Описание: ♦55% discount for bookstores Now at $34,95 instead of 44,95 ♦ Are you interested in Python? If yes, then this is the right book for you Your customers will never stop using this amazing book
Python was created in 1990 by Guido van Rossu, and is a general-purpose, high-level programming language. It has become extremely popular over the past decade, thanks to its intuitive nature, flexibility, and versatility. Python can be used on a wide variety of operating systems, and its clean, readable code style makes it relatively beginner-friendly, while not as fast as other languages, such as C++ or JAVA, Python code is often much shorter and simpler than other languages.
Python also supports several packages and modules created by other developers to make the development of Python applications quicker and easier.
There are hundreds of different programming languages out there in the world, with Wikipedia listing over 700 notable languages. Given how many languages you could potentially learn, why learn Python?
Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. A huge selling point of Python is the cleanliness and readability of its syntax and structure. Commands in Python can often be carried out using simple English keywords, which makes the language much more intuitive than many other languages. Python is also quite versatile in the sense that it supports both structured programming and object-oriented programming approaches. Python even allows the use of certain aspects of functional programming.
This Book Covers:
Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types
And much more
Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data.
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If you are a student or a professional looking for more technical skills, or if you are simply curious about the most up-to-date data analysis techniques and their powerful applications, then this is definitely the book for you.
Learning all of the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all of the knowledge you need into a clear and beginner-friendly introduction, with practical examples, detailed explanations, and tips and tricks from his experience.
Through his revolutionary and systematic approach, you can learn techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications, regardless of your previous experience.
Here's just a tiny fraction of what you will discover:
What data science is, and why it has become fundamental in hundreds of business and technological applications
The basics of Python programming
Essential Python libraries such as NumPy, Pandas, and Matplotlib
All of the most effective computational methods for data analysis
Data visualization tools and techniques
How to build statistical and machine learning models (even if you are brand new to programming)
The future of Artificial Intelligence
How to build neural networks with Python
Step-by-step exercises, practical examples, and tips and tricks
Are you ready to develop a successful career in the growing industry of data science?
Описание: Are you interested in Python? If yes, then this is the right book for you
Python was created in 1990 by Guido van Rossu, and is a general-purpose, high-level programming language. It has become extremely popular over the past decade, thanks to its intuitive nature, flexibility, and versatility. Python can be used on a wide variety of operating systems, and its clean, readable code style makes it relatively beginner-friendly, while not as fast as other languages, such as C++ or JAVA, Python code is often much shorter and simpler than other languages.
Python also supports several packages and modules created by other developers to make the development of Python applications quicker and easier.
There are hundreds of different programming languages out there in the world, with Wikipedia listing over 700 notable languages. Given how many languages you could potentially learn, why learn Python?
Python has seen an explosion in popularity in recent years, driven by several aspects that make it an incredibly versatile and intuitive language. A huge selling point of Python is the cleanliness and readability of its syntax and structure. Commands in Python can often be carried out using simple English keywords, which makes the language much more intuitive than many other languages. Python is also quite versatile in the sense that it supports both structured programming and object-oriented programming approaches. Python even allows the use of certain aspects of functional programming.
This Book Covers:
Understanding Python
Why the name "Python"?
Python Glossary
Python Installation
Python Data Types
And much more
Despite its simplicity, Python is also sturdy and robust enough to carry out complex scientific and mathematical tasks. Python has been designed with features that drastically simplify the visualization and analysis of data.
Описание: Do you want to learn the basics of Python and its machine?If yes, then this is the right book for you
Python is among the top programming languages that universities and industries prefer to teach and use, respectively. The charm of Python is hidden in the fact that it has extensive applications in a wide range of fields. Most people hate Python because of its use in building artificial intelligence models. This fast-paced, thorough introduction to programming with Python will have you writing programs, solving problems, and making things that work in no time.
Python is very easy to read and learn. You can easily read source codes for different programs that are created by other programmers. But, it needs, like all the other programming languages, dedicated practice. You will have to get to the Python editor and practice all codes. In this book you'll learn basic programming concepts, such as variables, lists, classes, and loops, and practice writing clean code with exercises for each topic. You'll also learn how to make your programs interactive and test your code safely before adding it to a project. At the end you'll put your new knowledge into practice.
This book covers the following topics:
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
If you've been thinking about digging into programming, Python Crash Course will get you writing real programs fast.This book will teach you how to develop basic programming structures, including loops. Then you will move on to expressions, variables, and operators. You will also explore unique data structures, such as tuples. You will also learn how to create various python programs using loops and control statements. Why wait any longer?
Описание: Are you interested in seeing what deep learning, machine learning, and data analysis are all about and how they are going to be able to help you to get more out of your business and make good decisions about the future of your company? Would you like to see how all of this is going to come together and make you more profitable than ever?
This guidebook is going to be the perfect companion and tool for your needs. You will find that we will talk about all of the topics that you need to know when it comes to working with data analysis and data science in no time. And it will not take long before we actually use some of these projects and processes on our own as well.
Many companies want to find ways to get ahead of their competition and provide the best options to their customers all at the same time. And they want to make sure that they are making some of the best decisions that you need in order to get ahead in your competition.
Some of the highlights of the book include:
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.
Deep learning, machine learning, and data analysis are important parts of many business today. These topics and processes are going to help us to really explore the industry, the customers, the competition and more that are going to come out when we want to help our business succeed and when we want to figure out what steps we need to take in order to get ahead of the competition.
Are you ready to want to master this?
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