There are several ways to manage Python versions and Python environments and some of these include
Virtualenv. This blog will focus on the
Virtualenv. According to its online documentation Virtualenv is used to create isolated Python environments. Using a virtual environment helps to keep Python projects isolated and the developer does not have to worry about accidentally changing versions of her libraries, thereby unwittingly breaking her application. Below are some quick steps on how to install and create virtual environments with Virtualenv. You'll need to have Python 3 installed for Virtualenv to work.
Anaconda is a free open source software tool and it comes with programming languages like
R; as well as the package manager Conda which you can read more about here. According to its Wikipedia page, Anaconda is used by over 6 million people, has over 1400 commonly used data science packages and it can be easily installed on most major operating systems. This tutorial continues from
Episode #17, and here we learn how to use
Conda to install and manage our Python environments and packages.
In this tutorial, we are going to learn about how to set up our own wiki engine on our local machine using Gitlab and the Gollum wiki engine. Before we get started we need to make sure that you have a registered account with GitLab. In addition to this we will need to have Git and Ruby installed on your local machine. If you don't have any of these installed you can try using the Install Rails to install all the basics mentioned above. You can also search online to find and learn about alternative ways to install the above. I also have written and created screencasts on Version Control and Ruby and you can find these on my website kode47. I have also provided links in the resources section below. Are you ready? Let us get started!
In this screencast, we are going to learn about how to install
Python on our local machine. Some operating systems such as the
Mac OSX come preinstalled with Python. To find out if you already have
Python installed you can fire up your terminal and type in
So far we have learned how to use PostgreSQL to create a SQL database, table, and insert data using the PostgreSQL console. In this episode, we're going to simplify things a little by using SQL files.
In this episode, we're going to learn how to insert data into our database using SQL's
In this tutorial, we're going to learn how to create a table using SQL and PostgreSQL.
Getting familiar with the Cloud9 workspace, terminal, and Ace editor.
In this tutorial, we're going to get set up with Amazon Web Services (AWS) Cloud9, create connect to our PostgreSQL database on Cloud9 and create a database.
If you prefer to use a graphical user interface (GUI), you can install pgAdmin. Installing pgAdmin is outside the scope of this tutorial because it is easy to install and there is great documentation online on how to install it.