Search results for: python-beyond-the-basics

Deep Learning With Python

Author : Travis Booth
File Size : 37.45 MB
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A comprehensive dive into Deep Learning using Python! The second book in the Deep Learning with Python series is here and is primed to give you a deeper insight into deep learning and its topics. While the first book established the basics, this book will explore them in greater depth to give you a far better understanding with practical examples and real world applications. Inside you will learn all about: Using scikit/learn to implement regression models Evaluating models and going beyond linear regression DNNs, RNN, CNNs and their attendant functionalities PyTorch and using it for deep learning- tensors, autograd, nn module LSTMs and using them in practical ways and much more! Grab your copy today! BONUS: Purchase the paperback and get the ebook absolutely free via Kindle Matchbook.

Python Coding

Author : Travis Booth
File Size : 63.47 MB
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The Power of Python At Your Fingertips! Python is one of the hottest programming languages in the world right now thanks to its implications for AI and natural language processing. You want to get started with the exciting stuff but it can be hard to know how to start. Python can be a tough language to learn and is iterative. So where do you begin? Pythn Coding by Travis Booth, the author of Machine Learning With Python and Linux Command Line is going to walk you through more advanced concepts of Python and guide you in a practical and hands-on manner into the exciting world of Python. You will learn how to manipulate data and learn the ins and outs of the Python system. In addition, you will also learn all about: A walkthrough of the basics Working with lists and tuples Functions, loops and pop() Exception handling for more advanced users working with modules Useful dictionaries and so much more! Join the millions who have discovered the power of Python by taking the right first steps! Click buy now! Bonus: Get the Ebook absolutely free when you purchase the paperback with Kindle matchbook!

Python Data Science

Author : Travis Booth
File Size : 51.64 MB
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Dive Deeper into Data Analysis Methods Using Python! The second book in the Python Data Science series takes you deeper into data analysis methods and data mining techniques using Python. If you use big data for your projects then this is the guide you need. Inside you will learn all about Data analysis using inferential statistics Linear regression mthods- a deeper look Ensemble models and slicing and dicing data within them d104 mining within unstructured data K-Means clustering for segmentation and much more! Grab your copy now and take one step deeper into the world of big data analysis using Python. Bonus: Buy the paperback and get the ebook absolutely free with Kindle matchbook!

Machine Learning With Python

Author : Travis Booth
File Size : 79.98 MB
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A deeper dive into Machine Learning using Python! The second book in the Machine Learning with Python series is here and is primed to give you a deeper insight into machine learning and its topics. While the first book established the basics, this book will explore them in greater depth to give you a far better understanding with practical examples and real world applications. Inside you will learn all about: Writing different ML algorithms- linear/logisctic regression, decision trees etc. Data structures when working with the A* algorithm d104 mining and recommender systems Occam's razor and its implications for machine learning Backpropogation and Multilayer preceptron Convolutional neural networks and much more! Grab your copy today! BONUS: Purchase the paperback and get the ebook absolutely free via Kindle Matchbook.

Python Data Analytics

Author : Travis Booth
File Size : 54.44 MB
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Power Your Data Analytics to the Next Level. The second book of the Python Data Analytics series is here to take you on a deeper dive into the world of Data Analytics and how you can use it to turbocharge your business. Inside you will learn all about: The most important platforms for you to master for data analysis Working with strings and lists Manipulating dictionaries to your advantage Working with the best visulization tools Libraries- matplotlib, Gleam, geoplotlib, ggplot and more. Outlier detection using PyOD Hierarchical clustering algorithms and so much more! Collecting data is one thing. Understanding it is entirely another. This book will help you bridge the gap. Bonus: Buy the paperback and get the ebook free with Kindle matchbook!

Mastering Python

Author : David Blaikie
File Size : 86.8 MB
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"In this Python Beyond the Basics - Object-Oriented Programming training course, expert author David Blaikie will teach you how to design Python classes, and how to implement object-oriented programming concepts in Python. This course is designed for users that already have a basic working knowledge of Python. You will start by learning about classes, including defining a class, class attributes, and working with class and instance data. From there, David will teach you about inheritance and polymorphism. This video tutorial also covers advanced features, such as implementing core syntax, subclassing built-ins, and new style classes. You will also learn about exceptions and object serialization. Finally, David will teach you about efficiency and testing, including debugging, logging, and benchmarking."--Resource description page.

