Search results for: intuitive-python

Intuitive Python

Author : David Muller
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Developers power their projects with Python because it emphasizes readability, ease of use, and access to a meticulously maintained set of packages and tools. The language itself continues to improve with every release: writing in Python is full of possibility. But to maintain a successful Python project, you need to know more than just the language. You need tooling and instincts to help you make the most out of what's available to you. Use this book as your guide to help you hone your skills and sculpt a Python project that can stand the test of time. No matter your experience level or background, Python's batteries-included standard library and rich third-party ecosystem provide a solid foundation to build your projects on. With the right intuition and background knowledge, you can take advantage of all the power Python offers. Take a guided tour of some of Python's high points to craft a project that you can sustain and build on for a long time. Run static analysis tools to detect and eliminate classes of bugs before you run code. Experiment with Python's concurrency model and develop patterns for using Python's thread and process abstractions to their full potential. Introduce yourself to Python's type hinting system: mypy. Download and run third-party Python packages and do so safely without compromising on security. Debug code using Python's built in debugger, and try procedures out in the interactive console. Run your code under new versions of the Python interpreter to unlock performance and usability improvements. All along the way, sharpen your Python instincts so you can keep your code clean and reduce the chance of bugs. Mine Python for all you can by playing to its strengths and embracing patterns that harness its potential. What You Need: The books assumes you have some experience programming in any language (not necessarily Python). To run the code presented in the book, you'll need a Python environment which you can download from https: //www.python.org/downloads/.

Intuitive Python

Author : David Muller
File Size : 47.97 MB
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Developers power their projects with Python because it emphasizes readability, ease of use, and access to a meticulously maintained set of packages and tools. The language itself continues to improve with every release: writing in Python is full of possibility. But to maintain a successful Python project, you need to know more than just the language. You need tooling and instincts to help you make the most out of what's available to you. Use this book as your guide to help you hone your skills and sculpt a Python project that can stand the test of time. No matter your experience level or background, Python's batteries-included standard library and rich third-party ecosystem provide a solid foundation to build your projects on. With the right intuition and background knowledge, you can take advantage of all the power Python offers. Take a guided tour of some of Python's high points to craft a project that you can sustain and build on for a long time. Run static analysis tools to detect and eliminate classes of bugs before you run code. Experiment with Python's concurrency model and develop patterns for using Python's thread and process abstractions to their full potential. Introduce yourself to Python's type hinting system: mypy. Download and run third-party Python packages and do so safely without compromising on security. Debug code using Python's built in debugger, and try procedures out in the interactive console. Run your code under new versions of the Python interpreter to unlock performance and usability improvements. All along the way, sharpen your Python instincts so you can keep your code clean and reduce the chance of bugs. Mine Python for all you can by playing to its strengths and embracing patterns that harness its potential. What You Need: The books assumes you have some experience programming in any language (not necessarily Python). To run the code presented in the book, you'll need a Python environment which you can download from https://www.python.org/downloads/.

Managing Your Biological Data with Python

Author : Allegra Via
File Size : 50.52 MB
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Take Control of Your Data and Use Python with ConfidenceRequiring no prior programming experience, Managing Your Biological Data with Python empowers biologists and other life scientists to work with biological data on their own using the Python language. The book teaches them not only how to program but also how to manage their data. It shows how

Programming Google App Engine with Python

Author : Dan Sanderson
File Size : 87.45 MB
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This practical guide shows intermediate and advanced web and mobile app developers how to build highly scalable Python applications in the cloud with Google App Engine. The flagship of Google's Cloud Platform, App Engine hosts your app on infrastructure that grows automatically with your traffic, minimizing up-front costs and accommodating unexpected visitors. You’ll learn hands-on how to perform common development tasks with App Engine services and development tools, including deployment and maintenance. App Engine's Python support includes a fast Python 2.7 interpreter, the standard library, and a WSGI-based runtime environment. Choose from many popular web application frameworks, including Django and Flask. Get a hands-on introduction to App Engine's tools and features, using an example application Simulate App Engine on your development machine with tools from Google Cloud SDK Structure your app into individually addressable modules, each with its own scaling configuration Exploit the power of the scalable Cloud Datastore, using queries, transactions, and data modeling with the ndb library Use Cloud SQL for standard relational databases with App Engine applications Learn how to deploy, manage, and inspect your application on Google infrastructure

