A brief introduction to modern AI and a list of useful online courses for learning it properly. Includes courses about Machine Learning and Deep Learning. Also includes advanced courses that target development of AI applications and algorithms. Many courses will include specific tools (TensorFlow, Keras, Caffe2, PyTorch, etc.)
The Pandas Series can be defined as a one-dimensional array that is capable of storing various data types. We can easily convert the list, tuple, and dictionary into series using the "series' method. The row labels of series are called the index.
What idioms should I use to make my code easier to read?
Read "The Python Cookbook", especially the first few chapters.
It's a great source of well-written Python code examples.
Use function factories to create utility functions.
Often, especially if you're using map and filter a lot,
you need utility functions that convert other functions or methods to
taking a single parameter. In particular, you often want to bind some data
to the function once, and then apply it repeatedly to different objects.
In the above example, we needed a function that multiplied a particular field
of an object by 3, but what we really want is a factory that's able to return
for any field name and amount a multiplier function in that family:
Use zip and dict to map fields to names.
zip turns a pair of sequences into a list of tuples containing
the first, second, etc. values from each sequence. For example,
zip('abc', [1,2,3]) == [('a',1),('b',2),('c',3)]. You can use
this to save a lot of typing when you have fields in a known order that
you want to map to names: