Join Charles Kelly for an in-depth discussion in this video Install software, part of Pandas for Data Science.
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- [Narrator] Even for an experienced administrator, configuration management, which includes finding the correct versions of software, downloading them, and installing them properly, can be difficult. For new users, configuration management can be a difficult and time consuming process. Continuum Analytics has created the Anaconda platform, which according to its documentation, provides an enterprise-ready data analytics platform that empowers companies to adopt a modern, open, data science analytics architecture.
We won't use the entire Anaconda platform for this course, but we will use its simplified configuration management capabilities to download and install Panda's Python, Numpy, and Jupyter interactive notebooks. Navigate to the Anaconda downloads page, scroll down, and select a Graphical Installer for Python 3.5. After the installation program has finished downloading, click on the icon, and follow the steps through the wizard.
Click Next, agree to the license. I'm going to install this for all users on this computer. And give Anaconda permission to modify files on the computer. Select the default installation. And select the Advanced Options. After the installation process is complete, click Next, and click Finish. You'll be directed back to the Anaconda website. You can exit from here. And now let's test the Anaconda installation.
On your keyboard, select the Windows key, and begin to type Anaconda, A-N-A-C-O-N-D-A. Select the Anaconda navigator. Once Anaconda appears, check OK. Now we'll launch a Jupyter notebook. Go to the Jupyter frame, and press the Launch button. Anaconda will open a new tab in your default browser. The tab will contain your dashboard. It contains a list of files associated with the directory where you chose to install Anaconda navigator.
Let's expand this page, and let's take a quick look at how to use a Jupyter notebook, and test that it's working correctly. Go to the New tab, select Python, and what you'll see is an interactive notebook. Type import numpy as np, and press shift + enter. If you don't receive an error message, then Anaconda was installed correctly. This indicates that Numpy is part of the Anaconda default installation and download.
There may be times when you'll want to install software that was not part of the default Anaconda installation. You can do this by opening a command prompt on your computer. Right-click on the Windows tab, and select Command Prompt. At command prompt, type conda install seaborn. You'll see a listing for the seaborn entries and their requirements. Select yes to proceed. Hit the enter key. I won't use seaborn in this course, but this example shows how to install software using conda, that is not included in the default Anaconda installation.
Now that you've installed the software, let's proceed with the course.
Watch this course to gain an overview of Pandas. Charles Kelly helps you get started with time series, data frames, panels, plotting, and visualization. All you need is a copy of the free and interactive Jupyter Notebook app to practice and follow along.
- Using the Markdown language and Jupyter Notebook
- Creating objects
- Selecting objects
- Using operations
- Merging data
- Creating series
- Creating data frames
- Creating panels
- Annotating plots and data frame plots