Mastering Python Networking

Author : Eric Chou
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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 Brain Teasers

Author : Miki Tebeka
File Size : 26.81 MB
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We geeks love puzzles and solving them. The Python programming language is a simple one, but like all other languages it has quirks. This book uses those quirks as teaching opportunities via 30 simple Python programs that challenge your understanding of Python. The teasers will help you avoid mistakes, see gaps in your knowledge, and become better at what you do. Use these teasers to impress your co-workers or just to pass the time in those boring meetings. Teasers are fun! At the beginning of each chapter I'll show you a short Python program and will ask you to guess the output. The possible answers can be: Syntax error Exception Hang Some output (e.g. `[1 2 3]`) Here's how to approach the puzzles. Read through the code. Before moving on to the answer and the explanation, go ahead and guess the output. After guessing the output, run the code and see the output yourself. Finally proceed to read the solution and the explanation. The puzzles are short enough to solve on a coffee break, so carry them with you, have fun, and share them with co-workers. People who make mistakes during the learning process learn better than people who don't. If you use this approach at work when fixing bugs, you'll find you enjoy bug hunting more and become a better developer after each bug you fix. Many of these puzzles are from the author's lessons learned (and others) of shipping bugs to production. He often uses the puzzles as quizzes during conferences and meetups, and they tend to create a buzz of excitement. What You Need: You need to know Python at some level and have experience programming with it. NOTE: The book uses Python version 3.8.2 to run the code; the output _could_ change in future versions. You will need a working Python environment, you can download it from "python.org":https://www.python.org/downloads/. You will probably want a good IDE for python, two of the most popular ones are "Visual Studio Code":https://code.visualstudio.com/ and "PyCharm":https://www.jetbrains.com/pycharm/.

A Functional Start to Computing with Python

Author : Ted Herman
File Size : 77.51 MB
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A Functional Start to Computing with Python enables students to quickly learn computing without having to use loops, variables, and object abstractions at the start. Requiring no prior programming experience, the book draws on Python’s flexible data types and operations as well as its capacity for defining new functions. Along with the specifics of Python, the text covers important concepts of computing, including software engineering motivation, algorithms behind syntax rules, advanced functional programming ideas, and, briefly, finite state machines. Taking a student-friendly, interactive approach to teach computing, the book addresses more difficult concepts and abstractions later in the text. The author presents ample explanations of data types, operators, and expressions. He also describes comprehensions—the powerful specifications of lists and dictionaries—before introducing loops and variables. This approach helps students better understand assignment syntax and iteration by giving them a mental model of sophisticated data first. Web Resource The book’s supplementary website at http://functionalfirstpython.com/ provides many ancillaries, including: Interactive flashcards on Python language elements Links to extra support for each chapter Unit testing and programming exercises An interactive Python stepper tool Chapter-by-chapter points Material for lectures

The Statistics and Calculus with Python Workshop

Author : Peter Farrell
File Size : 32.93 MB
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With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easy Key Features Discover how most programmers use the main Python libraries when performing statistics with Python Use descriptive statistics and visualizations to answer business and scientific questions Solve complicated calculus problems, such as arc length and solids of revolution using derivatives and integrals Book Description Are you looking to start developing artificial intelligence applications? Do you need a refresher on key mathematical concepts? Full of engaging practical exercises, The Statistics and Calculus with Python Workshop will show you how to apply your understanding of advanced mathematics in the context of Python. The book begins by giving you a high-level overview of the libraries you'll use while performing statistics with Python. As you progress, you'll perform various mathematical tasks using the Python programming language, such as solving algebraic functions with Python starting with basic functions, and then working through transformations and solving equations. Later chapters in the book will cover statistics and calculus concepts and how to use them to solve problems and gain useful insights. Finally, you'll study differential equations with an emphasis on numerical methods and learn about algorithms that directly calculate values of functions. By the end of this book, you'll have learned how to apply essential statistics and calculus concepts to develop robust Python applications that solve business challenges. What you will learn Get to grips with the fundamental mathematical functions in Python Perform calculations on tabular datasets using pandas Understand the differences between polynomials, rational functions, exponential functions, and trigonometric functions Use algebra techniques for solving systems of equations Solve real-world problems with probability Solve optimization problems with derivatives and integrals Who this book is for If you are a Python programmer who wants to develop intelligent solutions that solve challenging business problems, then this book is for you. To better grasp the concepts explained in this book, you must have a thorough understanding of advanced mathematical concepts, such as Markov chains, Euler's formula, and Runge-Kutta methods as the book only explains how these techniques and concepts can be implemented in Python.