Hands On Software Engineering with Python

Author : Brian Allbee
File Size : 76.51 MB
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Explore various verticals in software engineering through high-end systems using Python Key Features Master the tools and techniques used in software engineering Evaluates available database options and selects one for the final Central Office system-components Experience the iterations software go through and craft enterprise-grade systems Book Description Software Engineering is about more than just writing code—it includes a host of soft skills that apply to almost any development effort, no matter what the language, development methodology, or scope of the project. Being a senior developer all but requires awareness of how those skills, along with their expected technical counterparts, mesh together through a project's life cycle. This book walks you through that discovery by going over the entire life cycle of a multi-tier system and its related software projects. You'll see what happens before any development takes place, and what impact the decisions and designs made at each step have on the development process. The development of the entire project, over the course of several iterations based on real-world Agile iterations, will be executed, sometimes starting from nothing, in one of the fastest growing languages in the world—Python. Application of practices in Python will be laid out, along with a number of Python-specific capabilities that are often overlooked. Finally, the book will implement a high-performance computing solution, from first principles through complete foundation. What you will learn Understand what happens over the course of a system's life (SDLC) Establish what to expect from the pre-development life cycle steps Find out how the development-specific phases of the SDLC affect development Uncover what a real-world development process might be like, in an Agile way Find out how to do more than just write the code Identify the existence of project-independent best practices and how to use them Find out how to design and implement a high-performance computing process Who this book is for Hands-On Software Engineering with Python is for you if you are a developer having basic understanding of programming and its paradigms and want to skill up as a senior programmer. It is assumed that you have basic Python knowledge.

Macromedia Flash MX 2004 Beyond the Basics

Author : Shane Rebenschied
File Size : 80.64 MB
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A guide to Flash MX 2004 offers information on the advanced features of the Web development tool, covering such topics as creating an ActionScript-driven menu, adding a MP3 player, building a slideshow, and creating a Flash plug-in detector.

Python

Author : Jason Crash
File Size : 88.23 MB
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If you don't know the programming, if you don't want to waste time and you want methods that Guarantee Results Immediately, then this is the perfect book for you. You FINALLY have the book "Python"! Code is the language of the future. The secret is in learning programming languages because every electronic device runs on some sort of programming language. If for whatever reason, you have been looking to learn programming or perhaps looking to improve your programming skills, Python could be the best option you can get right now. Python is a programming language that is well-known for its simplicity and powerful features that can be used to make web and software applications. This book is also suitable for those seeking to go beyond the basics of Python programming. What this book offers: - A Practical Introduction Guide to Learn Python. Learn Coding Faster with Hands-On Project. Crash Course - The advanced guide to learn python step by step Why is this book different? Because The best way to learn Python is by doing. This book includes practical and complete exercises that requires the application of all the concepts taught previously. Get your copy of this INCREDIBLE book and start programming. Discover the Secrets of Python. Scroll to the top of the page and select the BUY NOW button.

Professional Python

Author : Luke Sneeringer
File Size : 79.53 MB
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With hands-on tutorials based on real-world scenarios, this useful guide goes beyond the basics to teach beginner- and intermediate-level Python programmers the little-known tools and constructs that build concise, maintainable code. --

Learn More Python 3 the Hard Way

Author : Zed A. Shaw
File Size : 71.4 MB
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Transform Your Ideas into High-Quality Python Code! Zed Shaw has perfected the world’s best system for becoming a truly effective Python 3.x developer. Follow it and you will succeed—just like the tens of millions of programmers he’s already taught. You bring the discipline, commitment, and persistence; the author supplies everything else. In Learn Python 3 the Hard Way, Zed Shaw taught you the basics of Programming with Python 3. Now, in Learn More Python 3 the Hard Way, you’ll go far beyond the basics by working through 52 brilliantly crafted projects. Each one helps you build a key practical skill, combining demos to get you started and challenges to deepen your understanding. Zed then teaches you even more in 12 hours of online videos, where he shows you how to break, fix, and debug your code. First, you’ll discover how to analyze a concept, idea, or problem to implement in software. Then, step by step, you’ll learn to design solutions based on your analyses and implement them as simply and elegantly as possible. Throughout, Shaw stresses process so you can get started and build momentum, creativity to solve new problems, and quality so you’ll build code people can rely on. Manage complex projects with a programmer’s text editor Leverage the immense power of data structures Apply algorithms to process your data structures Master indispensable text parsing and processing techniques Use SQL to efficiently and logically model stored data Learn powerful command-line tools and skills Combine multiple practices in complete projects It’ll be hard at first. But soon, you’ll just get it—and that will feel great! This course will reward you for every minute you put into it. Soon, you’ll go beyond merely writing code that runs: you’ll craft high-quality Python code that solves real problems. You’ll be a serious Python programmer. Perfect for Everyone Who’s Already Started Working with Python, including Junior Developers and Seasoned Python Programmers Upgrading to Python 3.6+ Register your product at informit.com/register for convenient access to downloads, updates, and/or corrections as they become available.

