1.Lists and Tuples
- Creating and manipulating lists and tuples
- List and tuple methods (append, insert, remove, etc.)
- Using lists and tuples in loops and control structures
2.Dictionaries and Sets
- Creating and manipulating dictionaries and sets
- Dictionary and set methods (get, items, etc.)
- Using dictionaries and sets for efficient data lookups
3.Strings and Regular Expressions
- Working with strings and string methods
- Using regular expressions for pattern matching
4.Control Structures
- If-else statements
- For and while loops
- Iterating through data structures
- Using the range() function
5.Functions
- Defining and calling functions
- Parameters and arguments
- Return values
- Scope
6.Recursion
- Understanding recursion
- Implementing recursive algorithms
- Tail recursion
7.Sorting and Searching
- Sorting algorithms (e.g. bubble sort, merge sort, quick sort)
- Searching algorithms (e.g. linear search, binary search)
8.Data Structures
- Stacks and Queues
- Linked Lists
- Trees and Graphs
- Hash Tables
9.Advanced Topics
- Dynamic Programming
- Greedy Algorithms
- Divide and Conquer
- Backtracking
- Complexity Analysis
10.Standard Libraries
- Using built-in libraries for common tasks
- NumPy and SciPy for scientific computing
- Pandas for data analysis
- Scikit-learn for machine learning
- Matplotlib for data visualization
- NetworkX for graph and network analysis
11.Good Practices
- Code organization
- Writing clean and readable code
- Debugging techniques
- Best practices for optimization
- Using version control system
- Enforcing coding conventions
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