Programming Google App Engine

Author : Dan Sanderson
File Size : 46.39 MB
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As one of today's cloud computing services, Google App Engine does more than provide access to a large system of servers. It also offers you a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson shows you how to design your applications for scalability, including ways to perform common development tasks using App Engine's APIs and scalable services. You'll learn about App Engine's application server architecture, runtime environments, and scalable datastore for distributing data, as well as techniques for optimizing your application. App Engine offers nearly unlimited computing power, and this book provides clear and concise instructions for getting the most from it right from the source. Discover the differences between traditional web development and development with App Engine Learn the details of App Engine's Python and Java runtime environments Understand how App Engine handles web requests and executes application code Learn how to use App Engine's scalable datastore, including queries and indexes, transactions, and data modeling Use task queues to parallelize and distribute work across the infrastructure Deploy and manage applications with ease

Problem Solving and Python Programming

Author : J Jayalakshmi et al.
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This textbook is based on Anna University revised syllabus regulation 2017 for first year B.E/B.tech students to understand the problem solving and python programming. This book provides the knowledge of problem solving techniques, fundamental concepts of python programming.

What s New in TensorFlow 2 0

Author : Ajay Baranwal
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Get to grips with key structural changes in TensorFlow 2.0 Key Features Explore TF Keras APIs and strategies to run GPUs, TPUs, and compatible APIs across the TensorFlow ecosystem Learn and implement best practices for building data ingestion pipelines using TF 2.0 APIs Migrate your existing code from TensorFlow 1.x to TensorFlow 2.0 seamlessly Book Description TensorFlow is an end-to-end machine learning platform for experts as well as beginners, and its new version, TensorFlow 2.0 (TF 2.0), improves its simplicity and ease of use. This book will help you understand and utilize the latest TensorFlow features. What's New in TensorFlow 2.0 starts by focusing on advanced concepts such as the new TensorFlow Keras APIs, eager execution, and efficient distribution strategies that help you to run your machine learning models on multiple GPUs and TPUs. The book then takes you through the process of building data ingestion and training pipelines, and it provides recommendations and best practices for feeding data to models created using the new tf.keras API. You'll explore the process of building an inference pipeline using TF Serving and other multi-platform deployments before moving on to explore the newly released AIY, which is essentially do-it-yourself AI. This book delves into the core APIs to help you build unified convolutional and recurrent layers and use TensorBoard to visualize deep learning models using what-if analysis. By the end of the book, you'll have learned about compatibility between TF 2.0 and TF 1.x and be able to migrate to TF 2.0 smoothly. What you will learn Implement tf.keras APIs in TF 2.0 to build, train, and deploy production-grade models Build models with Keras integration and eager execution Explore distribution strategies to run models on GPUs and TPUs Perform what-if analysis with TensorBoard across a variety of models Discover Vision Kit, Voice Kit, and the Edge TPU for model deployments Build complex input data pipelines for ingesting large training datasets Who this book is for If you’re a data scientist, machine learning practitioner, deep learning researcher, or AI enthusiast who wants to migrate code to TensorFlow 2.0 and explore the latest features of TensorFlow 2.0, this book is for you. Prior experience with TensorFlow and Python programming is necessary to understand the concepts covered in the book.

