Автор: Tebeka, Miki Название: Python brain teasers ISBN: 1680509004 ISBN-13(EAN): 9781680509007 Издательство: Wiley Рейтинг: Цена: 2374.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: 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.
Описание: Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You`ll explore task automation and understand essential math concepts and algorithms along with integrations for faster computation in scientific computing.
Автор: Anthony Femi Название: Mastering Pandas ISBN: 1783981962 ISBN-13(EAN): 9781783981960 Издательство: Неизвестно Рейтинг: Цена: 6896.00 р. Наличие на складе: Нет в наличии.
Описание: Master the Python Programming Language and Data Analysis With This Comprehensive Guide
If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading.
This book will teach you how to achieve all that with the help of data analysis and data science.
Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. 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 book is not only to learn about data analysis but to go from this theoretical to practical knowledge and application. In other words, you'll be able to complete your own analysis, implement its methods in your business, and master the Python Programming Language
Here's what you'll learn with this book
-The importance of data analysis and why every successful business and industry are using it
-How to process data with tools and techniques used by data scientists
-The concepts behind Python programming
-How to use the "data munging" process
-How to use Python libraries such as Pandas and NumPy for data analysis
-The importance of data visualization
-How to create the right analytical algorithm for predicting the market trends
-How to write codes, and create programs and databases
-And much more
Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, and the most important real-world applications.
If you want to modernize your company and your skills, make the most of your data and become a competitive force on the market,
Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now
Описание: Unlock the programming skills you need to prepare for a lucrative career in Data Science with this comprehensive introduction to Python programming for data analytics
Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics?
If you answered yes to any of the questions above, then keep reading...
Data analysis has become a huge industry with tons of career potential and will remain relevant far into the foreseeable future.
With the exponential growth and explosion of new data and the focus on using data to improve customer experiences and carry out research, data analysts will be needed to process and make sense of large amounts of information, with Python being the language of choice because of its versatility.
In this guide, you're going to be shown everything you need to break into the world of Data Analysis with Python. Filled with tutorials for powerful libraries and practical, hands-on exercises, you're going to learn how to aggregate, munge, analyze and visualize data in Python.
Here's a sample of what you're going to discover in Python Data Analytics
Why Python is the perfect language to learn if you want to break into Big Data and data analytics
Core statistical models and computation methods you need to know about as a budding data analyst
How to master the CSV library for reading, writing and handling tabular data
Using the Xlrd library to extract data from Microsoft Excel files
How to convert text to speech using the powerful Win32.com library
How to use the NumPy library to carry out fundamental and basic scientific and technical computing
How to use the SciPy library to carry out advanced scientific and highly technical computing
Surefire ways to manipulate the easy-to-use data structures of the Pandas framework for high-performance data analysis
How to plot complex data, create figures and visualize data using the Python Matplotlib library
...and tons more
If you're completely new to programming and have never written a single line of code, but want to get started, this guide is perfect for as a crash guide to getting up to speed with programming in general.
Whether you're a programmer looking to switch into an exciting new field with lots of potential for the future, or a regular data analyst looking to acquire the skills needed to remain relevant in a fast-changing world, this guide will teach you how to master powerful libraries used in the real-world by experienced data scientists.
Автор: Hauck Trent Название: Instant Data Intensive Apps with Pandas How-to ISBN: 1782165584 ISBN-13(EAN): 9781782165583 Издательство: Неизвестно Рейтинг: Цена: 2757.00 р. Наличие на складе: Нет в наличии.
Описание: If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading.
Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.
Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. 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.
With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
Pandas, Jupyter and PyTorch
The 7 Python libraries that make Python one of the best choices for Data Analysis
Neural Network
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Some of the main industries that are using data to improve their business with 14 real-world applications
And Much More
While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics.
Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, 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
Автор: Garg Harish Название: Mastering Exploratory Analysis with pandas ISBN: 1789619637 ISBN-13(EAN): 9781789619638 Издательство: Неизвестно Рейтинг: Цена: 3447.00 р. Наличие на складе: Нет в наличии.
