I have built an unofficial class to give an easy way to download DataCamp source code, and the datasets used in the course.
All the necesary libraries for run the project are in the requirements.txt.
There is a simple practical example in dataCamp_download.py, for download your course code, you must have completed the course. This command will create a directory structure where you will find the chapters of the course and its source code.
python dataCamp_download.py -u user_datacamp -p pass_datacamp -q course_url
course_url sample
https://www.datacamp.com/courses/intro-to-python-for-data-science
Exercise source code file example
#COMPARING A HISTOGRAM AND DISTPLOT
#STATEMENT
'''
The pandas library supports simple plotting of data, which is very convenient when data
is already likely to be in a pandas DataFrame.
'''
#INSTRUCTIONS
'''
Use the pandas' plot.hist() function to plot a histogram of the Award_Amount column.
'''
#EXERCISE SOURCE CODE
#Comparing a histogram and distplot subexercise 0
# Display pandas histogram
df['Award_Amount'].plot.hist()
plt.show()
# Clear out the pandas histogram
plt.clf()
#Comparing a histogram and distplot subexercise 1
# Display a Seaborn distplot
sns.distplot(df['Award_Amount'])
plt.show()
# Clear the distplot
plt.clf()