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		"text": "%md\npython.docker activate custompy37\n",
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		"text": "%python\nimport sys\nprint(\"Python version\")\nprint (sys.version)\nprint(\"Version info.\")\nprint (sys.version_info)\n",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:06-0700",
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		"text": "%python\nimport sys\nprint(\"Python version\")\nprint (sys.version)\nprint(\"Version info.\")\nprint (sys.version_info)\n",
		"user": "anonymous",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
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	}, {
		"text": "%python\nimport sys\nprint(\"Python version\")\nprint (sys.version)\nprint(\"Version info.\")\nprint (sys.version_info)\n",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:14-0700",
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		"errorMessage": "",
		"progressUpdateIntervalMs": 500,
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	}, {
		"text": "%python\nimport matplotlib.pyplot as plt\nplt.plot([1,2,3,4], [1,4,9,16], 'ro')\nplt.axis([0, 6, 0, 20])\nplt.show()",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:15-0700",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
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		"user": "anonymous",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
		"user": "anonymous",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:23-0700",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:32-0700",
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		"text": "%python\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)\n\nplt.show()",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:34-0700",
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		"errorMessage": "",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
		"user": "anonymous",
		"dateUpdated": "2019-03-27T13:25:42-0700",
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		"text": "%python\nimport matplotlib.pyplot as plt\nimport numpy as np\nt = np.arange(0.0, 2.0, 0.01)\ns = 1 + np.sin(2*np.pi*t)\nplt.plot(t, s)\nplt.xlabel('time (s)')\nplt.ylabel('voltage (mV)')\nplt.title('About as simple as it gets, folks')\nplt.grid(True)\nplt.savefig(\"test.png\")\nplt.show()",
		"user": "anonymous",
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		"text": "%python\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport matplotlib.animation as animation\r\n\r\nfig = plt.figure()\r\n\r\n\r\ndef f(x, y):\r\n    return np.sin(x) + np.cos(y)\r\n\r\nx = np.linspace(0, 2 * np.pi, 120)\r\ny = np.linspace(0, 2 * np.pi, 100).reshape(-1, 1)\r\n\r\nim = plt.imshow(f(x, y), animated=True)\r\n\r\n\r\ndef updatefig(*args):\r\n    global x, y\r\n    x += np.pi / 15.\r\n    y += np.pi / 20.\r\n    im.set_array(f(x, y))\r\n    return im,\r\n\r\nani = animation.FuncAnimation(fig, updatefig, interval=50, blit=True)\r\nplt.show()",
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		"text": "%python\n\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)\n\nplt.show()\n",
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		"text": "%python\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)\n\nplt.show()",
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		"text": "%python\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)",
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		"text": "%python\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)",
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		"text": "%python\n# This import registers the 3D projection, but is otherwise unused.\nfrom mpl_toolkits.mplot3d import Axes3D  # noqa: F401 unused import\n\nimport matplotlib.pyplot as plt\nfrom matplotlib import cm\nfrom matplotlib.ticker import LinearLocator, FormatStrFormatter\nimport numpy as np\n\n\nfig = plt.figure()\nax = fig.gca(projection='3d')\n\n# Make data.\nX = np.arange(-5, 5, 0.25)\nY = np.arange(-5, 5, 0.25)\nX, Y = np.meshgrid(X, Y)\nR = np.sqrt(X**2 + Y**2)\nZ = np.sin(R)\n\n# Plot the surface.\nsurf = ax.plot_surface(X, Y, Z, cmap=cm.coolwarm,\n                       linewidth=0, antialiased=False)\n\n# Customize the z axis.\nax.set_zlim(-1.01, 1.01)\nax.zaxis.set_major_locator(LinearLocator(10))\nax.zaxis.set_major_formatter(FormatStrFormatter('%.02f'))\n\n# Add a color bar which maps values to colors.\nfig.colorbar(surf, shrink=0.5, aspect=5)",
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		"text": "%md\nend\n",
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