Описание: If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading.
Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.
That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science.
Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms,
In manuscript one, Python for Beginners, you will learn:
How to install Python
What are the different Python Data Types and Variables
Basic Operators of Python Language
Data Structures and Functions
Conditional and Loops in Python
And Much More
In manuscript two, Python Advanced Guide, you will master:
Object-Oriented Programming (OOP), Inheritance and Polymorphism
Essential Programming Tools
Exception Handling
Working with Files
And Much More
In manuscript three, Python for Data Analysis, you will learn:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
The 7 Python libraries that make Python one of the best choices for Data Analysis
Pandas, Jupyter and PyTorch
And Much More
In manuscript four, Applications to Data Science, you will understand:
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Neural Networks
Decision Trees
What industries are using data to improve their business with 14 real-world applications
And So Much More
Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications.
Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy
Описание: Data science has a huge impact on how companies conduct business, and those who don`t learn about this revolutionaryfield could be left behind. You see, data science will help you make better decisions, know what products and services to release, and how to provide better service to your customers.
Описание: This new third edition of Mastering Kubernetes, updated with the latest tools and code, explores the newest features in Kubernetes 1.18 throughout the book to fully leverage the modularity and flexibility that Kubernetes offers to build and run large scale distributed applications.
Автор: Shao Yingxia, Cui Bin, Chen Lei Название: Large-Scale Graph Analysis: System, Algorithm and Optimization ISBN: 9811539278 ISBN-13(EAN): 9789811539275 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
Автор: Champagne Jamie Название: Seven Steps to Mastering Business Analysis: The Essentials ISBN: 1604271604 ISBN-13(EAN): 9781604271607 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 8772.00 р. Наличие на складе: Нет в наличии.
Описание: This volume in the Business Analysis Professional Development Series by leading expert and keynote speaker Jamie Champagne is the second edition of our number #1 best seller. It is an instructional text that will help relatively new analysts, and those expected who do business analysis work in addition to their main role, build their skill sets, master the essentials, and advance their careers. Since the content is aligned with the consensus-based business analysis standards of both the Project Management Institute (PMI) and the International Institute of Business Analysis (IIBA), as articulated in their respective guides and bodies of knowledge, this book continues to be an excellent reference for the PMI-PBA, ECBA, CCBA, and CBAP certification exams. Seven Steps to Mastering Business Analysis, 2nd Edition, presents detailed explanations of business analysis concepts, terms, tasks, and techniques, and includes examples to help readers understand how to apply them to real-world situations. It also delineates the key activities that are core to the BA role and the diverse range of activities analysts perform based on their career competency level, ranging from problem solving and identification of business opportunities, to complex systems thinking and solution development, to strategic planning and change management. Even for those not interested in certification, like its first edition, this guide is a must-have reference for BA generalists, specialists, and hybrids at every career level and industry segment or perspective.Key Features:Helps new and experienced BAs, as well as project managers, system analysts, product managers and many others doing analysis work, master the skill sets essential to successful business analysisSupplies a clear definition of the business analysis role and insights on how to approach analysis work to help deliver successful solutionsBrings needed attention to the significant value those performing the BA role are delivering to all areas of organizations today in the form of change efforts and in project-based work focused on elicitation, analysis, validation, problem solving, and solution deliveryArticulates numerous techniques and approaches for learning the business you are working in and gaining an understanding of the technology environment regardless of your backgroundWalks readers through the business case process for gaining support and initiating projects and change effortsDetails techniques for successful requirements elicitation, analysis, and validation and how to successfully plan your approach to delivering high-quality business analysis deliverablesExplains the current frameworks used for change and project-based work and offers suggestions on how to select the best approach/technique from the various analysis work methodologiesDiscusses why and how organizations approach change efforts through projects and the added value analysts can provide in helping project-based work be successful beyond the scope of the projectShows BAs how to work with stakeholders, approach them and identify what they need, build successful working relationships, and communicate and present deliverablesProvides guidance relevant to BAs at every career level on how to plan, measure, and continuously improve your business analysis work and skill setsExamines the ideal traits, professional attributes, and skills of those most likely to be successful in the role to help aspiring BAs determine if it is a good fit for them and those hiring or managing BAs
Описание: If you want to learn Python in one week (or less) and learn it well, with useful applications to Data Analysis, Machine Learning and Data Science, then keep reading.
Python is one of the most beloved programming languages in any circle of programmers. Software engineers, hackers, and Data Scientists alike are in love with the versatility that Python has to offer. Besides, the Object-Oriented feature of Python coupled with its flexibility is also one of the major attractions for this language.
That's the reason why Python is a perfect fit with Data Analysis, Machine Learning and Data Science.
Data is the future. The world of technology as we know it is evolving towards an open-source platform where people share ideas freely. This is seen as the first step towards the decentralization of ideas and eliminating unnecessary monopolies. Therefore, the data, tools, and techniques used in the analysis are easily available for anyone to interpret data sets and get relevant explanations.
