Автор: Mele, Antonio Belderbos, Bob Название: Django 4 by example ISBN: 1801813051 ISBN-13(EAN): 9781801813051 Издательство: Неизвестно Рейтинг: Цена: 72790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Django 4 by Example is the fourth edition of the best-selling franchise that helps you build web applications. This book will guide you through the entire process of developing professional web applications with Django. The book focuses on explaining how the Django Web Framework works by building multiple projects from the ground up.
Название: Python Programming on Win32 ISBN: 1565926218 ISBN-13(EAN): 9781565926219 Издательство: Wiley Рейтинг: Цена: 50680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Demonstrates how to use Python as a serious Windows development tool. The book addresses all the basic technolgies for common integration tasks on Windows, explaining both the Windows issues and the Python code needed to glue things together.
Автор: Langtangen Hans Petter Название: A Primer on Scientific Programming with Python ISBN: 3662498863 ISBN-13(EAN): 9783662498866 Издательство: Springer Рейтинг: Цена: 32600.00 T Наличие на складе: Есть Описание: The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches 'Matlab-style' and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science.From the reviews: Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. F. H. Wild III, Choice, Vol. 47 (8), April 2010Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” John D. Cook, The Mathematical Association of America, September 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science.Alex Small, IEEE, CiSE Vol. 14 (2), March?/April 2012 “This fourth edition is awonderful, inclusive textbook that covers pretty much everything one needs toknow to go from zero to fairly sophisticated scientific programming in Python…”Joan Horvath, Computing Reviews, March2015
Автор: Yogendra Narayan Pandey et al Название: Machine learning in the oil and gas industry ISBN: 1484260937 ISBN-13(EAN): 9781484260937 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of some interesting problems, which are good candidates for applying machine and deep learning approaches.
The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering.
Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will LearnUnderstanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industryGet the basic concepts of computer programming and machine and deep learning required for implementing the algorithms usedStudy interesting industry problems that are good candidates for being solved by machine and deep learningDiscover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.
Автор: Idris, Ivan (Author) Название: Python Data Analysis Cookbook ISBN: 178528228X ISBN-13(EAN): 9781785282287 Издательство: Неизвестно Рейтинг: Цена: 67430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Over 140 practical recipes to help you make sense of your data with ease and build production-ready data appsAbout This Book* Analyze Big Data sets, create attractive visualizations, and manipulate and process various data types* Packed with rich recipes to help you learn and explore amazing algorithms for statistics and machine learning* Authored by Ivan Idris, expert in python programming and proud author of eight highly reviewed booksWho This Book Is ForThis book teaches Python data analysis at an intermediate level with the goal of transforming you from journeyman to master. Basic Python and data analysis skills and affinity are assumed. What You Will Learn* Set up reproducible data analysis* Clean and transform data* Apply advanced statistical analysis* Create attractive data visualizations* Web scrape and work with databases, Hadoop, and Spark* Analyze images and time series data* Mine text and analyze social networks* Use machine learning and evaluate the results* Take advantage of parallelism and concurrencyIn DetailData analysis is a rapidly evolving field and Python is a multi-paradigm programming language suitable for object-oriented application development and functional design patterns.
As Python offers a range of tools and libraries for all purposes, it has slowly evolved as the primary language for data science, including topics on: data analysis, visualization, and machine learning. Python Data Analysis Cookbook focuses on reproducibility and creating production-ready systems. You will start with recipes that set the foundation for data analysis with libraries such as matplotlib, NumPy, and pandas.
You will learn to create visualizations by choosing color maps and palettes then dive into statistical data analysis using distribution algorithms and correlations. You'll then help you find your way around different data and numerical problems, get to grips with Spark and HDFS, and then set up migration scripts for web mining. In this book, you will dive deeper into recipes on spectral analysis, smoothing, and bootstrapping methods.
Moving on, you will learn to rank stocks and check market efficiency, then work with metrics and clusters. You will achieve parallelism to improve system performance by using multiple threads and speeding up your code. By the end of the book, you will be capable of handling various data analysis techniques in Python and devising solutions for problem scenarios.
Style and ApproachThe book is written in "cookbook" style striving for high realism in data analysis. Through the recipe-based format, you can read each recipe separately as required and immediately apply the knowledge gained.
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.
Название: Python for MBAs ISBN: 0231193939 ISBN-13(EAN): 9780231193931 Издательство: Wiley Рейтинг: Цена: 31680.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book is an introduction to programming with Python for MBA students and others in business positions who need a crash course. Beginning with fundamentals such as variables, strings, lists, and functions, it builds up to data analytics and practical ways to derive value from large and complex datasets.
Did you know that according to Harvard Business Review the Data Scientist is the sexiest job of the 21st century? And for a reason
If "sexy" means having rare qualities that are much in demand, data scientists are already there. They are expensive to hire and, given the very competitive market for their services, difficult to retain. There simply aren't a lot of people with their combination of scientific background and computational and analytical skills.
Data Science is all about transforming data into business value using math and algorithms. And needless to say, Python is the must-know programming language of the 21st century.
If you are interested in coding and Data Science, then you must know Python to succeed in these industries
Data Science for Beginners is the perfect place to start learning everything you need to succeed. Contained within these four essential books are the methods, concepts, and important practical examples to help build your foundation for excelling at the discipline that is shaping the modern word.
This bundle is perfect for programmers, software engineers, project managers and those who just want to keep up with technology.