BASIC PYTHON COMMANDS

Author : Manuel McFeely
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Are you looking for a comprehensive yet straightforward course on Python? Do you want to learn a flexible object-oriented programming language that can be used on all the most important platforms right away? This is the book for you. According to the latest data, Python is the fastest-growing programming language globally, mainly due to its simplicity and the fact that it is incredibly intuitive. Thanks to this manual, you'll be able to understand its basics fully. If you know this language, there are no limits to what you can accomplish professionally and straightforwardly. Almost any kind of dynamic application will be within your reach, thanks to the flexibility of the libraries you can use. By mastering Python, you'll be able to create: applications for website development and management computer software and graphic interfaces database robotics or Raspberry programming data analytics games and much more! You'll be able to leverage your knowledge of this software in so many ways, keeping up with the world of work and, indeed, staying one step ahead of others. Did you know that these skills are highly sought after in the Big Data industry, nowadays fundamental for every reality? Python is the point of reference for creating programs even for multinational companies such as Google or NASA. What are you waiting for? Immerse yourself in the reading of this manual and enter the future!

Pandas Brain Teasers

Author : Miki Tebeka
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This book contains 25 short programs that will challenge your understanding of Pandas. Like any big project, the Pandas developers had to make some design decisions that at times seem surprising. This book uses those quirks as a teaching opportunity. By understanding the gaps in your knowledge, you'll become better at what you do. Some of the teasers are from the author's experience shipping bugs to production, and some from others doing the same. Teasers and puzzles are fun, and learning how to solve them can teach you to avoid programming mistakes and maybe even impress your colleagues and future employers. Working with data is central to nearly everything we do, from disease contact tracing and analyzing health records to smart meters that track utility consumption behavior. With the power of Python's pandas library, you can process and analyze this data in a highly efficient and simple-to-understand way. And with 25 brain teasers designed to turn this technology's quirks into a teaching opportunity, you'll be honing your data science skills while having fun at the same time. Following a simple format, you'll challenge yourself and your understanding of pandas. Read a short Python program that uses pandas, try to guess the output, run the code yourself, and then go to the next page for an explanation of the solution. From common pitfalls and hidden gotchas to unexpected twists and turns, you'll deepen your understanding of pandas, learn to write more efficient code, and reduce the number of bugs in the software you develop. You may even impress your colleagues and your employers, both present and future. Learn the tricks of the trade with Python's pandas, in one of the most fun and creative ways around. What You Need: To run the code you'll need Python version 3.8 or upper and Pandas version 1.0 or upper installed. We use Python version 3.8.3 and Pandas version 1.0.5; the output might change in future versions.

Go Brain Teasers

Author : Miki Tebeka
File Size : 89.42 MB
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This book contains 25 short programs that will challenge your understanding of Go. Like any big project, the Go developers had to make some design decisions that at times seem surprising. This book uses those quirks as a teaching opportunity. By understanding the gaps in your knowledge, you'll become better at what you do. Some of the teasers are from the author's experience shipping bugs to production, and some from others doing the same. Teasers and puzzles are fun, and learning how to solve them can teach you to avoid programming mistakes and maybe even impress your colleagues and future employers. Programmers love the Go (golang) programming language because of its efficiency and simple tooling. But that doesn't mean programming in Go is without challenges, like hidden dependencies that trip up the compiler and interesting string type conversions that differ from languages like Python. Work your way through 25 short brain teasers, and learn the nuances of Go in one of the most fun and creative ways around. Challenge yourself and challenge your assumptions to gain a more in-depth understanding of integers, strings, Unicode, compiler behavior, and a variety of subtle programming gotchas that might otherwise trip you up. Just read a short program written in Go, try to guess the output, run the code yourself, and then go to the next page for an explanation of the solution. By working through these brain teasers, you'll tighten up your Go programming skills and have lots of fun at the same time. Taken from real-world, programming problems, conference talks, and meetup quizzes, these brain teasers provide an effective learning tool that's as enjoyable as it is educational. What You Need: This book assumes you know Go at some level and have experience programming with it. *NOTE:* We use Go version 1.14.1 to run the code; the output might change in future versions. You will need a working Go environment, you can download it from https://golang.org/dl. You will probably want a good IDE for Go, two of the most popular ones are Visual Studio Code and GoLand.

