Python is an amazing language with a strong and friendly community of pro- grammers. However, there is a lack of documentation on what to learn after getting the basics of Python down your throat. Through this book I aim to solve this problem. I would give you bits of information about some interesting topics which you can further explore.
The topics which are discussed in this book open up your mind towards some nice corners of Python language. This book is an outcome of my desire to have something like this when I was beginning to learn Python.
If you are a beginner, intermediate or even an advanced programmer there is something for you in this book.
Read online at Python Tips or get the donation version at Gumroad.
- Intermediate Python
- *args and **kwargs
- Usage of *args
- *args and **kwargs
- Usage of **kwargs
- Using *args and **kwargs to call a function
- When to use them?
- Debugging
- Generators
- Iterable
- Iterator
- Iteration
- Generators
- Generators
- Map & Filter
- Map
- Filter
- Map & Filter
- set Data Structure
- Ternary Operators
- Decorators
- Everything in python is an object:
- Defining functions within functions:
- Returning functions from within functions:
- Giving a function as an argument to another function:
- Writing your first decorator:
- Writing your first decorator:
- Use-cases:
- Authorization
- Logging
- Decorators
- Global & Return
- Global & Return
- Multiple return values
- Mutation
- __slots__ Magic
- Virtual Environment
- Collections
- defaultdict
- counter
- deque
- namedtuple
- enum.Enum (Python 3.4+)
- Collections
- Enumerate
- Object introspection
- dir
- type and id
- inspect module
- Object introspection
- Comprehensions
- list comprehensions
- dict comprehensions
- set comprehensions
- Comprehensions
- Exceptions
- Handling multiple exceptions:
- Handling multiple exceptions:
- finally clause
- try/else clause
- Exceptions
- Handling multiple exceptions:
- Lambdas
- One-Liners
- For - Else
- else clause:
- For - Else
- Open function
- Targeting Python 2+3
- Coroutines
- Function caching
- Python 3.2+
- Python 2+
- Function caching
- Context managers
- Implementing Context Manager as a Class:
- Handling exceptions
- Implementing a Context Manager as a Generator
- Context managers
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