Get up to speed on [pandas](http://pandas.pydata.org/) and
[TensorFlow](https://www.tensorflow.org/) basics with these Datalab notebooks
(click [here](https://github.com/google/eng-edu/blob/master/ml/cc/README.md) for
installation instructions):

*   **Hello World:** An introduction to the Datalab notebook environment that
    shows how to code ["Hello
    World"](https://en.wikipedia.org/wiki/%22Hello,_World!%22_program) in
    TensorFlow.

*   **TensorFlow Programming Concepts:** A walkthrough of the fundamental
    components of a TensorFlow application: tensors, operations, graphs, and
    sessions.

*   **Creating and Manipulating Tensors:** A quick primer on tensors: the
    central abstraction in TensorFlow programming. Also provides a refresher on
    matrix addition and multiplication in linear algebra.

*   **Quick Introduction to pandas:** A tutorial on basic data manipulation with
    pandas.
