Python Programming for Data Analysis, Unpingco Josй
Автор: Matt A. Wood Название: Python and Matplotlib Essentials for Scientists and Engineers ISBN: 1681749106 ISBN-13(EAN): 9781681749105 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 41580.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.
In this book you can learn all about Python machine learning, data science, data analysis, and programming. Once you get the hang of the basics, this crash course will help you use all this knowledge for practical tasks and start programming in seven days
This is a complete Python guide with 3 Manuscripts in 1 book:
1.Learn Python Programming
2.Python Crash Course
3.Python for Data Analysis
A great opportunity for you: simplicity, wide selection of topics to learn, practical exercises and quick and selected examples.
In Manuscript 1 "Learn Python Programming" you'll learn:
Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types
And much more...
In Manuscript 2 "Python Crash Course" you'll learn:
Evolution of Python
Introduction to Python
Variables and constants in Python
How to install Python
Designing and using Functions
A modular approach to program organization
Using methods
Reading and writing files in Python
And much more...
In Manuscript 3 "Python for Data Analysis" you'll learn:
What is deep learning
How to conduct a data analysis
The different Python libraries that you are able to use for deep learning.
Understanding some of the math behind neural networks.
The basics of working with the TensorFlow library that can help you with your deep learning project.
How to handle the Keras library for your needs.
The PyTorch library and how this library is going to be able to help us out with machine learning and deep learning.
Looking more at machine learning and how we are able to fit this into some of the data analysis that we are talking about.
How deep learning is going to be helpful when it is time to handle your own predictive analysis.
And much more...
This book is for people who dream of becoming expert programmers without spending months learning the basics. If you set aside some time every day to read this book and practice, then you'll be able to start developing your programs and apps in no time.
Ready to get started?
Scroll up, click on "Buy Now Button", and Get Your Copy Now
Автор: Simpson Oliver R. Название: Python for Data Analysis: A Basic Guide For Beginners To Learn The Language Of Python Programming Codes Applied To Data Analysis With Libraries ISBN: 1801203245 ISBN-13(EAN): 9781801203241 Издательство: Неизвестно Рейтинг: Цена: 18370.00 T Наличие на складе: Нет в наличии. Описание: Are you a new business owner? Or an entrepreneur looking to catch up to the big companies in your industrial sector? If you want to be a data analysis expert, and looking to develop a sound understanding of all the nitty-gritty of this field, then this book is here to rescue you by simplifying and providing a working definition of "Big Data" and "Big Data Analytics."
In addition to that, this book will also provide you a concise overview of the fundamentals of machine learning, the underlying challenges and limitations of engineering machines to 'think' using open source data analysis libraries built on Python such as "Scikit-Learn" and "Pandas", with example from open source data sets that you can easily access and get your hands dirty.
Thanks to the smart and savvy customer of today, the competition to gain new customers while retaining existing customers is fierce.
As a result, companies are increasingly relying upon cutting edge technologies such as big data analytics, data mining technology, machine learning, and artificial intelligence technology to gain an edge over the competition.
Few of the many reasons why you should buy this book include:
- Learn how our increasing online presence has led to the development of large volumes of data called "Big Data" and its significance in our modern lives.
- Learn all about the historical development of the current explosion in this field of Big Data Analytics and how it differs from data visualization techniques.
- Dig deep into the data mining process, the benefits of using data mining technology, the challenges facing the data mining technology, and learn about some data mining tools that you can leverage for your business.
- Get familiar with the "Python" programming language with a detailed overview of a variety of Data Analysis libraries, including "Django," "Scikit-Learn," "NumPy," "Pandas," and "IPython" among others.
- Deep dive into the concept of personalized marketing, predictive analytics, customer analytics, and exploratory data analysis presented with details on how you can make sense out of all your customer behavioral data.
- Get a step-by-step walkthrough of how the "Scikit-Learn" platform can be used to create your own predictive data analysis model by processing Big Data to produce high-quality training and test data sets.
- Learn how big data and big data analytics are being leveraged by businesses across the industrial spectrum, with a focus on the eCommerce, healthcare, and entertainment industry.
This book is filled with real-life examples to help you understand the nitty-gritty of all the concepts as well as names and descriptions of multiple tools that you can further explore and selectively implement in your business to reap the benefits of these cutting-edge technologies.
Remember, knowledge is power, and with the great power you will gather from this book, you will be armed to make sound personal and professional technological choices.
So, be a Good Samaritan and spread the word to your friends and family, help them get access to this power
If this is the book you need to understand and master the fundamentals and importance of big data science technologies to kick start your business or take it to the next level, Scroll Up and Click the Buy Now Button.
Are you looking to master the fundamental concepts of Data Analysis and Data Science?
Do you want learn Python programming language fast?
You are in the right place
Python can be used for a variety of coding projects including machine learning algorithms, web applications, data mining and visualization, game development.
Some of the highlights of this book include:
- What the Python language is
- How we can benefit from data analysis, no matter what industry we are.
- How Python is able to work well with the data analysis
- How to install and use the NumPy library, one of the best extensions with Python, to help us get our data analysis done.
- How to work with the Pandas and IPython extensions so that we are able to get things done with your analysis.
- A look at the Matplotlib library to help you create some of your own visuals with your data when the analysis is done.
- How to work with data visuals and how they are so important to your work.
- The five major stages of the TDSP lifecycle.
- Installation instructions for Python
- Python coding concepts such as data types, classes, and objects variables, numbers, constructor functions, Booleans and much more.
