It's a new week and I am showing up with intention. π
My goal this week is to get comfortable with loops and dictionaries.
Whatever your goal is, let this week be the one where you make real progress on it.
Let's get it! π
#DataAnalytics#LearningInPublic#Monday
Day 9 of learning data analytics π
Today: Python lists and tuples.
Covered indexing, slicing, changing lists, list functions and methods.
Wrote a function that checks if a guest is "fashionably late" β arrived
after at least half the party guests, but not the very last one π
Earned another badge for consistency π
Python folks, here's one for you π
What differentiates a list from a tuple?
#DataAnalytics #LearningInPublic
Day 8 of learning data analytics π
More booleans and conditional statements β combining boolean values using "and", "or", and "not".
Built a function that determines whether a customer wants a particular topping on their hot dog π
Struggled with a function representing a player's decision-making strategy in a Blackjack game π β but I'm not giving up on it.
#DataAnalytics #LearningInPublic
Day 7 of learning data analytics π
The lesson was about the help function, docstrings and higher-order functions.
Also practiced debugging β reading Python error messages to spot and fix errors in code.
Turns out error messages are actually helpful once you know how to read them π
One week down! π
#DataAnalytics #LearningInPublic
Day 6 of learning data analytics π
Today: Started the Kaggle Python course π
Fun fact: Python was named after Monty Python, the British comedy group β
not the snake!
Learned:
β Python operators and order of operations (Python follows the PEMDAS rule)
β Built-in functions for working with numbers
β How to use parentheses to control how Python evaluates expressions
Wrote my first Python script that splits candy evenly among 3 friends.
Leftover candy gets smashed π
- A new badge added to my collection.
#DataAnalytics #LearningInPublic
Day 8 of learning data analytics π
More booleans and conditional statements β combining boolean values using "and", "or", and "not".
Built a function that determines whether a customer wants a particular topping on their hot dog π
Struggled with a function representing a player's decision-making strategy in a Blackjack game π β but I'm not giving up on it.
#DataAnalytics #LearningInPublic
Day 7 of learning data analytics π
The lesson was about the help function, docstrings and higher-order functions.
Also practiced debugging β reading Python error messages to spot and fix errors in code.
Turns out error messages are actually helpful once you know how to read them π
One week down! π
#DataAnalytics #LearningInPublic
Day 6 of learning data analytics π
Today: Started the Kaggle Python course π
Fun fact: Python was named after Monty Python, the British comedy group β
not the snake!
Learned:
β Python operators and order of operations (Python follows the PEMDAS rule)
β Built-in functions for working with numbers
β How to use parentheses to control how Python evaluates expressions
Wrote my first Python script that splits candy evenly among 3 friends.
Leftover candy gets smashed π
- A new badge added to my collection.
#DataAnalytics #LearningInPublic
π Milestone unlocked: Kaggle Intro to Programming Certificate earned π
Days into my data analytics journey.
Started with zero coding experience. Days later, I am writing functions, working with lists,
and solving real-world problems with Python.
Next up: Kaggle Python course.
#DataAnalytics #LearningInPublic
π Milestone unlocked: Kaggle Intro to Programming Certificate earned π
Days into my data analytics journey.
Started with zero coding experience. Days later, I am writing functions, working with lists,
and solving real-world problems with Python.
Next up: Kaggle Python course.
#DataAnalytics #LearningInPublic
Day 5 of learning data analytics π
Today: Introduction to lists β slicing, adding and removing items.
Built functions that calculate:
β Percentage growth in users over a given number of years
β Percentage of people who liked a movie based on ratings
Lists are simple but powerful β already using them to solve real problems.
#DataAnalytics #LearningInPublic
Day 5 of learning data analytics π
Today: Introduction to lists β slicing, adding and removing items.
Built functions that calculate:
β Percentage growth in users over a given number of years
β Percentage of people who liked a movie based on ratings
Lists are simple but powerful β already using them to solve real problems.
#DataAnalytics #LearningInPublic
Day 4 of learning data analytics π
Learnt Conditions and Conditional Statements. Got introduced to the if, else and elif statements.
I built two functions:
β One calculates customer data bills based on GB used
β One calculates water bills using a tiered pricing structure
Starting to see how real-world billing systems are built with just a few lines of code.
#DataAnalytics #LearningInPublic
Day 4 of learning data analytics π
Learnt Conditions and Conditional Statements. Got introduced to the if, else and elif statements.
I built two functions:
β One calculates customer data bills based on GB used
β One calculates water bills using a tiered pricing structure
Starting to see how real-world billing systems are built with just a few lines of code.
#DataAnalytics #LearningInPublic
Day 3 of learning data analytics!
I learned about data types and wrote a function with string and boolean parameters.
Built a function that calculates cost based on a true/false input β first time seeing how booleans can actually control logic, not just store yes/no.
On to conditions and conditional statements.
#DataAnalytics #LearningInPublic
Day 3 of learning data analytics!
I learned about data types and wrote a function with string and boolean parameters.
Built a function that calculates cost based on a true/false input β first time seeing how booleans can actually control logic, not just store yes/no.
On to conditions and conditional statements.
#DataAnalytics #LearningInPublic
Day 2 of learning data analytics π
Today: Finished the Functions lesson in Kaggle's Intro to Programming course.
Worked through a problem calculating the cost of painting a house β using sqft_walls, sqft_ceiling, sqft_per_gallon, and cost_per_gallon as parameters.
Struggled a bit with math.ceil() to round up the total cans of paint needed, but got there in the end.
#DataAnalytics #LearningInPublic
Day 2 of learning data analytics π
Today: Finished the Functions lesson in Kaggle's Intro to Programming course.
Worked through a problem calculating the cost of painting a house β using sqft_walls, sqft_ceiling, sqft_per_gallon, and cost_per_gallon as parameters.
Struggled a bit with math.ceil() to round up the total cans of paint needed, but got there in the end.
#DataAnalytics #LearningInPublic
Day 1 of learning data analytics π
I am starting over!
Completed my first lesson on Kaggle Learn today! I got every exercise right.
Documenting my progress here. Let's see where this goes.
#LearningInPublic#DataAnalytics
Day 1 of learning data analytics π
I am starting over!
Completed my first lesson on Kaggle Learn today! I got every exercise right.
Documenting my progress here. Let's see where this goes.
#LearningInPublic#DataAnalytics
api latency is killing me today. just trying to shave off a few ms from this endpoint but every change seems to just shift the problem around. it's a game of whack-a-mole.
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