In this Python Tutorial, we will be learning how to install Anaconda by Continuum Analytics. Anaconda is a data science platform that comes with a lot of useful features right out of the box. Many people find that installing Python through Anaconda is much easier than doing so manually. Also, we will look at Conda. Conda is Continuum’s package, dependency and environment manager. Let’s get started…
In this Python Tutorial, we will be learning how to use the datetime module. The datetime module is important to understand, because you will be working with dates and times in just about every application you write. We will look at how to work with dates, times, datetimes, timedeltas, and timezones. Let’s get started…
In this Python Tutorial, we will be going over the some more advanced logging concepts. These will include loggers, handlers, and formatters. Let’s get started…
In this Python Tutorial, we will be going over the basics of logging. We will learn how to switch out our print statements for logs, change the logging level, add logs to files, and also how to change the format of those logs. Let’s get started…
In this Python Tutorial, we will be setting up a development environment in Atom. We will walk through how to install Atom, install Packages, customize settings, and much more. Let’s get started…
In this Python Tutorial, we will be setting up a development environment in Sublime Text 3. We will walk through how to install Sublime Text, install Package Control, install Packages, and much more. Let’s get started…
In this Python Tutorial, we will be going over variable scope in Python. Scope is important because we need to understand it in just about every program we write. It allows us to understand where our variables can be seen from within our program and also what values these variables hold. It also helps with debugging, because scope is a common problem when errors are thrown. Let’s get started…
In this video, I’ll be answering some of the most common questions I get on this channel. I receive these questions in the comment section and in personal messages.
Here is a list of each question and the time you can skip forward to in order to here the answer:
1) What text editor or IDE are you using? – 0:25
2) How do you run Python code from within Sublime Text? – 1:13
3) What text editor or IDE do you recommend? – 2:03
4) How do you create slideshows that run in the browser? – 5:19
5) What Python books do you recommend? – 6:16
6) Why don’t you answer my comments? – 7:53
7) How can I get a programming job (Python)? – 9:04
8) Should I learn Python or [some other language]? – 10:18
9) Am I too old to learn programming or switch careers? – 13:00
My book recommendations:
Learning Python – http://amzn.to/2gbNPAP
Fluent Python – http://amzn.to/2gbLh5E
In this Python Tutorial, we will be learning how to install, setup, and use Jupyter Notebooks. Jupyter Notebooks have become very popular in the last few years, and for good reason. They allow you to create and share documents that contain live code, equations, visualizations and markdown text. This can all be run from directly in the browser. It is an essential tool to learn if you are getting started in Data Science, but will also have tons of benefits outside of that field. Let’s get started…
In this Python Object-Oriented Tutorial, we will begin our series by learning how to create and use classes within Python. Classes allow us to logically group our data and functions in a way that is easy to reuse and also easy to build upon if need be. Let’s get started…
In this Python Object-Oriented Tutorial, we will be learning about class variables. We will see how they differ from instance variables and also some ideas for exactly how we would want to use them. Let’s get started…