Python in Practice

Author : Mark Summerfield
File Size : 25.31 MB
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Winner of the 2014 Jolt Award for "Best Book" “Whether you are an experienced programmer or are starting your career, Python in Practice is full of valuable advice and example to help you improve your craft by thinking about problems from different perspectives, introducing tools, and detailing techniques to create more effective solutions.” —Doug Hellmann, Senior Developer, DreamHost If you’re an experienced Python programmer, Python in Practice will help you improve the quality, reliability, speed, maintainability, and usability of all your Python programs. Mark Summerfield focuses on four key themes: design patterns for coding elegance, faster processing through concurrency and compiled Python (Cython), high-level networking, and graphics. He identifies well-proven design patterns that are useful in Python, illuminates them with expert-quality code, and explains why some object-oriented design patterns are irrelevant to Python. He also explodes several counterproductive myths about Python programming—showing, for example, how Python can take full advantage of multicore hardware. All examples, including three complete case studies, have been tested with Python 3.3 (and, where possible, Python 3.2 and 3.1) and crafted to maintain compatibility with future Python 3.x versions. All code has been tested on Linux, and most code has also been tested on OS X and Windows. All code may be downloaded at www.qtrac.eu/pipbook.html. Coverage includes Leveraging Python’s most effective creational, structural, and behavioral design patterns Supporting concurrency with Python’s multiprocessing, threading, and concurrent.futures modules Avoiding concurrency problems using thread-safe queues and futures rather than fragile locks Simplifying networking with high-level modules, including xmlrpclib and RPyC Accelerating Python code with Cython, C-based Python modules, profiling, and other techniques Creating modern-looking GUI applications with Tkinter Leveraging today’s powerful graphics hardware via the OpenGL API using pyglet and PyOpenGL

Learning Python

Author : Mark Lutz
File Size : 53.7 MB
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Portable, powerful, and a breeze to use, Python is the popular open source object-oriented programming language used for both standalone programs and scripting applications. Python is considered easy to learn, but there's no quicker way to mastery of the language than learning from an expert teacher. This edition of Learning Python puts you in the hands of two expert teachers, Mark Lutz and David Ascher, whose friendly, well-structured prose has guided many a programmer to proficiency with the language. Learning Python, Second Edition, offers programmers a comprehensive learning tool for Python and object-oriented programming. Thoroughly updated for the numerous language and class presentation changes that have taken place since the release of the first edition in 1999, this guide introduces the basic elements of the latest release of Python 2.3 and covers new features, such as list comprehensions, nested scopes, and iterators/generators. Beyond language features, this edition of Learning Python also includes new context for less-experienced programmers, including fresh overviews of object-oriented programming and dynamic typing, new discussions of program launch and configuration options, new coverage of documentation sources, and more. There are also new use cases throughout to make the application of language features more concrete. The first part of Learning Python gives programmers all the information they'll need to understand and construct programs in the Python language, including types, operators, statements, classes, functions, modules and exceptions. The authors then present more advanced material, showing how Python performs common tasks by offering real applications and the libraries available for those applications. Each chapter ends with a series of exercises that will test your Python skills and measure your understanding. Learning Python, Second Edition is a self-paced book that allows readers to focus on the core Python language in depth. As you work through the book, you'll gain a deep and complete understanding of the Python language that will help you to understand the larger application-level examples that you'll encounter on your own. If you're interested in learning Python--and want to do so quickly and efficiently--then Learning Python, Second Edition is your best choice.

