Day 72 [November 17, 2025]
I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 71 goals.
Goals:
As extracted from the 'Python for Software Development' textbook by Halvorsen (n.d.):
- Plotting in Python ✅
- Subplots✅
- Exercises✅
- If ... Else
- Arrays
- For Loops
- Nested
- For Loops
- While Loops
- Exercises
- Creating Functions in Python - Introduction
- Functions with multiple return values
- Exercises
- Creating Classes in Python
- The init () Function
- Exercises
- Creating Python Modules
- Exercises
Notes:
Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.):
Module 2: Python Data Structures
- Lists and Tuples
- Dictionaries
- Sets
The addition operator can be used to concatenate two lists, e.g.
[1,2,3] + [1,1,1]
outputs:
[1,2,3,1,1,1]
Dictionaries
- Type of collection
- Has keys (similar to index in lists) and values (similar to elements in lists)
- keys are unchangeable and unique
- values can be changeable, unchangeable, and copies
- each key-value pair is separated by comma. Must dictionaries always have key-value pairs and why?
- Keys can only be numbers strings, or any immutable object (like a tuple). On the therhand, values can be any data type. To every key there must be one and only one value
- Dictionaries can be imagined as a table, with keys being the first column and values the second.
- The keys of a dictionary can be retreived using keys() method, while values using the values() method Summary: I learnt about Dictionaries in Python.
References:
Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4
Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai
I learnt about Dictionaries in Python.
Day 72 [November 17, 2025]
I need to buckle down, as I'm still lagging on day day 3 & 4 goals, "Day 3-4: Control structures (if-else, loops)", as well as day 5 (and 6) goals, "Day 5-6: Functions and modules", and Day 7 target (exercises) (Meta AI, personal communication, August 8, 2025). If I haven't covered this, I can't make progress on day 8 - 71 goals.
Goals:
As extracted from the 'Python for Software Development' textbook by Halvorsen (n.d.):
- Plotting in Python ✅
- Subplots✅
- Exercises✅
- If ... Else
- Arrays
- For Loops
- Nested
- For Loops
- While Loops
- Exercises
- Creating Functions in Python - Introduction
- Functions with multiple return values
- Exercises
- Creating Classes in Python
- The init () Function
- Exercises
- Creating Python Modules
- Exercises
Notes:
Python for Data Science, AI & Development Course (IBM) (Santarcangelo, n.d.):
Module 2: Python Data Structures
- Lists and Tuples
- Dictionaries
- Sets
The addition operator can be used to concatenate two lists, e.g.
[1,2,3] + [1,1,1]
outputs:
[1,2,3,1,1,1]
Dictionaries
- Type of collection
- Has keys (similar to index in lists) and values (similar to elements in lists)
- keys are unchangeable and unique
- values can be changeable, unchangeable, and copies
- each key-value pair is separated by comma. Must dictionaries always have key-value pairs and why?
- Keys can only be numbers strings, or any immutable object (like a tuple). On the therhand, values can be any data type. To every key there must be one and only one value
- Dictionaries can be imagined as a table, with keys being the first column and values the second.
- The keys of a dictionary can be retreived using keys() method, while values using the values() method Summary: I learnt about Dictionaries in Python.
References:
Halvorsen, H. (n.d.). Python. https://halvorsen.blog/documents/programming/python/python.php#python4
Santarcangelo, J. (n.d.). Python for data science, AI & development [MOOC]. Coursera. https://coursera.org/learn/python-for-applied-data-science-ai
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