With these books in your hands, you will:
● Learn Python from scratch including the basic operations, how to install it, data structures and functions, and conditional loops
● Build upon the fundamentals with advanced techniques like Object-Oriented Programming (OOP), Inheritance, and Polymorphism
● Discover the importance of Data Science and how to use it in real-world situations
● Learn the 5 steps of Data Analysis so you can comprehend and analyze data sitting right in front of you
● Increase your income by learning a new, valuable skill that only a select handful of people take the time to learn
● Discover how companies can improve their business through practical examples and explanations
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This bundle is essential for anyone who wants to study Data Science and learn how the world is moving to an open-source platform.
Whether you are a software engineer or a project manager, jump to the next level by developing a data-driven approach and learning how to define a data-driven vision of your business
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In today's Industry, Python Programming is highly recommended for developing Websites.
The creator of this programming language was Guido Van Rossum, released first in the year 1991.
The multiple supporting programming paradigms made itself unique from other programming languages as it had some outstanding features like unique adaptability, the ability to adopt machine learning, scientific computation, cloud infrastructure and above all web development.
Python's role is really commendable in both software development, as well as, web development.
This book is helpful for learning everything Python has to offer.
By connecting with a database system Python can read and modify files. To create workflows in Software, this language is helpful. Python also supports a dynamic type system, automatic memory management, object-oriented and structured programming.
Moreover, this programming language has the potential to support the various concepts in functional and aspect-oriented programming. Where the other programming languages use semicolon or parentheses to complete a command, Python uses new lines to complete it.
Python Coding and Programming
Python is one of the easiest computer languages to learn. The most striking part of this language is that it is widely used in NASA.
The developers should focus on the quality of the source code to simplify its uses.
Other programming languages never focused on the code readability, but Python is always ready to strengthen the code readability with the help of English keywords. Writing additional code is not necessary for Python to create custom applications.
When you want to learn a language understood by computers, all over the world, you should take the help of this eBook.
It supports several programming paradigms like logic programming and design by contract. In late 1980, as a legatee to the ABC language, the python was conceived. The exceptional powerful ideology of this programming language has influenced many other languages, like BOO, GOBRA, JULIA, RUBY, SWIFT, etc, and those languages hire Python designs for their development.
Interested in starting Data analysis and not sure which Programming language to use to develop Data Analysis Programs? Are you a beginner and would like to learn Python in order to develop the necessary skills for data analysis and note sure where to start?
Do you have data and want to analyze and provide professional figures for your presentation and communication and don't know which programming language to use or interested in using Python?
This book is intended to address all these questions. In fact, the aim of this book is providing the absolute beginners or other programmers that has no experience with Python programming the basic and fundamental tools of the Python language.
This book provides not only the basic syntax of Python but also an advanced command to evaluate the performance of your code in interactive programming environment (i.e. Jupyter) and a guide to use the fundamentals Python libraries for data analysis which are Pandas, NumPy and Matplotlib libraries. All these libraries are presented with examples with real data so you can practice at the same time when learning the functionalities of this library.
By reading this book, you will learn:
- The characteristics and utilities of using Python over other programming languages
- How to get started and install Python
- The basic syntax of Python programming and different basic data structures in Python
- How to develop modules and functions in Python
- How to install and use magic command in Ipython
- Functionalities of NumPy library for numerical programming
- Functionalities of Pandas library for data analysis
- Creating and customizing figures to visualize data with Matplotlib library
Even if don't have any background or skills in programming, this book will provide you and help you develop the required skills and basic technics to start data analysis with Python programming. It also provides you with code and data so you can practice. By reading this book will easily learn how to use python and Python libraries for easy data analysis and management. By developing the skills provided in this book, you will easily develop more advanced skills and acquire advanced technics that will allow to go from a beginner to an expert in Python.
If You Are Looking For A Guide That Introduces You Step By Step Into The Articulated World Of Python Programming Then Keep Reading
It can be difficult to get started with coding if you have not the right support. You may have looked at some of the most popular coding languages, such as C++ or Java and were a little scared of what you have seen. You may have bought ebooks that have been filled to the edge with letters and symbols that you just didn't understand, and you were frustrated and just wanted to go away. Many people are afraid of programming and feel like it's just too hard. But with this Python programming language guide, filled with examples and exercises, you will find that even some of the more complex parts of the code are going to be easier to handle and you will find that it can be easier than ever to learn about coding and even to read it as a professional. This guide will give the basic principles you need to start with Python programming. We will start a little talk about what Python programming is, as well as some of the steps you need to take to download the program and gives you some more information to actually understand why this program is so GREAT. We will then step further to some keywords that will be useful to you when you start the program and even talk about the pros and cons of using Python for all your coding and app needs. The rest of the guide is dedicated to talking about some of the different things you can do with the Python Program as well as various examples of how each of them work. We are talking about adding comments in the code, working with strings and integers, and even working with variables so that they will display correctly in the program.
Here Are Some Of The Information You Will Find:
Why You Should Select Python As Your Language?
Which Version Of Python Should You Have?
Installing The Python Language In Three Of The Most Common Operating Systems
All You Need To Know About Python Variables And Python Numbers
How To Create, Replicate and Store Python Strings (and other 13 activities about strings)
Acquire The Necessary Knowledge To Get Hired In Many Companies
The Six Most Important Things To Know About Operators And Expressions
And More And More About Python Tuples And Sets, Conditional Execution And Iteration
Even if you've never written or seen a programming code in your whole life; Even if you've never used a coding programm; Even if you are bad or have no experience at coding, do not need to worry because this guide was written to guide complete beginners like you.
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