Blackjack Python 3
This is because it will be easier to use (3, 2) to refer to the 4 th box from the left and 3 rd from the top (remember that the numbers start with 0, not 1) instead of using the pixel coordinate of the box’s top left corner, (220, 165). However, we need a way to translate between these two coordinate systems. In this course, you will learn how to create a Blackjack game by using Python 3. This is meant to be a fun game, an exercise that can be completed during your weekend. This game will randomly assign cards to the player and dealer. This game will also evaluate if either the player or dealer has a Blackjack.
Do you want to learn Python? What better way is there than to learn it by having a fun project?
In this course, you will learn how to create a Blackjack game by using Python 3. This is meant to be a fun game, an exercise that can be completed during your weekend.
This game will randomly assign cards to the player and dealer. This game will also evaluate if either the player or dealer has a Blackjack. The game will then accept player’s input if he wants to draw additional cards. The dealer will then draw his cards. The game ends by checking who has a better hand.
In this course, we will be going through some key concepts, such as list, dictionary, functions, and loops.
This is a hands-on course. You will be coding along side with me. I’ll be guiding you step-by-step along the way. Jupyter notebooks are included at each lesson to further reinforce your understanding on the particular topics.
You don’t need to know Python, as this course is made for a beginner. Even if you know some basic, you can still get along with the course.
If you are interested in learning this course, I’ll see you on the inside.
Happy learning!
Latest versionReleased:
Red-black trees
Project description
Blackjack is a simple implementation of the classic red-black tree as astandard Python data structure. A set and a dictionary are included:
Usage
Blackjacks and decks behave just like normal Python sets and dictionaries, buthave different performance characteristics and different requirements forkeys. All keys must be comparable, but need not be hashable:
This does impact heterogeneity somewhat, but shouldn’t be a problem for mostcommon uses. On the other hand, the average and worst-case times for access,membership testing, insertion, and deletion are all logarithmic, which makesblackjacks ideal for storing mappings of data with untrusted keys:
Even on small- to medium-sized sets of data, blackjacks quickly become moreeffective than dictionaries in the face of untrusted input.
This package only contains the blackjack module; tests are in the moduleand may be run with any standard test runner:
Blackjack Python 3d
Technical information
The specific trees used are left-leaning red-black trees. Red children areopportunistically reduced during balancing if nodes will be recreated anyway;this tends to shorten overall tree height by reducing the number of redchildren. Complexities are as follows:
Operation | Time | Space |
---|---|---|
Lookup | O(log n) | O(1) |
Membership | O(log n) | O(1) |
Insertion | O(log n) | O(log n) |
Deletion | O(log n) | O(log n) |
Update | O(log n) | O(log n) |
Sort | O(1) | O(1) |
Length | O(1) | O(1) |
Sorting according to the provided key function is constant because the tree’straversal order is presorted. Length is recorded and updated on mutation.Nodes are persistent and altering the tree generally requires a logarithmicspace commitment to create new nodes.
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1.1.1
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Blackjack Python Code
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