Mastering Python for Networking and Security

Author : Jose Manuel Ortega
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Tackle security and networking issues using Python libraries such as Nmap, requests, asyncio, and scapy Key Features Enhance your Python programming skills in securing systems and executing networking tasks Explore Python scripts to debug and secure complex networks Learn to avoid common cyber events with modern Python scripting Book Description It's now more apparent than ever that security is a critical aspect of IT infrastructure, and that devastating data breaches can occur from simple network line hacks. As shown in this book, combining the latest version of Python with an increased focus on network security can help you to level up your defenses against cyber attacks and cyber threats. Python is being used for increasingly advanced tasks, with the latest update introducing new libraries and packages featured in the Python 3.7.4 recommended version. Moreover, most scripts are compatible with the latest versions of Python and can also be executed in a virtual environment. This book will guide you through using these updated packages to build a secure network with the help of Python scripting. You'll cover a range of topics, from building a network to the procedures you need to follow to secure it. Starting by exploring different packages and libraries, you'll learn about various ways to build a network and connect with the Tor network through Python scripting. You will also learn how to assess a network's vulnerabilities using Python security scripting. Later, you'll learn how to achieve endpoint protection by leveraging Python packages, along with writing forensic scripts. By the end of this Python book, you'll be able to use Python to build secure apps using cryptography and steganography techniques. What you will learn Create scripts in Python to automate security and pentesting tasks Explore Python programming tools that are used in network security processes Automate tasks such as analyzing and extracting information from servers Understand how to detect server vulnerabilities and analyze security modules Discover ways to connect to and get information from the Tor network Focus on how to extract information with Python forensics tools Who this book is for This Python network security book is for network engineers, system administrators, or any security professional looking to overcome networking and security challenges. You will also find this book useful if you're a programmer with prior experience in Python. A basic understanding of general programming structures and the Python programming language is required before getting started.

Working with Map Projections

Author : Fritz Kessler
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A map projection fundamentally impacts the map making process. Working with Map Projections: A Guide to their Selection explains why, for any given map, there isn’t a single "best" map projection. Selecting a projection is a matter of understanding the compromises and consequences of showing a 3-D space in two dimensions. It presents a clear understanding of the processes necessary to make logical decisions on selecting an appropriate map projection for a given data set. It discusses the logic needed in the selection process, why certain decisions should be made, and explains the consequences of any inappropriate decision made during the selection process. This book focuses clearly on explaining the processes involved in selecting a map projection, and how the map projection will impact the map’s ability to fulfill its purpose, uses real world datasets as the basis for the selection of an appropriate map projection, and provides illustrations of an appropriately and inappropriately selected map projection for a given data set. It takes a novel approach to discussing map projections by avoiding an extensive inventory of mathematical formulae and using mathematics of map projections that matter for many mapping tasks. It also presents information that is directly applicable to the process of selecting map projections and is not tied to a specific software package. Written by leading experts, this book is an invaluable resource for anyone studying or working with geospatial data, from high school students to seasoned professionals and will help readers successfully weigh the pros and cons of choosing one projection over another to suit the map’s intended purpose.

Make Technology on Your Own Time

Author : Mark Frauenfelder
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The first magazine devoted entirely to do-it-yourself technology projectspresents its 25th quarterly edition for people who like to tweak, disassemble, recreate,and invent cool new uses for technology. MAKE Volume 25 is all about the Arduino Revolution! Give your gadgets a brain! Previously out of reach for the do-it-yourselfer, the tiny computers called microcontrollers are now so cheap and easy to use that anyone can make their stuff smart. With a microcontroller, your gadget can sense the environment, talk to the internet or other hardware, and make things happen in the real world by controlling motors, lights, or any electronic device. The Arduino is an easy-to-use microcontroller board -- it's like an R&D lab on your kitchen table for prototyping any gadget. We show you how to make one, and how to use Arduinos and other microcontrollers to make an automatic yogurt maker, a vintage Skype telephone, a gumball machine that recognizes your secret knock, and more. Plus, make a Helicopter Rocket, gourmet Sous Vide food cooker, Reverse Geocache treasure box, and many more fun DIY projects.

