Join Michele Vallisneri for an in-depth discussion in this video Exercise files, part of Python: Data Analysis.
- The exercise files for this course are organized in folders by chapter and within each chapter, by video, if a video needs files. A few of the files contain the data that we will analyze but most, are IPython notebooks. The IPython notebook application, which we'll install later in the course, provides the environment that we will use throughout. To open these files, you first need to open the IPython notebook application from the shelf by typing, "ipython notebook." Then we can navigate to the file system location of the exercise files and open them by selecting them.
For each video, there are two files, a begin and an end file. The begin file is often empty and it is where we start at the beginning of the video. The end file will contain all the work that we've done by the end of the video.
- Writing and running Python in iPython
- Using Python lists and dictionaries
- Creating NumPy arrays
- Indexing and slicing in NumPy
- Downloading and parsing data files into NumPy and Pandas
- Using multilevel series in Pandas
- Aggregating data in Pandas
Skill Level Intermediate
Q: The course shows how to download files from FTP and web servers using Python 3.X. How do I do the same thing with Python 2.7?
A: First import urllib, then use urllib.urlretrieve(URL,filename). For instance, to download the stations.txt files used in the chapter 5 video “Downloading and parsing data files,” you’d do urllib.urlretrieve(‘ftp://ftp.ncdc.noaa.gov/pub/data/ghcn/daily/ghcnd-stations.txt','stations.txt').
1. Installation and Setup
2. Refresher: Data Containers in Python
3. Word Anagrams in Python
4. Introduction to NumPy
5. Weather Data with NumPy
6. Introduction to Pandas
7. Baby Names with Pandas
Next steps1m 36s
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