- Built In Functions
- Get a list of Python Modules installed in your Jupyter Notebook
- How to install modules to your Jupyter notebook
- How to import a module into your Jupyter notebook
- How to alias a module in Python
- How to import only needed items from your imported module
1) Built In Functions
Python includes many built in functions (table below).
| Built-in Functions | ||||
| abs() | delattr() | hash() | memoryview() | set() |
| all() | dict() | help() | min() | setattr() |
| any() | dir() | hex() | next() | slice() |
| ascii() | divmod() | id() | object() | sorted() |
| bin() | enumerate() | input() | oct() | staticmethod() |
| bool() | eval() | int() | open() | str() |
| breakpoint() | exec() | isinstance() | ord() | sum() |
| bytearray() | filter() | issubclass() | pow() | super() |
| bytes() | float() | iter() | print() | tuple() |
| callable() | format() | len() | property() | type() |
| chr() | frozenset() | list() | range() | vars() |
| classmethod() | getattr() | locals() | repr() | zip() |
| compile() | globals() | map() | reversed() | __import__() |
| complex() | hasattr() | max() | round() |
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These functions are always available to use but their functionality is limited. To write more complex programs Python allows you to use Modules. Modules are python programs that extend the functionality of your application. Some modules are part of the Python Standard Library and some are third party libraries. The Jupyter notebook comes with a list of Modules already installed.
2) Get a list of Python Modules installed in your Jupyter Notebook
- Open a terminal or command line window
- Type the command: conda list and press enter
3) How to install modules to your Jupyter notebook
- Open a terminal or command line window
- Use the command conda install
- Follow the package instructions
4) How to import a module into your Jupyter notebook
5) How to alias a module in Python
Aliases are used to reduce the amount of code you need to write. They give you a shorthand version of the module name. To use aliases in your import statement use the “as” keyword and then set the alias. .
6) How to import only needed items from your imported module
To import specific items from your imported module use the from and import keywords:
Recommended Books
 
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- Python Lesson 1: Hello World in Python
- Python Lesson 2: Reserved Keywords
- Python Lesson 3: Creating Variables
- Python Lesson 4: Performing math calculations in Python using operators
- Python Lesson 5: Working with Strings
- Python Lesson 6: Useful String Methods
- Python Lesson 7: Getting User Keyboard input
- Python Lesson 8: Importing Modules into your Python code
- Python Lesson 9: Decision making in Python
- Python Lesson 10: Creating loops in Python
- Python Lesson 11: Lists in Python
- Python Lesson 12: Tuples in Python
- Python Lesson 13: Dictionaries in Python
- Python Lesson 14: Sets in Python
- Python Lesson 15: Dealing with dates and time
- Python Lesson 16: Creating and using functions
- Python Lesson 17: Creating and using classes in Python
- Python Lesson 18: List Comprehensions
- Python Lesson 19: Lambda Functions
- Python Lesson 20: Error Handling