ISBN
9781789134759
9 projects demystifying neural network and deep learning models for building intelligent systems :
Python Deep Learning Projects book will simplify and ease how deep learning works, and demonstrate how neural networks play a vital role in exploring predictive analytics across different domains. You will explore projects in the field of computational linguistics, computer vision, machine translation, pattern recognition and many more
Author/Authors: Lamons, Matthew | Kumar, Rahul
Pages: 472 | Published Date: 43404
Category: Data
ISBN
9781784398149
Modernize existing Python code and plan code migrations to Python using this definitive guide :
This book is designed for Python 2 developers who want to get to grips with Python 3 in a short period of time. It covers the key features of Python, assuming you are familiar with the fundamentals of Python 2.
Author/Authors: Lott, Steven F.
Pages: 298 | Published Date: 42185
Category: Programming
ISBN
9781783284382
Build reallife Python applications for quantitative finance and financial engineering :
A handson guide with easytofollow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.
Author/Authors: Yan, Yuxing
Pages: 408 | Published Date: 41754
Category: Data
ISBN
9781787125025
Learn and implement various Quantitative Finance concepts using the popular Python libraries :
This book uses Python as its computational tool. Since Python is free, any school or organization can download and use it. This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance. The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures. This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM’s market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.
Author/Authors: Yan, Yuxing
Pages: 586 | Published Date: 42916
Category: Data
ISBN
9781783980437
Analyze, encrypt, and uncover intelligence data using Python, the essential tool for all aspiring secret agents :
If you are a Python beginner who is looking to learn the language through interesting projects, this book is for you. A basic knowledge of programming and statistics is beneficial to get the most out of the book.
Author/Authors: Lott, Steven F.
Pages: 216 | Published Date: 41877
Category: IoT & Hardware
ISBN
9781849511551
Working with geo-spatial data isn’t easy, but for many Python developers it’s essential with the growth of Geographic Information Systems. This superb book takes you from the basic concepts to advanced techniques in accessible steps. :
Open Source GIS (Geographic Information System) is a growing area with the explosion of applications such as Google Maps, Google Earth, and GPS. The GIS market is growing rapidly and as a Python developer you will find yourself either wanting grounding in GIS or needing to get up to speed to do your job. In today's location-aware world, all commercial Python developers can benefit from an understanding of GIS development gained using this book. Working with geo-spatial data can get complicated because you are dealing with mathematical models of the Earth's surface. Since Python is a powerful programming language with high-level toolkits, it is well suited to GIS development. will familiarize you with the Python tools required for geo-spatial development such as Mapnik, which is used for mapping in Python. It introduces GIS at the basic level with a clear, detailed walkthrough of the key GIS concepts such as location, distance, units, projections, datums, and GIS data formats. We then examine a number of Python libraries and combine these with geo-spatial data to accomplish a variety of tasks. The book provides an in-depth look at the concept of storing spatial data in a database and how you can use spatial databases as tools to solve a variety of geo-spatial problems. It goes into the details of generating maps using the Mapnik map-rendering toolkit, and helps you to build a sophisticated web-based geo-spatial map-editing application using GeoDjango, Mapnik, and PostGIS. By the end of the book, you will be able to integrate spatial features into your applications and build a complete mapping application from scratch.
Author/Authors: Westra, Erik
Pages: 508 | Published Date: 40526
Category: Programming
ISBN
9781785287480
Over 80 object-oriented recipes to help you create mind-blowing GUIs in Python :
Python is a multi-domain, interpreted programming language. It is a widely used general-purpose, high-level programming language. It is often used as a scripting language because of its forgiving syntax and compatibility with a wide variety of different eco-systems. Its flexible syntax enables developers to write short scripts while at the same time, they can use object-oriented concepts to develop very large projects. Python GUI Programming Cookbook follows a task-based approach to help you create beautiful and very effective GUIs with the least amount of code necessary. This book uses the simplest programming style, using the fewest lines of code to create a GUI in Python, and then advances to using object-oriented programming in later chapters. If you are new to object-oriented programming (OOP), this book will teach you how to take advantage of the OOP coding style in the context of creating GUIs written in Python. Throughout the book, you will develop an entire GUI application, building recipe upon recipe, connecting the GUI to a database. In the later chapters, you will explore additional Python GUI frameworks, using best practices. You will also learn how to use threading to ensure your GUI doesn’t go unresponsive. By the end of the book, you will be an expert in Python GUI programming to develop a common set of GUI applications.
Author/Authors: Meier, Burkhard
Pages: 350 | Published Date: 42339
Category: Programming
ISBN
9781788391764
Mike Driscoll takes you on a journey talking to a hall-of-fame list of truly remarkable Python experts. You’ll be inspired every time by their passion for the Python language, as they share with you their experiences, contributions, and careers in Python. :
Python programmers and students interested in the way that Python is used – past and present – with useful anecdotes. It will also be of interest to those looking to gain insights from top programmers.
Author/Authors: Driscoll, Mike
Pages: 366 | Published Date: 43159
Category: Business & Other
ISBN
9781783555147
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics :
If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learningâ€â€whether you want to start from scratch or want to extend your data science knowledge, this is an essential and unmissable resource.
Author/Authors: Raschka, Sebastian
Pages: 454 | Published Date: 42270
Category: Data
ISBN
9781787126022
Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries. :
If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential and unmissable resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for developers and data scientists who want to teach computers how to learn from data.
Author/Authors: Raschka, Sebastian | Mirjalili, Vahid
Pages: 622 | Published Date: 42998
Category: Data
