pip and virtual environments

All lessons in this track

1. 1
   What data science is, in plain words ~15 min
2. 2
   How data is organised: rows, columns and types ~20 min
3. 3
   Installing Python, step by step ~30 min
4. 4
   Your first program, and how to run it ~20 min account needed
5. 5
   Variables, numbers, text and input ~25 min account needed
6. 6
   Lists and dictionaries: holding many values ~25 min account needed
7. 7
   Conditions and loops: deciding and repeating ~30 min account needed
8. 8
   Functions: naming a piece of work ~25 min account needed
9. 9
   Reading a real data file: CSV ~30 min account needed
10. 10
    Describing data: the statistics you actually need ~30 min account needed
11. 11
    pip and virtual environments ~25 min account needed
12. 12
    Your first chart, and your first project ~30 min account needed