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Feuille de route complète LM
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Module 4
Python Data Structures and Modular Code
List Operations: Indexing, Slicing, and Modification
Create and manipulate lists (indexing, slicing, appending, removing).
2
Dictionary Basics: Creation, Access, and Iteration
Create and manipulate dictionaries (adding, accessing, iterating).
3
Tuples and Sets: Use Cases Explained
Use tuples and sets and explain their specific use cases.
4
List Comprehensions: Concise Data Manipulation
Write list comprehensions for concise data creation and transformation.
5
File I/O: Reading and Writing Text Files
Read from and write to text files.
6
Error Handling with Try/Except
Handle potential errors gracefully using try/except blocks.
7
Using Python's Built-in Modules
Import and use functions from standard Python modules like 'math' and 'random'.
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Python Environment and Programming Fundamentals
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Scientific Computing with NumPy