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the academic lessons are divided into comprehensive sections for fast and clean gaining knowledge of.
No previous programming revel in is needed
- learn ideas of Python and basic data strucutres
- increase information systems
- exercise with offline Python interpreter
- 250+ MCQs with targeted rationalization
- Many styles of Python packages with output
- often updated conceptual Python questions
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subjects covered:
Variables and types
Lists
Shallow and Deep copy
Operators
international and neighborhood Variable
String Formatting
simple String Operations
conditions
Loops
features
Recursive capabilities
Decorators
training and objects
Dictionaries
Modules statistics systems and Algorithms
Linear search
Binary search
Bubble sort
choice sort
Insertion kind
Shell sort
Stack
Queue
trees
timber representation
timber Traversals
Graphs
Graphs representation
Graphs Traversals
