Choochoo student thread

[lucydot]

Hello Student 👋

Welcome to Choochoo the checklist tool! 🚋

The Checklist below is designed to help you recap on beginner Python topics.

Your personal checklist is generated below. You can also interact with me, choochoo-bot, using commands in this thread.
To list all possible choochoo commands type choochoo list commands in comment box below.

Running Python | links |

1. • Create a new Jupyter Notebook |
2. • Save and download a Jupyter Notebook |
3. • Create Markdown cells in a Jupyter Notebook |
4. • Run Python code in a Jupyter Notebook |
5. • Create in-line code comments using # |

Variables and Assignment | links |

6. • Use variables to store values |
7. • Use print to display values |
8. • Use meaningful variable names |

Data Types and Type Conversion | links |

9. • Explain the difference between integers and floats |
10. • Explain the difference between numeric values and strings |
11. • Convert between numbers and strings |

Built-in Functions, Help and Errors | links |

12. • Round a number to a specified number of decimal places |
13. • Use help() or ? (in Jupyter Notebooks) to access help documentation for a function |
14. • Descrive the difference between syntax errors and runtime errors |

Lists | links |

15. • Create a Python list |
16. • Find the length of a list |
17. • Fetch an item from a list using list indexing |
18. • Fetch multiple item from a list using list slicing |
19. • Replace an item in a list with a new value |

For Loops | links |

20. • Identify the iterable, dummy variable and loop body in a For loop |
21. • Use a For loop to repeat a basic programming task |
22. • Use range to iterate over a sequence of numbers |

Conditionals | links |

23. • Use if to control whether a block of code is executed |
24. • Combine a for loop and an if loop to implement a basic programming task |
25. • Use a combination of if, elif and else to implement a basic programming task |
26. • Test if a combination of things are true using and or or. |

Writing Functions | links |

27. • Define a simple function that returns a value |
28. • Call a custom-made function |

Variable scope | links |

29. • Explain the difference between local and global variables |

Libraries | links |

30. • Import a library |
31. • Import a library using an alias (nickname) |

Storing data in Numpy arrays | links |

32. • Read in data from a text file |
33. • Describe the difference between Numpy arrays and Python lists |
34. • Write a Numpy array to a text file |
35. • Create a one-dimensional Numpy array with zero-values |
36. • Create a two-dimensional Numpy array with zero-values |
37. • Create a one-dimensional Numpy array with pre-defined values |
38. • Create a Numpy array with evenly spaced numbers over a given interval |
39. • Create a Numpy array with evenly spaced numbers over a given interval in logspace |
40. • Combine the enumerate function with a for loop to populate a Numpy array |

Retrieving data from Numpy arrays | links |

41. • Use array indexing to select a single element from a 2D array |
42. • Use array slicing to select a column of a 2D array |
43. • Use array slicing to select a row of a 2D array |

Visualizing data with Matplotlib | links |

44. • Generate a basic line plot |
45. • Generate a basic scatter plot |
46. • Label the plot with an x-axis label, y-axis label and title |
47. • Create a plot legend |
48. • Use a figure and subplots to group similar plots |
49. • Save a plot as a .png file |

Analysing data using Numpy | links |

50. • Use the least-squares method to fit a polynomial function to data |
51. • Plot the polynomial fit alongside the raw data for comparison |
52. • Use Numpy array operations to perform mathematical operations across an array |
53. • Use Numpy functions e.g. mean, max, min or round across one or more array axes. |
54. • Plot the uncertainty associated with a measurement using an errorbar |

Code Quality | links |

55. • Use assertions to check for internal errors |
56. • Write docstrings to provide help messages |
57. • Print package version numbers to increase code reproducibility |
58. • Re-factor code to reduce code repetition and remove redundant code |