Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Follow the instructions below:
Once you have finished solving the exercises, be sure to commit your changes, push them to your repository, and go to 4Geeks.com to upload the repository link.
Read the contents of the ./INSTRUCTIONS.md
file containing the steps to complete the project, follow them and develop the solution first in ./src/explore.ipynb
for testing and then move the clean code to ./src/app.py
. Be sure to delete the notebook once you no longer need it to keep the project clean and tidy.
Note: We also incorporated the solution samples on ./src/solution.ipynb that we strongly suggest you only use if you are stuck for more than 30 min or if you have already finished and want to compare it with your approach.
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3
Difficulty
easy
Average duration
2 hrs
Technologies
Back End
Data Science
SQL
Beautiful Soup
matplotlib
Web Scraping
Pandas
Machine Learning
Python
sqlite3