- Learn the functioning of various data science libraries like Scikit-Learn
- How to create various graphs using Matplotlib and Pandas library.
- Learn how machine learning allows analysis of large volumes of data and delivers faster and more accurate results.
- Overview of four different machine-learning algorithms
- Learn how companies are able to employ a predictive analytics model
Even if you have never studied Python language before, you can learn it quickly.
So what are you waiting for? Go to the top of the page and click Buy Now
Would you like to become an expert in coding and programming?
Are you looking for a way to learn coding on your own?
Well, this book is everything you've been looking for It will teach you everything there is about Python coding, programming, artificial intelligence, and machine learning.
If you want to learn how to code, taking your first steps into the coding universe might seem like an intimidating and daunting task.
Here's the big secret: there are plenty of resources you can use to give yourself all the help you need, teach yourself new techniques, and make this learning process fun and exciting And this guide is precisely one of those resources that will help you out
Here is what this book contains:
-Everything there is to know about machine learning and artificial intelligence
-Extensive training in data science
-A beginner's guide to learning Python without breaking a sweat
-The benefits of learning Python
-Practical exercises that help you check your progress
The best way to learn to code involves you getting up-close-and-personal with a real book that you can follow along from beginning to end. This will give you a more comprehensive introduction to coding than jumping around from topic to topic on a website.
Not only will this book teach you how to code, but it will also test your new skills The practical exercises section will show you more about functions and modules and also how to make your program interactive.
Without applying your coding skills in a few projects, you won't even be considered a real coder. So, start learning and practicing
You don't have to enroll in a four-year college program to learn the fundamentals of computer science and coding.
All you have to do is get this book
Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now
Would you like to become an expert in coding and programming?
Are you looking for a way to learn coding on your own?
Well, this book is everything you've been looking for It will teach you everything there is about Python coding, programming, artificial intelligence, and machine learning.
If you want to learn how to code, taking your first steps into the coding universe might seem like an intimidating and daunting task.
Here's the big secret: there are plenty of resources you can use to give yourself all the help you need, teach yourself new techniques, and make this learning process fun and exciting And this guide is precisely one of those resources that will help you out
Here is what this book contains:
-Everything there is to know about machine learning and artificial intelligence
-Extensive training in data science
-A beginner's guide to learning Python without breaking a sweat
-The benefits of learning Python
-Practical exercises that help you check your progress
The best way to learn to code involves you getting up-close-and-personal with a real book that you can follow along from beginning to end. This will give you a more comprehensive introduction to coding than jumping around from topic to topic on a website.
Not only will this book teach you how to code, but it will also test your new skills The practical exercises section will show you more about functions and modules and also how to make your program interactive.
Without applying your coding skills in a few projects, you won't even be considered a real coder. So, start learning and practicing
You don't have to enroll in a four-year college program to learn the fundamentals of computer science and coding.
All you have to do is get this book
Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
-The fundamental skills that will bootstrap you as a programmer
-Everything you should know about coding, programming, machine learning, and data analysis
-How to become an expert in using Python
-Make your program come to life with practical exercises
-How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
Python is a very popular language and, if you're just starting with coding, you should make sure that it is the first language to learn. But how do you start learning this language?
The first step in learning any programming language is making sure that you understand how to learn it.
The best way to learn Python is to understand the big picture of all that you need to learn before you dive in and start learning.
Learning Python is easy, even if you've never learned about coding before. It offers excellent readability and simple-to-learn syntax, which helps beginners learn this programming language in no time
This book will not only teach you everything you should know about Python, but it will also give you a greater insight into coding, programming, machine learning, and data analysis.
Here is what this book will teach you:
-The fundamental skills that will bootstrap you as a programmer
-Everything you should know about coding, programming, machine learning, and data analysis
-How to become an expert in using Python
-Make your program come to life with practical exercises
-How to start profiting from your coding and programming skills
This guide won't only give you theoretical knowledge about Python and coding. It also contains so many small exercises that will help you start your journey of building a program. And, it is this journey that will teach you the most.
Yes, you can learn a lot from reading about Python. But, the best way to learn is by using Python to build something. While you do that, you are quite likely to come across a few obstacles. But don't worry This book will help you conquer each and every one of them.
Ready to become an expert in coding and programming? Grab this book and start your Python journey
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.
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 REALLY WANT TO DISCOVER THE SECRETS BEHIND PYTHON DATA SCINCE, THEN KEEP READING...
Data analysis plays an important role in many aspects of life today. From the moment you wake up, you interact with data at different levels. A lot of important decisions are made based on data analytics. Companies need data to help them meet many of their goals. As the population of the world keeps growing, its customer base keeps expanding. In light of this, they must find ways of keeping their customers happy while at the same time meeting their business goals.
Given the nature of competition in the business world, it is not easy to keep customers happy. Competitors keep preying on each other's customers, and those who win have another challenge ahead - how to maintain the customers lest they slide back to their former business partners. This is one area where Data Analysis comes in handy.
This book covers:
- What is Data Analysis
- Python Crash Course
- Data Munging
- Why Data Preprocessing Is Important
- What is Data Wrangling?
- Inheritances to Clean Up the Code
- The Different Types of Data We Can Work With
- The Importance of Data Visualization
- Indexing and selecting arrays
- Common Debugging Tools
- Neural Network and What to Use for?
And much more.
Ready to get started? Click "Buy Now"
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