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1 | { | |
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@@ -69,8 +69,281 b'' | |||||
69 | "* [Parallel Decorator and map](Parallel Decorator and map.ipynb)\n", |
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69 | "* [Parallel Decorator and map](Parallel Decorator and map.ipynb)\n", | |
70 | "* [Parallel Magics](Parallel Magics.ipynb)\n", |
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70 | "* [Parallel Magics](Parallel Magics.ipynb)\n", | |
71 | "* [Using Dill](Using Dill.ipynb)\n", |
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71 | "* [Using Dill](Using Dill.ipynb)\n", | |
72 | "* [Using MPI with IPython Parallel](Using MPI with IPython Parallel.ipynb)" |
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72 | "* [Using MPI with IPython Parallel](Using MPI with IPython Parallel.ipynb)\n", | |
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73 | "* [Monte Carlo Options](Monte Carlo Options.ipynb)" | |||
73 | ] |
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74 | ] | |
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75 | }, | |||
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76 | { | |||
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77 | "cell_type": "heading", | |||
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78 | "level": 2, | |||
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79 | "metadata": {}, | |||
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80 | "source": [ | |||
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81 | "Non-notebook examples" | |||
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82 | ] | |||
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83 | }, | |||
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84 | { | |||
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85 | "cell_type": "markdown", | |||
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86 | "metadata": {}, | |||
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87 | "source": [ | |||
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88 | "This directory also contains a number of examples that are regular Python (`.py`) files." | |||
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89 | ] | |||
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90 | }, | |||
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91 | { | |||
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92 | "cell_type": "code", | |||
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93 | "collapsed": false, | |||
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94 | "input": [ | |||
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95 | "from IPython.display import FileLink, display" | |||
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96 | ], | |||
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97 | "language": "python", | |||
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98 | "metadata": {}, | |||
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99 | "outputs": [], | |||
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100 | "prompt_number": 7 | |||
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101 | }, | |||
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102 | { | |||
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103 | "cell_type": "markdown", | |||
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104 | "metadata": {}, | |||
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105 | "source": [ | |||
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106 | "Here are single file Python examples:" | |||
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107 | ] | |||
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108 | }, | |||
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109 | { | |||
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110 | "cell_type": "code", | |||
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111 | "collapsed": false, | |||
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112 | "input": [ | |||
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113 | "files =!ls *.py\n", | |||
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114 | "for f in files:\n", | |||
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115 | " display(FileLink(f))" | |||
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116 | ], | |||
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117 | "language": "python", | |||
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118 | "metadata": {}, | |||
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119 | "outputs": [ | |||
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120 | { | |||
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121 | "html": [ | |||
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122 | "<a href='customresults.py' target='_blank'>customresults.py</a><br>" | |||
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123 | ], | |||
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124 | "metadata": {}, | |||
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125 | "output_type": "display_data", | |||
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126 | "text": [ | |||
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127 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/customresults.py" | |||
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128 | ] | |||
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129 | }, | |||
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130 | { | |||
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131 | "html": [ | |||
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132 | "<a href='dagdeps.py' target='_blank'>dagdeps.py</a><br>" | |||
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133 | ], | |||
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134 | "metadata": {}, | |||
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135 | "output_type": "display_data", | |||
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136 | "text": [ | |||
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137 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/dagdeps.py" | |||
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138 | ] | |||
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139 | }, | |||
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140 | { | |||
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141 | "html": [ | |||
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142 | "<a href='dependencies.py' target='_blank'>dependencies.py</a><br>" | |||
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143 | ], | |||
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144 | "metadata": {}, | |||
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145 | "output_type": "display_data", | |||
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146 | "text": [ | |||
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147 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/dependencies.py" | |||
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148 | ] | |||
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149 | }, | |||
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150 | { | |||
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151 | "html": [ | |||
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152 | "<a href='fetchparse.py' target='_blank'>fetchparse.py</a><br>" | |||
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153 | ], | |||
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154 | "metadata": {}, | |||
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155 | "output_type": "display_data", | |||
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156 | "text": [ | |||
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157 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/fetchparse.py" | |||
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158 | ] | |||
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159 | }, | |||
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160 | { | |||
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161 | "html": [ | |||
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162 | "<a href='iopubwatcher.py' target='_blank'>iopubwatcher.py</a><br>" | |||
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163 | ], | |||
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164 | "metadata": {}, | |||
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165 | "output_type": "display_data", | |||
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166 | "text": [ | |||
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167 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/iopubwatcher.py" | |||
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168 | ] | |||
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169 | }, | |||
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170 | { | |||
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171 | "html": [ | |||
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172 | "<a href='itermapresult.py' target='_blank'>itermapresult.py</a><br>" | |||
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173 | ], | |||
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174 | "metadata": {}, | |||
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175 | "output_type": "display_data", | |||
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176 | "text": [ | |||
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177 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/itermapresult.py" | |||
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178 | ] | |||
