Python Programming: This Book Includes: Python for Data Analysis and Science with Big Data Analysis, Statistics and Machine Learning, Computer Science Academy
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Автор: Computer Language Academy Название: Python for Data Analysis ISBN: 1801329966 ISBN-13(EAN): 9781801329965 Издательство: Неизвестно Рейтинг: Цена: 2757.00 р. Наличие на складе: Нет в наличии.
Описание:
Are you looking for a good and reliable resource for beginners to Python data analysis? Look no further, Python for Data Analysis is the right guide for you
This book is intended as a guide for a Python beginner.
All the relevant information included is well-researched and updated, as well.
This book covers various subjects, such as manipulating, processing, cleaning, as well as crunching relevant data in Python. It is also a contemporary, practical introduction to technical and logical computing in Python, made for data-intensive uses. Python for Data Analysis is a book that tackles parts of the Python language as well as libraries you will need to address a broad set of information analysis issues efficiently. This book isn't an exposition on diagnostic and logical techniques utilizing Python as language implementation.
Written by an expert and reliable contributor, this handbook is filled with practical and sensible case studies. This is perfect for an analyst who is new to Python as well as Python programmers who are new to scientific computing.
This book deals with:
How to load, clean, transform, merge and reshape data with Phyton
How to make scatter plots
Creating interactive or static visualization
How to use the group to dice, slice, review and sum up datasets
Measuring statistic by point in time
Addressing issues in social sciences, web analytics, economics, and finance
Are you interested in easily learning Python without a complex process? Are you a beginner, and do you want to start programming in no time? If yes, Python Crash Course is the right book for you
This book is intended for beginners.
As you read and practice with Python Crash Course, you will understand how to utilize powerful Python tools as well as libraries to make 2D games that respond to mouse clicks and presses, and which grow harder as the game goes on. You will also learn how to work with data to come up with interactive visualizations, make and customize simple web applications, and use them online with care and safety.
You will also discover how to deal with the errors and mistakes it entails. You will be able to address your programming issues.
This guide doesn't have fluff or unnecessary details, which can scare or confuse beginners. This is a problem-solving book. It wants to be a thorough and fast-paced introduction to Python programming that will help you to solve issues, write programs, and create things that function fast and in no time.
This book covers:
Basic programming concepts
How to make interactive programs
How to try the code before putting it into a project
Data visualization
Project ideas
Exercises
...And much more
If you plan to dig into programming, then this crash course is ideal for you. It will help in speeding up your learning in writing programs.
Описание: Have you always wanted to learn computer programming but you're worried it will take too long? Would you like to automate something simple with your PC but you don't know how to do it? Or maybe you know other programming languages and are interested in learning Python quickly?
As a beginner you might think that programming is difficult, learning a coding language can take months, and the possibility to give up before mastering it could be high... So, if you have a project to develop you could think on hiring a professional programmer to shorten the time. This may seem like a good idea but it is certainly very expensive. Otherwise you could spend a long time pursuing tutorials online only to find out you don't really understand any of the concepts they covered.
Here's the deal...The best solution is to follow a complete programming manual with hands-on projects and practical exercises.
What you will find inside:
✓ Why Python is considered the best programming language for a beginner
✓ The most common mistakes to avoid when you start programming
✓ Step-by-step instructions to install the Python coding environment on your PC
✓ BOOK 1: PYTHON PROGRAMMING
- The 7 built-in functions to make your life easier while coding a software program
- The program you need to develop your first own application
✓ BOOK 2: PYTHON MACHINE LEARNING
- The algorithms that will make your life easier
- The 2 libraries you need implementing to develop the desired ML models
✓ Some projects to write Python codes in less than a week
✓ Quizzes at the end of every chapter to review immediately what you've learned
Why is this book different?
Computer Programming Academy structured these guides as a course with seven chapters for seven days and studied special exercises for each section to apply what you have learned.This protocol, tested on both total beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result? The content of the course was learned faster and remembered longer respect the average.
Even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer this book is perfect for you.
Now's the best time to begin learning Python... so scroll up to the top of the page, click the "BUY NOW" button and get started
Описание: Have you always wanted to learn computer programming but you're worried it will take too long? Would you like to automate something simple with your PC but you don't know how to do it? Or maybe you know other programming languages and are interested in learning Python quickly?
As a beginner you might think that programming is difficult and the possibility to give up before mastering it could be high... So, if you have a project to develop you could think on hiring a programmer to shorten the time. This may seem like a good idea but it is certainly very expensive. Otherwise you could waste your time pursuing tutorials online.
The best solution is to follow a complete programming manual with hands-on projects and practical exercises.
What you will find inside and a quick overview of the main topics:
✓ Why Python is considered the best programming language for a beginner
✓ The most common mistakes to avoid when you start programming
✓ BOOK 1: PYTHON PROGRAMMING
- The 7 built-in functions to make your life easier while coding a software program
- The program you need to develop your first own application
✓ BOOK 2: PYTHON MACHINE LEARNING
- The algorithms that will make your life easier
- The 2 libraries you need implementing to develop the desired ML models
✓ BOOK 3: PYTHON DATA SCIENCE
- 3 actions required to gain insights from big data
- A simple method to implement predictive analytics
✓ Some projects to write Python codes in less than a week
✓ Quizzes at the end of every chapter to review immediately what you've learned
Why is this book different?
Computer Programming Academy structured these guides as a course with seven chapters for seven days with special exercises for each section.This protocol, tested on both beginners and people who were already familiar with coding, takes advantage of the principle of diving, concentrating learning in one week. The result? The content of the course was learned faster and remembered longer.
Even if you're completely new to programming in 2020 or you are just looking to widen your skills as programmer this book is perfect for you.
Now's the best time to begin learning Python... click the "BUY NOW" button and get started
Are you looking to master the fundamental concepts of Data Science?
Do you want to learn the Python programming language?
Do you want to develop a solid understanding of all the latest innovative technologies?
This is the book for you
This book is essential to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data.
This programming language 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:
- 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, which has evolved as the gold standard for machine learning and data analysis.
- Deep dive into the Matplotlib library, which offers visualization tools and science computing modules supported by SciPy and 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 to gain an understanding of customer interactions with their products or services based on customer's feelings or emotions shared on the social media platforms.
Every concept in this book is explained with examples and exercises so you can learn and test your learning at the same time.
Remember, knowledge is power
Your Python programming skillset will improve drastically, and you will be poised to develop your very own machine learning model in no time.
Inside this book you`ll find all the basic notions to start with Python and all the concepts to develop programs, web app and games to run on your PC. With our proven strategies you will write efficient Python codes in less than a week!
Inside this book you will find all the basic notions to start with Python and all the programming concepts to implement predictive analytics. With our proven strategies you will write efficient Python codes in less than a week!
Inside this book you will find all the basic notions to start with Python and all the programming concepts to build machine learning models. With our proven strategies you will write efficient Python codes in less than a week!
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