Jason Cannon has 7 audiobooks on Listento.it, narrated by 3 narrators. The most-rated is Python for Data Science.
Python Programming for Beginners
Summary
It is no surprise to anyone that, currently, the technological and computer processes are advancing and progressing at an extremely advanced speed. Every day, we see new applications, programs, electronics, and other products that make a lot easier the actions we do every day. For the creation of each of these things, the union and coexistence of many factors are required. For a vehicle to work properly, it must have a computer in charge of all the processes. Apart from the electricity and electronics of the vehicle, we need the programming. In this book, you will find extremely important information about the beginnings of programming in general and to learn how to program in the programming language Python from zero. Throughout the chapters of this book, you will find several examples of programs that will help you understand the programming process. In addition to that, when you finish this book, you will have extensive knowledge in the following areas: Data Types: Integers, Floats, Complex, Booleans, Strings, and others; The meaning of variable, how to declare a variable, and types of variables Basic Operators and Statements: What are the basic operators and why they are needed; the different statements with their respective diagrams Loops and Control Statements: What is a loop and how to use it; nested loops, for, range, while, break, continue, and pass Exceptions: What is an exception and its benefits; the use of try and except Files Management: What is it and how to use it; handling .xslx, .pdf, and .txt files MySQL: What is a database and how to use it; short introduction to MySQL language, Python, and MySQL Programming and Classes-Objects: What is OOP (Object-Oriented Programming) and the benefits of this type of programming; what is a class and a method and how to create them Why should you buy a book like this? Because with everything explained in this book, you will be able to make programs, applications, and even products that can compete in the market and thus generate an extra income, in addition to being able to grow as a person by learning something new. You will probably find many books in this style in the market, and you have a lot of doubts about which one is the best or which one you should buy. However, this is, if not the best, one of them. Here, you will even find a step-by-step guide on how to install Python on your computer, whatever your operating system is, because the installation changes depending on whether you use Windows, macOS, or Linux. So, don't hesitate!! Buy this book right now and enjoy all the information, examples, and tips you will find written here, and become a great Python programmer.
©2019 Jason Cannon (P)2020 Jason Cannon
Python for Data Analysis
Summary
Python for Data Analysis will explore many areas of Python and how different functions work and how it all correlates to Python. In chapter one, we begin by giving you an overview of the different Python libraries. We also give a brief description, explain why they are popular, and what their functions are. In chapter two, we discuss the Panda library and give a rundown of its basics and why it is one of the more popular libraries and most commonly used today. In chapter three, we dive into the retrieving, processing, and storing of the data that is utilized in Python. Chapter four explores data visualizations and the use of charts and graphs to assist in visualizing the data that is generated through Python. With chapter five, you will become familiar with working with the databases that Python supports. A few examples of these include SQL, API, and SQLite. Chapter six will cover predictive analytics and machine learning. It will describe the way machine learning and predictive analytics plays a role in Python and how Python can help to advance machine learning. Finally, in chapter seven, we see Python’s involvement with time series and signal processing. As the chapters will show you, Python for Data Analysis is a great way to get a huge amount of information in a hurry. So no matter if you are just beginning in Python or need to learn it in a hurry, Python for Data Analysis is sure to provide you with what you need.
©2020 Jason Cannon (P)2020 Jason Cannon
Command Line Kung Fu
Summary
Become a Linux Ninja with Command Line Kung Fu! Do you think you have to lock yourself in a basement reading cryptic manual pages for months on end in order to have ninja like command line skills? In reality, if you had someone share their most powerful command line tips, tricks, and patterns you'd save yourself a lot of time and frustration. What if you could look over the shoulder of a good friend that just happened to be a command line guru? What if they not only showed you the commands they were using, but why they were using them and exactly how they worked? And what if that friend took the time to write all of it down so you can refer to it whenever you liked? Well, a friend did just that. Command Line Kung Fu is packed with dozens of tips and over 100 practical real-world examples. You won't find theoretical examples in this book. The examples demonstrate how to solve actual problems and accomplish worthwhile goals. The tactics are easy to find, too. Each chapter covers a specific topic and groups related tips and examples together. For example, if you need help extracting text from a file look in the "Text Processing and Manipulation" chapter. Also, a comprehensive index is included. If you want to find every example where a given command is used - even if it's not the main subject of the tip - look in the index. It will list every single place in the book where that command appears. Here is just some of what you will learn by reading Command Line Kung Fu: How to quickly and easily repeat commands in your shell history Shortcuts for grabbing specific words from your shell history to use in your current command How to save a copy of your command line session for later reference How to strip out blank lines and comments from files How to control colorized text when uses pipes and pagers Ways to transform text: from changing case to substituting characters and more
©2014 Deep Thought Press (P)2015 Deep Thought Press
Learn Linux in 5 Days
Summary
If you want to learn how to use Linux and level up your career but are pressed for time, listen on. As the founder of the Linux Training Academy and an instructor of several courses, I've had the good fortune of helping thousands of people hone their Linux skills. Interacting with so many people who are just getting started with the Linux operating system has given me invaluable insight into the particular struggles and challenges people face at this stage. One of the biggest challenges for people interested in learning the ins and outs of Linux is simply a lack of time. When you are working with a limited and extremely valuable resource, you want to make sure you make the most of it. The next biggest challenge for Linux newcomers is knowing where to start. There is so much information available that deciding what to focus your attention on first is a big enough hurdle to keep many people from even starting. What's worse is starting down the path of learning only to discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers. That's why I've written this book. Not only have I condensed the most important material into five sections, each designed to be consumed in a day, but I've also structured the content in a logical and systematic manner. This way you'll be sure to make the most out of your time by learning the foundational aspects of Linux first and then building upon that foundation each day. In Learn Linux in 5 Days, you will learn the most important concepts and commands and be guided step by step through several practical and real-world examples. As new concepts, commands, or jargon are encountered, they are explained in plain language, making it easy to understand.
