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Update README.md - Fixed the broken link #42

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Update README.md - Fixed the broken link #42

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12 changes: 6 additions & 6 deletions Projects/1_Sudoku/README.md
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Expand Up @@ -9,21 +9,21 @@ In this project, you will extend the Sudoku-solving agent developed in the class

**YOU ONLY NEED TO WRITE CODE IN `solution.py`.**

1. Follow the instructions in the classroom lesson to install and configure the `aind` [Anaconda](https://www.continuum.io/downloads) environment which includes several important packages that are used for the project. OS X or Unix/Linux users can activate the aind environment by running the following (Windows users simply run `activate aind`):
1. Follow the instructions in the classroom lesson to install and configure the `aind` [Anaconda](https://www.anaconda.com/products/distribution) environment which includes several important packages that are used for the project. OS X or Unix/Linux users can activate the aind environment by running the following (Windows users simply run `activate aind`):

`$ source activate aind`

2. You can run a small set of test cases using the local test suite.
3. You can run a small set of test cases using the local test suite.

`(aind)$ python -m unittest -v`

3. Copy your code from the classroom for the search and basic strategies, then add the diagonal units at the top of the solutions.py file and complete the `naked_twins()` function. Pseudocode for the `naked_twins()` function is available [here](https://github.com/udacity/artificial-intelligence/blob/master/Projects/1_Sudoku/pseudocode.md).
4. Copy your code from the classroom for the search and basic strategies, then add the diagonal units at the top of the solutions.py file and complete the `naked_twins()` function. Pseudocode for the `naked_twins()` function is available [here](https://github.com/udacity/artificial-intelligence/blob/master/Projects/1_Sudoku/pseudocode.md).

4. Run the test suite again to check your progress. Once you pass all the test cases in the local test suite, you can submit the project to run more comprehensive tests with the remote test suite:
5. Run the test suite again to check your progress. Once you pass all the test cases in the local test suite, you can submit the project to run more comprehensive tests with the remote test suite:

`(aind)$ udacity submit`

5. You can run the code with visualization (see the last section of the readme for more information)
6. You can run the code with visualization (see the last section of the readme for more information)

`(aind)$ python solution.py`

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