriate for both computer-science and data-science audiences. Providing the most current coverage of topics and applications, the book is paired...
Use active machine learning with Python to improve the accuracy of predictive models, streamline the data analysis process, and adapt to evolving data trends, fostering innovation and progress across diverse fields Key Features Learn how to implement a pipeline for optimal model creation from large datasets and at lower costs Gain profound insights within your data while achieving greater efficiency and speed Apply your knowledge to real-world use cases and solve complex ML problems Purchase o...
This book is for enthusiasts who want to use Raspberry Pi to build complex robotics projects. However, some programming background is recommended. With the aid of the step by step instructions in this book, you can construct complex robotics projects that can move, talk, listen, see, swim, or fly. Raspberry Pi Robotic Projects is an easy to follow, step by step projects guide packed full of examples of actual robotics projects. Each topic is explained in detail to make it easy to replicate the...
Utilize the powerful ingredients of Raspberry Pi to bring to life your amazing robots that can act, draw, and have fun with laser tags About This Book • Learn to implement a number of features offered by Raspberry Pi to build your own amazing robots • Understand how to add vision and voice to your robots. • This fast-paced practical guide comprises a number of creative projects to take your Raspberry Pi knowledge to the next level Who This Book Is For This all-encompassing guide was created...
Python Libraries for Finance
by Reactive Publishing and Hayden Van Der Post
Apache Spark 2: Data Processing and Real-Time Analytics
by Romeo Kienzler, Md. Rezaul Karim, Sridhar Alla, Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, and Shuen Mei
Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing frameworkKey FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and ScalaBook DescriptionApache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data proc...
Using Python 2.6
by Guido Van Rossum Guido Van Rossum and Fred L Drake, Jr
Fast track your development skills to build resourceful, open-source business applications with Odoo 11 About This Book • Discover the latest technical capabilities in Odoo 11 while you build your own app • Program business logic and manipulate data to implement specific business rules in your applications • Implement automated tests to add modules and techniques and debug module business logic Who This Book Is For Odoo 11 Development Essentials caters to developers who are familiar with Pytho...
Build maintainable websites with elegant Django design patterns and modern best practicesKey FeaturesExplore aspects of Django from Models and Views to testing and deploymentUnderstand the nuances of web development such as browser attack and data designWalk through various asynchronous tools such as Celery and ChannelsBook DescriptionBuilding secure and maintainable web applications requires comprehensive knowledge. The second edition of this book not only sheds light on Django, but also encaps...
Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.Key FeaturesGet a hands-on, fast-paced introduction to the Python data science stackExplore ways to create useful metrics and statistics from large datasetsCreate detailed analysis reports with real-world dataBook DescriptionProcessing big data in real time is challenging due to scalability, information inconsistency, and fault tolerance. Big Data Analysis with Python tea...
Building Serverless Python Web Services with Zappa
by Abdulwahid Abdulhaque Barguzar
Master serverless architectures in Python and their implementation, with Zappa on three different frameworks.Key Features Scalable serverless Python web services using Django, Flask, and Pyramid. Learn Asynchronous task execution on AWS Lambda and scheduling using Zappa. Implementing Zappa in a Docker container.Book DescriptionServerless applications are becoming very popular these days, not just because they save developers the trouble of managing the servers, but also because they provide seve...