©2015 Deep Thought Press (P)2015 Deep Thought Press
Python Programming for Beginners
Summary
If you want to learn how to program in Python, but don't know where to start read on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers. Python Programming for Beginners doesn't make any assumptions about your background or knowledge of Python or computer programming. You need no prior knowledge to benefit from this book. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by listening to Python Programming for Beginners: When to use Python 2 and when to use Python 3. How to install Python on Windows, Mac, and Linux. Screenshots included. How to prepare your computer for programming in Python. The various ways to run a Python program on Windows, Mac, and Linux. Suggested text editors and integrated development environments to use when coding in Python. How to work with various data types including strings, lists, tuples, dictionaries, booleans, and more. What variables are and when to use them. How to perform mathematical operations using Python. How to capture input from a user. Ways to control the flow of your programs. The importance of white space in Python. How to organize your Python programs - Learn what goes where. What modules are, when you should use them, and how to create your own. How to define
©2014 Jason Cannon (P)2015 Jason Cannon
Linux for Beginners
Summary
If you want to learn how to use Linux, but don't know where to start, listen on. Knowing where to start when learning a new skill can be a challenge, especially when the topic seems so vast. There can be so much information available that you can't even decide where to start. Or worse, you start down the path of learning and quickly discover too many concepts, commands, and nuances that aren't explained. This kind of experience is frustrating and leaves you with more questions than answers. Linux for Beginners doesn't make any assumptions about your background or knowledge of Linux. You need no prior knowledge to benefit from this audiobook. You will be guided step by step using a logical and systematic approach. As new concepts, commands, or jargon are encountered, they are explained in plain language, making it easy for anyone to understand. Here is what you will learn by listening to Linux for Beginners: How to get access to a Linux server if you don't already What a Linux distribution is and which one to choose What software is needed to connect to Linux from Mac and Windows computers What SSH is and how to use it, including creating and using SSH keys The file system layout of Linux systems and where to find programs, configurations, and documentation The basic Linux commands you'll use most often Creating, renaming, moving, and deleting directories Listing, reading, creating, editing, copying, and deleting files Exactly how permissions work and how to decipher the most cryptic Linux permissions with ease How to use the nano, vi, and emacs editors Two methods to search for files and directories What you learn in Linux for Beginners applies to any Linux environment including Ubuntu, Debian, Linux Mint, RedHat, Fedora, OpenSUSE, Slackware, and more.
©2014 Jason Cannon (P)2014 Jason Cannon
Python for Data Science
Summary
If you are aspiring to be one of the recognized programmers using the Python programming language and to understand more on data management and analysis, then this is your audiobook. The chapters in this audiobook highlight some of the crucial statements in Python programming as well as the fundamental basics before going ahead and creating your first program. With computer programming becoming the thing of the future, most computer users wish to understand different values, codes, and execution of these characters. As such, this audiobook is the best choice for you. It does not matter how deep you are with programming or if you are venturing into Python programming. This audiobook comprises of chapters that provide a systematic guide on how to meander through the basics of Python programming and reach the depths of punching in your first codes. That said, the first chapter describes the basics, which are an introductory part of understanding Python and learning about its incorporation, versions, and acquiring it on your device. With different operating systems available today, downloading, installation, and updating the software may become challenging, but the audiobook provides a reliable tutorial to achieve this. Similarly, the next chapter highlights variables typically used in Python to facilitate its operations. Python, like most programming languages, utilizes different variables to run its functions efficiently and obtain the required information. As one end, this chapter begins with an introduction to Python variables and goes ahead detailing the different types essential for the package. At one point, the section allows you to understand different other terms related to Python variables and creates a relation between the two for a more in-depth understanding of how these operations work. With the need to store data, codes, and values essential for running programs, Python, therefore, depends on variables for naming and storage of these items. In the last chapter of this audiobook, we venture into computer data management and analysis, which also plays a vital role when it comes to managing data. Well-maintained data suggests that users have a straightforward manner of creating, recording, accessing, retrieving, and making changes where need be. As such, this audiobook also offers vital elements in computer data management as well as a focusing on databases, which are the most common data management tools today. Inside, you will find: Definition and more in-depth understanding of Python programming language in computing The history, features, versions, and application of Python programs Different ways of downloading and installing Python on various operating systems Python variables including the definition of critical terms and the naming of different variables Types of variables and data variables in Python
©2020 Jason Cannon (P)2020 Jason Cannon