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76 | 76 | "\n",
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77 | 77 | "A Jupyter notebook is made up of many cells. Each cell can contain Python code. You can execute a cell by clicking on it and pressing `Shift-Enter` or `Ctrl-Enter` (run without moving to the next line). \n",
|
78 | 78 | "\n",
|
79 |
| - "### Login into the web server\n", |
80 |
| - "\n", |
81 |
| - "The easiest way to run this and other notebooks for the EANBiT course participants is to log into the Jupyter server (Unfortunately, this is not currently working). The steps for running notebooks are:\n", |
82 |
| - "* Log in using the username and password assigned to you. The first time you log in an empty account will automatically be set up for you.\n", |
83 |
| - "* Press the start button (if prompted by the system)\n", |
84 |
| - "* Use the menu of the jupyter system to upload a .ipynb python notebook file or to start a new notebook.\n", |
85 |
| - "\n", |
86 | 79 | "### Further help\n",
|
87 | 80 | "\n",
|
88 | 81 | "To learn more about Jupyter notebooks, check [the official introduction](http://nbviewer.jupyter.org/github/jupyter/notebook/blob/master/docs/source/examples/Notebook/Notebook%20Basics.ipynb) and [some useful Jupyter Tricks](https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/). \n",
|
|
125 | 118 | "\n",
|
126 | 119 | "## How to learn from this resource?\n",
|
127 | 120 | "\n",
|
128 |
| - "Download all the notebooks from [Python4Bioinformatics](https://github.com/kipkurui/Python4Bioinformatics). The easiest way to do that is to clone the GitHub repository to your working directory using any of the following commands:\n", |
| 121 | + "Download all the notebooks from [Python4Bioinformatics](https://github.com/kipkurui/Python4Bioinformatics2019). The easiest way to do that is to clone the GitHub repository to your working directory using any of the following commands:\n", |
129 | 122 | "\n",
|
130 |
| - " git clone https://github.com/kipkurui/Python4Bioinformatics.git\n", |
| 123 | + " git clone https://github.com/kipkurui/Python4Bioinformatics2019.git\n", |
131 | 124 | "\n",
|
132 | 125 | "or\n",
|
133 | 126 | "\n",
|
134 |
| - " wget https://github.com/kipkurui/Python4Bioinformatics/archive/master.zip\n", |
| 127 | + " wget https://github.com/kipkurui/Python4Bioinformatics2019/archive/master.zip\n", |
135 | 128 | " \n",
|
136 | 129 | " unzip master.zip\n",
|
137 | 130 | " \n",
|
|
147 | 140 | "## License\n",
|
148 | 141 | "This work is licensed under the Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/.\n"
|
149 | 142 | ]
|
150 |
| - }, |
151 |
| - { |
152 |
| - "cell_type": "code", |
153 |
| - "execution_count": null, |
154 |
| - "metadata": {}, |
155 |
| - "outputs": [], |
156 |
| - "source": [] |
157 | 143 | }
|
158 | 144 | ],
|
159 | 145 | "metadata": {
|
|
172 | 158 | "name": "python",
|
173 | 159 | "nbconvert_exporter": "python",
|
174 | 160 | "pygments_lexer": "ipython3",
|
175 |
| - "version": "3.6.8" |
| 161 | + "version": "3.7.2" |
176 | 162 | }
|
177 | 163 | },
|
178 | 164 | "nbformat": 4,
|
|
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