"To complete this tutorial, you will need [Docker](https://www.docker.com/get-started/) and [Python 3.x](https://www.python.org/) installed.\n",
"To complete this tutorial, you will need [Docker](https://www.docker.com/get-started/) and [Python 3.x](https://www.python.org/) installed.\n",
"\n",
"\n",
"Ensure you have a running `Memgraph` instance. You can download and run it in a local Docker container by executing the following script:\n",
"Ensure you have a running Memgraph instance. To quickly run Memgraph Platform (Memgraph database + MAGE library + Memgraph Lab) for the first time, do the following:\n",
"You will need to wait a few seconds for the database to start. If the process is completed successfully, you should see something like this:\n",
"On Windows:\n",
"```\n",
"```\n",
"mgconsole X.X\n",
"iwr https://windows.memgraph.com | iex\n",
"Connected to 'memgraph://127.0.0.1:7687'\n",
"Type :help for shell usage\n",
"Quit the shell by typing Ctrl-D(eof) or :quit\n",
"memgraph>\n",
"```\n",
"```\n",
"\n",
"\n",
"Both commands run a script that downloads a Docker Compose file to your system, builds and starts `memgraph-mage` and `memgraph-lab` Docker services in two separate containers. \n",
"\n",
"Read more about the installation process on [Memgraph documentation](https://memgraph.com/docs/getting-started/install-memgraph).\n",
"\n",
"Now you can start playing with `Memgraph`!"
"Now you can start playing with `Memgraph`!"
]
]
},
},
@ -89,7 +85,7 @@
"id": "95ba37a4",
"id": "95ba37a4",
"metadata": {},
"metadata": {},
"source": [
"source": [
"We're utilizing the Python library [GQLAlchemy](https://github.com/memgraph/gqlalchemy) to establish a connection between our Memgraph database and Python script. To execute queries, we can set up a Memgraph instance as follows:"
"We're utilizing the Python library [GQLAlchemy](https://github.com/memgraph/gqlalchemy) to establish a connection between our Memgraph database and Python script. You can establish the connection to a running Memgraph instance with the Neo4j driver as well, since it's compatible with Memgraph. To execute queries with GQLAlchemy, we can set up a Memgraph instance as follows:"