Daniel Burkett has narrated 3 audiobooks on Listento.it by 2 authors. The most-rated is Python Programming.
Python Crash Course
Summary
If you've been thinking about digging into programming, Python Crash Course will get you writing real programs fast. Why wait any longer? Start your engines and code! Are you interested in learning more about programming and coding? Do you need a guide that helps you with the basics? This audiobook will help you a lot. There are a lot of benefits that come with the Python coding language, and this is one of the reasons why so many people like to learn how to code with this language compared to other options. First, this coding language was designed with the beginner in mind. There are a lot of coding languages that are hard to learn, and only more advanced programmers - those who have spent years in this kind of field - can learn how to use them. This audiobook includes: What Is Python And Why Should You Learn It Variables And Operators Learn About Simple Data Types Conditional Statements In Python Working with Functions Object-Oriented Programming Working with Files Python from Scratch How Coding Works Python Libraries Lists, Tuples, and Dictionaries And many more... If you are a beginner who is just getting started with doing data analysis or any kind of Python programming, at all, then this large community is going to be one of the best resources for you to use. It will help you to get all of your questions answered and ensures you are going to be able to finish your project, even if you get stuck on it for a bit. Want to know more about this book? Buy now.
©2020 Adrienne Hawkes Matthes (P)2020 Adrienne H. Matthes
Coding with Python: The Essential Course to Master in a Smart Way Software Concepts, Tools, and Algorithms for Practical Programming and Deep Machine Learning to Build Artificial Intelligent Systems
Summary
Do you want to learn the basics concepts of Python coding? Do you want to know more about Python and make things work in no time? Then this book is for you! The first thing we need to look at here is the keywords. These seem pretty straightforward, but it is so important to understand that they tell the compiler how it needs to act and behave with the projects that you are doing. These keywords are ones that are reserved to tell the compiler what it needs to do. Since they are reserved, the computer programmer needs to remember to use them properly so that the compiler can take that command and get things done. You need only to use them in the specified parts of the code, or it leads to error messages and other problems. If you properly use them, the compiler will be given command of what you want it to do, and it can then execute the code in the right way. These words are essential to the whole code and learning what they are is going to make code writing more comfortable as well. You will be able to notice a lot of these keywords as we progress through this guidebook and write some of our codes. Chapters include: "Python Programming Basics" "What Is Scikit-Learn, and Why Should I Learn About It?" "Essential Libraries and Toolsin Python" "Modules" "Machine Learning Datasets" "Training Simple Machine Learning Algorithms for Classification" "Unsupervised Machine Learning" "Learning In Artificial Neural Networks" And more Learning to code can seem complicated, but it is not! Let this book show you how to do it! Want to know more? Buy now!
©2020 Adrienne Matthes Tacke (P)2020 Adrienne Matthes Tacke
Python Programming
Summary
This book is the perfect guide for people who want to learn about Phyton programming, in particular its application for data science. There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science. This guide book contains: What Is Data Science And Why Should You Learn It Using Python Can I Use Probability And Statistics to Help Me with Machine Learning? Work with Numpy Work with Pandas Learning About Functions Identifying the Nearest Neighbors Learning About Functions Deep Learning Vs Machine Learning Applications of Big Data Analysis And many more! Loops are going to be next on the list of topics we need to explore when we are working with Python. These are going to be a great way to clean up some of the code that you are working on so that you can add in a ton of information and processing in the code, without having to go through the process of writing out all those lines of code. For example, if you would like a program that would count out all of the numbers that go from one to one hundred, you would not want to write out that many lines of code along the way. Or if you would like to create a program for doing a multiplication table, this would take forever as well. But doing a loop can help to get all of this done in just a few lines of code, saving you a lot of time and code writing in the process. Want to know more about this book? Buy now! This book is the perfect guide for people who want to learn about Phyton programming, in particular its application for data science. There are so many great ways that you can use the data you have been collecting for some time now, and being able to complete the process of data visualization will ensure that you get it all done, when you are ready to get started with Python data science. This guide book contains: What Is Data Science and Why Should You Learn It Using Python Can I Use Probability and Statistics To Help Me With Machine Learning? Work with Numpy Work with Pandas Learning About Functions Identifying the Nearest Neighbors Learning About Functions Deep Learning Vs Machine Learning Applications of Big Data Analysis And many more! Loops are going to be next on the list of topics we need to explore when we are working with Python. These are going to be a great way to clean up some of the code that you are working on so that you can add in a ton of information and processing in the code, without having to go through the process of writing out all those lines of code. For example, if you would like a program that would count out all of the numbers that go from one to one hundred, you would not want to write out that many lines of code along the way. Or if you would like to create a program for doing a multiplication table, this would take forever as well. But doing a loop can help to get all of this done in just a few lines of code, saving you a lot of time and code writing in the process. Want to know more about this book? Buy now!
©2020 Adrienne Hawkes Matthes & John Tacke (P)2020 Adrienne Hawkes Matthes & John Tacke