The Hitchhiker s Guide to Python

Author : Kenneth Reitz
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The Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. More than any other language, Python was created with the philosophy of simplicity and parsimony. Now 25 years old, Python has become the primary or secondary language (after SQL) for many business users. With popularity comes diversity—and possibly dilution. This guide, collaboratively written by over a hundred members of the Python community, describes best practices currently used by package and application developers. Unlike other books for this audience, The Hitchhiker’s Guide is light on reusable code and heavier on design philosophy, directing the reader to excellent sources that already exist.

Deep Time Series Forecasting with Python

Author : N. Lewis
File Size : 56.97 MB
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Master Deep Time Series Forecasting with Python! Deep Time Series Forecasting with Python takes you on a gentle, fun and unhurried practical journey to creating deep neural network models for time series forecasting with Python. It uses plain language rather than mathematics; And is designed for working professionals, office workers, economists, business analysts and computer users who want to try deep learning on their own time series data using Python. QUICK AND EASY: Using plain language, this book offers a simple, intuitive, practical, non-mathematical, easy to follow guide to the most successful ideas, outstanding techniques and usable solutions available using Python. Examples are clearly described and can be typed directly into Python as printed on the page. NO EXPERIENCE? I'm assuming you never did like linear algebra, don't want to see things derived, dislike complicated computer code, and you're here because you want to see how to use deep learning for time series forecasting explained in plain language, and try it out for yourself. THIS BOOK IS FOR YOU IF YOU WANT: Explanations rather than mathematical derivation Real world applications that make sense. Illustrations to deepen your understanding. Worked examples you can easily follow and immediately implement. Ideas you can actually use and try on your own data. CUT LEARNING TIME IN HALF!: This guide was written for people who want to get up to speed as soon as possible. Through a simple to follow process you will learn how to build deep time series forecasting models in the minimum amount of time using Python. Once you have mastered the process, it will be easy for you to translate your knowledge into your own powerful business applications. YOU'LL LEARN HOW TO: Unleash the power of Long Short-Term Memory Neural Networks . Develop hands on skills using the Gated Recurrent Unit Neural Network. Design successful applications with Recurrent Neural Networks. Deploy Nonlinear Auto-regressive Network with Exogenous Inputs.. Adapt Deep Neural Networks for Time Series Forecasting. Master strategies to build superior Time Series Models. Everything you need to get started is contained within this book. Deep Time series Forecasting with Python is your very own hands on practical, tactical, easy to follow guide to mastery. Buy this book today and accelerate your progress!

Help Your Boss Help You

Author : Ken Kousen
File Size : 48.75 MB
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Develop more productive habits in dealing with your manager. As a professional in the business world, you care about doing your job the right way. The quality of your work matters to you, both as a professional and as a person. The company you work for cares about making money and your boss is evaluated on that basis. Sometimes those goals overlap, but the different priorities mean conflict is inevitable. Take concrete steps to build a relationship with your manager that helps both sides succeed. Guide your manager to treat you as a vital member of the team who should be kept as happy and productive as possible. When your manager insists on a course of action you don't like, most employees feel they have only two options: you can swallow your objections, or you can leave. Neither option gets you what you want, which is for your manager to consider your interests when making decisions. Challenging your boss directly is risky, but if you understand what really matters to your manager, you can build a balanced relationship that works for both sides. Provide timely "good enough" answers that satisfy the immediate need of the boss to move forward. Use a productive solution to the Iterated Prisoner's Dilemma to structure your interactions with management, going along when necessary and pushing back where appropriate, without threatening the loyalty relationship. Send the two most important messages to your boss: "I got this" and "I got your back," to prove your value to the boss and the organization. Analyze your manager's communication preferences so you can express your arguments in a way most likely to be heard and understood. Avoid key traps, like thinking of the boss as your friend or violating the chain of command unnecessarily.