Описание: Exploratory data analysis exploits the visual properties of the datasets that are commonly used by data scientists. It helps you build custom data pipelines to address data analysis tasks. This book uses pandas, the most popular Python library for data analysis, and helps you build end-to-end exploratory data-analysis solutions
Описание: Journey into the Land of the Zeks and Back is a vivid, first-person account of life in the Soviet Gulag, a work that has never appeared before in English. It was one of the earliest published accounts of the Soviet camp system when it was published in France in 1949 and became an established classic in the Russian-speaking world, influential in the formation of the genre of Gulag memoirs.
Описание: If you want to learn more about Data Analysis or how to master it with the Python Programming Language, then keep reading.
Everyone talks about data today. You have probably come across the term "data" more times than you can remember in one day. Data as a concept is so wide. One thing that is true about data is that it can be used to tell a story. The story could be anything from explaining an event to predicting the future.
Data is the future. Businesses, governments, organizations, criminals-everyone needs data for some reason. Entities are investing in different data approaches to help them understand their current situation, and use it to prepare for the unknown. 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.
With Python for Data Analysis you will learn about the main steps that are needed to correctly implement Data Analysis and the procedures to help you extract the right insights from the right data. Some of the topics that we will discuss inside include:
What Data Analysis is all about and why businesses are investing in this sector
The 5 steps of a Data Analysis
Pandas, Jupyter and PyTorch
The 7 Python libraries that make Python one of the best choices for Data Analysis
Neural Network
How Data Visualization and Matplotlib can help you to understand the data you are working with.
Some of the main industries that are using data to improve their business with 14 real-world applications
And Much More
While most books focus on how to implement advanced predictive models, this book takes the time to explain the basic concepts and all the necessary steps to correctly implement Data Analysis, including Data Visualization and providing practical examples and simple coding scripts. Don't miss the opportunity to learn more about these topics.
Even if you never used Data Analysis, learning it is easier than it looks, you just need the right guidance. This practical guide provides all the knowledge you need in a simple and practical way. Regardless of your previous experience, you will learn the steps of Data Analysis, how to implement them in Python, 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
If you want to learn how to use python easily and quickly, then keep reading.
Are you looking for a simple and efficient method that you can utilize that makes it easier than ever to go through all of that data you have been storing? Would you like to make some smart decisions, without all of the risks, to ensure that you are actually able to take control and beat out the competition in no time? How would it feel to be able to put all of this together and get the best results in the process?
If all of these sound like they are the answers to your prayers, then working with a data analysis may be the best option for you. With data analysis, we are able to use a variety of algorithms, with the help of the Python coding language and machine learning, in order to take all of our data and learn the insights and predictions that are found inside. And this guidebook is going to show you the exact steps that you can take in order to get started with this process.
There are so many different companies and industries who are relying on the idea of data analysis, and there really are so many ways that we are able to benefit from using this. And this guidebook will discuss all of the different parts of it. Some of the topics that we are going to explore when it comes to data analysis, machine learning, and the Python language in this guidebook include:
An in-depth look at what the data analysis is all about and why it is so important.
The benefits of the data analysis and why a lot of companies want to jump right now.
Why the Python language is a great addition to using data analysis, and some of the basics of coding in this language if you are a beginner.
A look at some of the different options that we can choose when picking out the Python libraries that work with data analysis, including an in-depth look at Pandas and NumPy.
How to clean and organize our data for the analysis.
How to train and test our algorithms to make sure they are ready to work.
Understanding what machine learning is all about and why we would want to use this to enhance our algorithms and make our data analysis more effective.
How to present our data in an easy to understand and efficient manner that can ensure we make the right decisions for our needs.
There are a lot of parts that come together with data analysis. It is a simple idea to understand, but we have to go through a number of steps and techniques in order to make it work for our needs and to use it to help us to reduce risks and know the best steps to take when making decisions. When you are ready to use data analysis and the Python coding language to get it to work, make sure to check out this guidebook to help you get started.
With this book learning to use python becomes easy and fast.
Buy this book right now
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