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Work on Python Data Structures in Python: Improve application performance with Python
Python is often used for web development, data analysis, artificial intelligence, scientific computing, and automation tasks, among other things. It has a wide range of built-in libraries that make it easy to perform everyday functions without writing a lot of code.
In this book you will
1. Lists, Tuples, Sets, Dictionaries
2. Python List with Examples
3. Creating, Functions, Methods, Operations
4. Python Dictionary with Methods, Functions and Dictionary Operations
5. Python Set and Booleans with Syntax and Examples
6. Comparison Between Lists and Tuples
7. Python Sequence and Collections
8. Python If, If-else, Nested Statements
9. Simple Ways to Implement Python Switch Case Statement
10. Python For Loop, Nested For Loop
11. Python Slice String & Slicing Tuple
12. Python List Comprehension (Syntax & Examples)
13. Learn Python Itertools and Python Iterables with Examples
14. Create your own Iterator
15. Chaining Decorators, Python Pie Syntax
16. Python Generator Expressions
17. Comparison Between Python Iterators and Generators
18. Define Python Closures Function
19. Create and Import Array in Python
20. Generate Random Numbers With NumPy
21. Python Counter, DefaultDict, OrderedDict, NamedTuple
Overall, Python is an excellent choice for anyone who wants to learn programming, whether you're interested in web development, data analysis or want to learn a new skill. With its simplicity, readability, and versatility, Python is an excellent language to start your programming journey.
Who this book is for
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book.
In this book you will
1. Lists, Tuples, Sets, Dictionaries
2. Python List with Examples
3. Creating, Functions, Methods, Operations
4. Python Dictionary with Methods, Functions and Dictionary Operations
5. Python Set and Booleans with Syntax and Examples
6. Comparison Between Lists and Tuples
7. Python Sequence and Collections
8. Python If, If-else, Nested Statements
9. Simple Ways to Implement Python Switch Case Statement
10. Python For Loop, Nested For Loop
11. Python Slice String & Slicing Tuple
12. Python List Comprehension (Syntax & Examples)
13. Learn Python Itertools and Python Iterables with Examples
14. Create your own Iterator
15. Chaining Decorators, Python Pie Syntax
16. Python Generator Expressions
17. Comparison Between Python Iterators and Generators
18. Define Python Closures Function
19. Create and Import Array in Python
20. Generate Random Numbers With NumPy
21. Python Counter, DefaultDict, OrderedDict, NamedTuple
Overall, Python is an excellent choice for anyone who wants to learn programming, whether you're interested in web development, data analysis or want to learn a new skill. With its simplicity, readability, and versatility, Python is an excellent language to start your programming journey.
Who this book is for
This book is highly appealing to all tech-savvy students, programming enthusiasts, IT graduates, and computer science professionals who want to build strong proficiency in building Python applications. Prior understanding of Python basic coding concepts like variables, expressions, and control structures is required to begin with this book.
241 pages, Kindle Edition
Published April 19, 2023
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