Mastering QGIS

Author : Kurt Menke, GISP
File Size : 67.76 MB
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Go beyond the basics and unleash the full power of QGIS with practical, step-by-step examples About This Book This book is your one-stop solution to all of your GIS needs using the open source QGIS Master QGIS by learning about database integration, geoprocessing tools, Python scripts, advanced cartography, and custom plugins This example-rich, practical guide will help you create sophisticated analyses and maps Who This Book Is For If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS. What You Will Learn Create and manage a spatial database Get to know advanced techniques to style GIS data Prepare both vector and raster data for processing Add heat maps, live layer effects, and labels to your maps Master LAStools and GRASS integration with the Processing Toolbox Edit and repair topological data errors Automate workflows with batch processing and the QGIS Graphical Modeler Integrate Python scripting into your data processing workflows Develop your own QGIS plugin In Detail QGIS is an open source solution to GIS. It is widely used by GIS professionals all over the world. It is the leading alternative to the proprietary GIS software. Although QGIS is described as intuitive, it is also by default complex. Knowing which tools to use and how to apply them is essential to producing valuable deliverables on time. Starting with a refresher on the QGIS basics, this book will take you all the way through to creating your first custom QGIS plugin. From the refresher, we will recap how to create, populate, and manage a spatial database. You'll also walk through styling GIS data, from creating custom symbols and color ramps to using blending modes. In the next section, you will discover how to prepare vector, heat maps, and create live layer effects, labeling, and raster data for processing. You'll also discover advanced data creation and editing techniques. The last third of the book covers the more technical aspects of QGIS such as using LAStools and GRASS GIS's integration with the Processing Toolbox, how to automate workflows with batch processing, and how to create graphical models. Finally, you will see how to create and run Python data processing scripts and write your own QGIS plugin with pyqgis. By the end of the book, you will understand how to work with all the aspects of QGIS, and will be ready to use it for any type of GIS work. Style and approach This step-by-step comprehensive guide will let you dig your teeth into working with spatial databases, creating your own QGIS plugins, and creating your own custom graphical models.

Mastering QGIS

Author : Kurt Menke
File Size : 37.4 MB
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If you are a GIS professional, a consultant, a student, or perhaps a fast learner who wants to go beyond the basics of QGIS, then this book is for you. It will prepare you to realize the full potential of QGIS.

Machine Learning For Dummies

Author : John Paul Mueller
File Size : 57.70 MB
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Your comprehensive entry-level guide to machine learning While machine learning expertise doesn’t quite mean you can create your own Turing Test-proof android—as in the movie Ex Machina—it is a form of artificial intelligence and one of the most exciting technological means of identifying opportunities and solving problems fast and on a large scale. Anyone who masters the principles of machine learning is mastering a big part of our tech future and opening up incredible new directions in careers that include fraud detection, optimizing search results, serving real-time ads, credit-scoring, building accurate and sophisticated pricing models—and way, way more. Unlike most machine learning books, the fully updated 2nd Edition of Machine Learning For Dummies doesn't assume you have years of experience using programming languages such as Python (R source is also included in a downloadable form with comments and explanations), but lets you in on the ground floor, covering the entry-level materials that will get you up and running building models you need to perform practical tasks. It takes a look at the underlying—and fascinating—math principles that power machine learning but also shows that you don't need to be a math whiz to build fun new tools and apply them to your work and study. Understand the history of AI and machine learning Work with Python 3.8 and TensorFlow 2.x (and R as a download) Build and test your own models Use the latest datasets, rather than the worn out data found in other books Apply machine learning to real problems Whether you want to learn for college or to enhance your business or career performance, this friendly beginner's guide is your best introduction to machine learning, allowing you to become quickly confident using this amazing and fast-developing technology that's impacting lives for the better all over the world.