The goal of this 4-in-1 bundle is simple: explaining everything you need to know to Master Python. With a special emphasis on the main steps that are needed to correctly implement Data Analysis and Machine Learning algorithms,
In manuscript one, Python for Beginners, you will learn:
How to install Python
What are the different Python Data Types and Variables
Basic Operators of Python Language
Data Structures and Functions
Conditional and Loops in Python
And Much More
In manuscript two, Python Advanced Guide, you will master:
Object-Oriented Programming (OOP), Inheritance and Polymorphism
Essential Programming Tools
Exception Handling
Working with Files
And Much More
In manuscript three, Python for Data Analysis, you will learn:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
The 7 Python libraries that make Python one of the best choices for Data Analysis
Pandas, Jupyter and PyTorch
And Much More
In manuscript four, Applications to Data Science, you will understand:
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Neural Networks
Decision Trees
What industries are using data to improve their business with 14 real-world applications
And So Much More
Where most books about Python programming are theoretical and have few or little practical examples, this book provides lots of simple, step-by-step examples and illustrations that are used to underline key concepts and help improve your understanding.
Furthermore, topics are carefully selected to give you broad exposure to Python, while not overwhelming you with too much information. Also, the outputs of ALL the examples are provided immediately so you do not have to wait till you have access to your computer to test the examples.
Even if you have never coded before, this is the perfect guide because it breaks down complex concepts into simple steps and in a concise and simple way that fits well with beginners. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them, and the most important real-world applications.
Would you like to know more?Scroll Up and Click the BUY NOW Button to Get Your Copy
Описание: If you want to learn more about Data Science or how to master it with the Python Programming Language Step-by-Step, then keep reading.
Data Science is one of the biggest buzzwords in the business world nowadays. Many businesses know the importance of collecting information, but as they can collect so much data in a short period, the real question is: "what is the next step?"
Data Science includes all the different steps that you take with the data: collecting and cleaning them if they come from more than one source, analyzing them, applying Machine Learning algorithms and models, and then presenting your findings from the analysis with some good Data Visualizations.
You will learn about the main steps that are needed to correctly implement Data Science techniques and the algorithms to help you sort through the data and see some amazing results. Some of the topics that we will discuss inside include
-A thorough and simple explanation of data science and the way it works
-Basics of data science and fundamental skills you need to get started
-A blueprint for the most used frameworks for Python data science
-How to process and understand the data and design your own projects
-What data science is all about and why so many companies are using it to give them a competitive edge.
-Why Python and how to use it to implement Data Science
-What is the intersection between Machine Learning and Data Science and how to combine them
-Functions and Modules in Python
-Data Aggregation and Group Operations
-Interaction with databases and data in the cloud
-And Much More
Even if you have never implemented Data Science techniques, learning them is easier than it looks. You just need the right guidance. And Python Data Science provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.
Would You Like To Know More?
Scroll up and click on the BUY NOW button to get your copy now
Описание: ⭐️ 55% OFF for Bookstores NOW at $ 54.95 instead of $ 85.17⭐️
Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
Your Customers will never stop to use this book.
In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
How to implement Program Flow Controls
And much more...
In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
And much more...
In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
And much more...
In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
And much more...
In Manuscript 6 "SQL" you'll learn
Creating an SQL view
How to setup & create a database
And more..
Buy it NOW and let your customers get addicted to this amazing book
Описание: ⭐️ 55% OFF for Bookstores NOW at $ 64.95 instead of $ 100.67⭐️
Do you want to learn Python Programming well and fast?Are you looking for the best Python for Data Analysis and Analytics course?Do want to learn Python Machine Learning and start implementing models?
This is the most complete Python guide with 6 Manuscripts in 1 book:
Your Customers will never stop to use this book.
In Manuscripts 1 and 2 "Python For Beginners" and "Advanced Python Programming" you'll learn:
How to work with numbers in Python
How to implement Program Flow Controls
And much more...
In Manuscript 3 "Python for Data Analysis & Analytics" you'll learn:
What Data Analysis is and why it is important
How to set up the Python environment for Data Analysis
And much more...
In Manuscript 4 "Python for Data Science" you'll learn:
What is Data Science and what does it encompass
How to set up the Python environment for Data Science
And much more...
In Manuscript 5 "Python Machine Learning" you'll learn
What is Machine Learning and what does it encompass
What are the 7 Steps of the Machine Learning Process
And much more...
In Manuscript 6 "SQL" you'll learn
Creating an SQL view
How to setup & create a database
And more..
Buy it NOW and let your customers get addicted to this amazing book
Автор: Zhixiong Zhong, Chih-Min Lin Название: Large-Scale Fuzzy Interconnected Control Systems Design and Analysis ISBN: 1522523855 ISBN-13(EAN): 9781522523857 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 25502.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "This book gives a foundational and comprehensive treatment of large scale nonlinear interconnected systems using T-S fuzzy model approach. The subject of this book is a systematic framework for the stability analysis and controller design of large-scale fuzzy interconnected control systems. Building on the so-called T-S fuzzy model, important issues in fuzzy interconnected control systems are addressed"--
Автор: Shao Yingxia, Cui Bin, Chen Lei Название: Large-Scale Graph Analysis: System, Algorithm and Optimization ISBN: 9811539308 ISBN-13(EAN): 9789811539305 Издательство: Springer Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book introduces readers to a workload-aware methodology for large-scale graph algorithm optimization in graph-computing systems, and proposes several optimization techniques that can enable these systems to handle advanced graph algorithms efficiently.
Автор: Toms Silas, Rees Eric Van, Crickard Paul Название: Mastering Geospatial Analysis with Python ISBN: 1788293339 ISBN-13(EAN): 9781788293334 Издательство: Неизвестно Цена: 10114.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Python comes with many libraries and tools that help you work on geoprocessing tasks without investing in expensive tools. This book introduces you to new libraries that perform geospatial and statistical analysis and data management. It uses examples that explain how Python v3 differs from v2, and solve age-old problems in geospatial analysis.
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