Matthew Hodgson has narrated 3 audiobooks on Listento.it by 4 authors. The most-rated is Python Programming.
How to Grow Psilocybin Mushrooms
Summary
An easy, step-by-step beginners guide for growing indoor mushrooms. A very detailed summary that will turn an amateur grower into a professional in one listen. Including up-to-date tricks and techniques that you won't find anywhere else. Covering all aspects of the process, including gathering essential items, grow room set-up, inoculation, incubation, colonization, fruiting, identifying mushrooms, picking and drying finished product, grain-to-grain transfer, and much more....
©2020 Carl E Miller (P)2021 Carl E Miller
Python Data Science
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!
©2020 Adrienne Hawkes Matthes & John Tacke (P)2021 Adrienne Hawkes Matthes & John 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