Mastering Python Networking

Author : Eric Chou
File Size : 47.1 MB
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New edition of the bestselling guide to mastering Python Networking, updated to Python 3 and including the latest on network data analysis, Cloud Networking, Ansible 2.8, and new libraries Key Features Explore the power of Python libraries to tackle difficult network problems efficiently and effectively, including pyATS, Nornir, and Ansible 2.8 Use Python and Ansible for DevOps, network device automation, DevOps, and software-defined networking Become an expert in implementing advanced network-related tasks with Python 3 Book Description Networks in your infrastructure set the foundation for how your application can be deployed, maintained, and serviced. Python is the ideal language for network engineers to explore tools that were previously available to systems engineers and application developers. In Mastering Python Networking, Third edition, you’ll embark on a Python-based journey to transition from traditional network engineers to network developers ready for the next-generation of networks. This new edition is completely revised and updated to work with Python 3. In addition to new chapters on network data analysis with ELK stack (Elasticsearch, Logstash, Kibana, and Beats) and Azure Cloud Networking, it includes updates on using newer libraries such as pyATS and Nornir, as well as Ansible 2.8. Each chapter is updated with the latest libraries with working examples to ensure compatibility and understanding of the concepts. Starting with a basic overview of Python, the book teaches you how it can interact with both legacy and API-enabled network devices. You will learn to leverage high-level Python packages and frameworks to perform network automation tasks, monitoring, management, and enhanced network security followed by Azure and AWS Cloud networking. Finally, you will use Jenkins for continuous integration as well as testing tools to verify your network. What you will learn Use Python libraries to interact with your network Integrate Ansible 2.8 using Python to control Cisco, Juniper, and Arista network devices Leverage existing Flask web frameworks to construct high-level APIs Learn how to build virtual networks in the AWS & Azure Cloud Learn how to use Elastic Stack for network data analysis Understand how Jenkins can be used to automatically deploy changes in your network Use PyTest and Unittest for Test-Driven Network Development in networking engineering with Python Who this book is for Mastering Python Networking, Third edition is for network engineers, developers, and SREs who want to use Python for network automation, programmability, and data analysis. Basic familiarity with Python programming and networking-related concepts such as Transmission Control Protocol/Internet Protocol (TCP/IP) will be useful.

Python Network Programming

Author : Abhishek Ratan
File Size : 27.55 MB
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Power up your network applications with Python programming Key Features Master Python skills to develop powerful network applications Grasp the fundamentals and functionalities of SDN Design multi-threaded, event-driven architectures for echo and chat servers Book Description This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: Practical Network Automation by Abhishek Ratan Mastering Python Networking by Eric Chou Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker What you will learn Create socket-based networks with asynchronous models Develop client apps for web APIs, including S3 Amazon and Twitter Talk to email and remote network servers with different protocols Integrate Python with Cisco, Juniper, and Arista eAPI for automation Use Telnet and SSH connections for remote system monitoring Interact with websites via XML-RPC, SOAP, and REST APIs Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX Configure virtual networks in different deployment environments Who this book is for If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

Coding for Penetration Testers

Author : Jason Andress
File Size : 87.58 MB
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Coding for Penetration Testers discusses the use of various scripting languages in penetration testing. The book presents step-by-step instructions on how to build customized penetration testing tools using Perl, Ruby, Python, and other languages. It also provides a primer on scripting including, but not limited to, Web scripting, scanner scripting, and exploitation scripting. It guides the student through specific examples of custom tool development that can be incorporated into a tester's toolkit as well as real-world scenarios where such tools might be used. This book is divided into 10 chapters that explores topics such as command shell scripting; Python, Perl, and Ruby; Web scripting with PHP; manipulating Windows with PowerShell; scanner scripting; information gathering; exploitation scripting; and post-exploitation scripting. This book will appeal to penetration testers, information security practitioners, and network and system administrators. Discusses the use of various scripting languages in penetration testing Presents step-by-step instructions on how to build customized penetration testing tools using Perl, Ruby, Python, and other languages Provides a primer on scripting including, but not limited to, Web scripting, scanner scripting, and exploitation scripting

Linux for Beginners

Author : Travis Booth
File Size : 63.15 MB
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Master Linux and Demystify The Shell! The Linux interface is a powerful tool to use. While the Linux GUI is slick and smooth, you know that the real magic lies under the hood. However, if you're just getting started, the various interfaces and combinations that exist in Linux can be confusing. So where do you begin? Linux for Beginners by Travis Booth, the author of Machine Learning With Python and Linux Command Line is going to walk you through more advanced concepts of the Linux interface and other aspects that go on beneath the surface. You will learn all about the exciting world of the Linux system and how you can use it to ditch that pesky mouse forever (only if you want to!) In addition, you will also learn all about: A walkthrough of the basics Use Management A walkthrough of the shell and scripting Commands and file systems Disk interfaces and media Networking with Linux OS and so much more! Join the millions who have discovered the power of the shell by taking the correct first steps! Click buy now! Bonus: Get the Ebook absolutely free when you purchase the paperback with Kindle matchbook!