A - Foundations¶
A1 Data types¶
Basics¶
- integers
- Download exercises zip
- Jupyter
- Objects
- Variables
- Detect the type of a variable
- Reassign a variable
- Reusing a variable
- Assignments - questions
- Exercise - exchange
- Exercise - cycling
- Changing type during execution
- Multiple commands on the same line
- Multiple initializations
- Exercise - exchange like a ninja
- Names of variables
- Names of variables - questions
- Numerical types
- Integer numbers
- Continue
- booleans
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- Boolean operators
- Questions with costants
- Questions with variables
- De Morgan
- Conversion
- Questions - what is a boolean?
- Evaluation order
- Evaluation errors
- Comparison operators
- Exercise - The Lava Temple
- Exercise - The Tower of Gradius I
- Exercise - The Pipe Jump
- Exercise - The Tower of Gradius II
- Continue
- floats
- challenges
Strings¶
- intro
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- What to do
- Creating strings
- Printing - the cells
- The empty string
- Printing many strings
- Length of a string
- Printing - escape sequences
- Encodings
- Strings are immutable
- Strings and numbers
- Conversions - from string to number
- Conversions - from number to string
- Formatting strings
- Continue
- operators
- basic methods
- search methods
- challenges
Lists¶
- intro
- operators
- basic methods
- search methods
- challenges
Tuples¶
Sets¶
A2 Control Flow¶
If command¶
For loops¶
- intro
- iterating strings
- iterating lists
- iterating tuples
- iterating sets
- iterating dictionaries
- nested fors
- challenges
While loops¶
- intro
- Download exercises zip
- What to do
- Counting with a while
breakandcontinuecommands- Questions - Are they equivalent?
- Are they equivalent? - BORG
- Are they equivalent? - until 3
- Are they equivalent? - by chance
- Are they equivalent? - until six
- Are they equivalent? - countdown 1
- Are they equivalent? - countdown 2
- Are they equivalent? - sorcery
- Are they equivalent? - ping pong
- Are they equivalent? - zanna
- Are they equivalent? - pasticcio
- Exercises - counters
- Searching a sequence
- Modifying sequences
- Exercises - stack
- Continue
- challenges
Sequences¶
- intro
- Download exercises zip
- What to do
- Iterables - lists
- iterables - range
- Materializing a sequence
- reversed
- sorted
- zip
- List comprehensions
- Questions - List comprehensions
- Exercises - list comprehension
- Filtered list comprehensions
- Questions - filtered list comprehensions
- Exercises - filtered list comprehensions
- Exercise - Data science
- Continue
- challenges
A3 Algorithms¶
Functions, error handling and testing¶
- intro
- error handling and testing
- functions with strings
- functions with lists
- functions with tuples
- functions with sets
Matrices of lists¶
- intro
- more exercises
- Download exercises zip
- What to do
- Exercise - diag
- Exercise - anti_diag
- Exercise - is_utriang
- Exercise - stitch_left_mod
- Exercise - transpose_1
- Exercise - transpose_2
- Exercise - cirpillino
- Exercise - flag
- Exercise - avoid_diag
- Exercise - no_diag
- Exercise - no_anti_diag
- Exercise - repcol
- Exercise - matinc
- Exercise - flip
- Exercise - wall
- Exercise - sortlast
- Exercise - skyscraper
- Exercise - school lab
- Exercise - dump
- Exercise - matrix multiplication
- Exercise - check_nqueen
- Continue
- challenges
Mixed structures¶
Numpy matrices¶
- intro
- exercises
- Download exercises zip
- Introduction
- Exercise - frameslices
- Exercise - framefill
- Exercise - avg_rows
- Exercise - matrot
- Exercise - odd
- Exercise - doublealt
- Exercise - chessboard
- Exercise - altsum
- Exercise - avg_half
- Exercise - matxarr
- Exercise - colgap
- Exercise - substmax
- Exercise - quadrants
- Exercise - downup
- Exercise - stairsteps
- Exercise - vertstairs
- Exercise - comprescol
- Exercise - revtriang
- Exercise - walkas
- Exercise - walkaz
- Continue
- References
B - Data analysis¶
C - Applications¶
TODO