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179 | }, | |||
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180 | { | |||
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181 | "html": [ | |||
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182 | "<a href='nwmerge.py' target='_blank'>nwmerge.py</a><br>" | |||
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183 | ], | |||
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184 | "metadata": {}, | |||
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185 | "output_type": "display_data", | |||
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186 | "text": [ | |||
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187 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/nwmerge.py" | |||
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188 | ] | |||
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189 | }, | |||
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190 | { | |||
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191 | "html": [ | |||
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192 | "<a href='phistogram.py' target='_blank'>phistogram.py</a><br>" | |||
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193 | ], | |||
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194 | "metadata": {}, | |||
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195 | "output_type": "display_data", | |||
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196 | "text": [ | |||
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197 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/phistogram.py" | |||
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198 | ] | |||
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199 | }, | |||
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200 | { | |||
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201 | "html": [ | |||
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202 | "<a href='task_profiler.py' target='_blank'>task_profiler.py</a><br>" | |||
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203 | ], | |||
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204 | "metadata": {}, | |||
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205 | "output_type": "display_data", | |||
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206 | "text": [ | |||
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207 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/task_profiler.py" | |||
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208 | ] | |||
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209 | }, | |||
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210 | { | |||
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211 | "html": [ | |||
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212 | "<a href='throughput.py' target='_blank'>throughput.py</a><br>" | |||
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213 | ], | |||
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214 | "metadata": {}, | |||
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215 | "output_type": "display_data", | |||
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216 | "text": [ | |||
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217 | "/Users/bgranger/Documents/Computing/IPython/code/ipython/examples/Parallel Computing/throughput.py" | |||
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218 | ] | |||
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219 | } | |||
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220 | ], | |||
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221 | "prompt_number": 9 | |||
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222 | }, | |||
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223 | { | |||
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224 | "cell_type": "markdown", | |||
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225 | "metadata": {}, | |||
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226 | "source": [ | |||
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227 | "More substantial examples can be found in subdirectories:" | |||
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228 | ] | |||
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229 | }, | |||
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230 | { | |||
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231 | "cell_type": "code", | |||
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232 | "collapsed": false, | |||
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233 | "input": [ | |||
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234 | "files =!ls -d */\n", | |||
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235 | "for f in files:\n", | |||
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236 | " display(FileLinks(f))" | |||
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237 | ], | |||
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238 | "language": "python", | |||
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239 | "metadata": {}, | |||
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240 | "outputs": [ | |||
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241 | { | |||
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242 | "html": [ | |||
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243 | "daVinci Word Count/<br>\n", | |||
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244 | " <a href='daVinci Word Count/pwordfreq.py' target='_blank'>pwordfreq.py</a><br>\n", | |||
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245 | " <a href='daVinci Word Count/wordfreq.py' target='_blank'>wordfreq.py</a><br>" | |||
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246 | ], | |||
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247 | "metadata": {}, | |||
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248 | "output_type": "display_data", | |||
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249 | "text": [ | |||
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250 | "daVinci Word Count/\n", | |||
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251 | " pwordfreq.py\n", | |||
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252 | " wordfreq.py" | |||
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253 | ] | |||
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254 | }, | |||
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255 | { | |||
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256 | "html": [ | |||
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257 | "interengine/<br>\n", | |||
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258 | " <a href='interengine/bintree.py' target='_blank'>bintree.py</a><br>\n", | |||
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259 | " <a href='interengine/bintree_script.py' target='_blank'>bintree_script.py</a><br>\n", | |||
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260 | " <a href='interengine/communicator.py' target='_blank'>communicator.py</a><br>\n", | |||
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261 | " <a href='interengine/interengine.py' target='_blank'>interengine.py</a><br>" | |||
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262 | ], | |||
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263 | "metadata": {}, | |||
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264 | "output_type": "display_data", | |||
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265 | "text": [ | |||
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266 | "interengine/\n", | |||
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267 | " bintree.py\n", | |||
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268 | " bintree_script.py\n", | |||
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269 | " communicator.py\n", | |||
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270 | " interengine.py" | |||
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271 | ] | |||
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272 | }, | |||
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273 | { | |||
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274 | "html": [], | |||
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275 | "metadata": {}, | |||
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276 | "output_type": "display_data", | |||
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277 | "text": [] | |||
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278 | }, | |||
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279 | { | |||
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280 | "html": [ | |||
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281 | "pi/<br>\n", | |||
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282 | " <a href='pi/parallelpi.py' target='_blank'>parallelpi.py</a><br>\n", | |||
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283 | " <a href='pi/pidigits.py' target='_blank'>pidigits.py</a><br>" | |||
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284 | ], | |||
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285 | "metadata": {}, | |||
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286 | "output_type": "display_data", | |||
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287 | "text": [ | |||
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288 | "pi/\n", | |||
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289 | " parallelpi.py\n", | |||
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290 | " pidigits.py" | |||
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291 | ] | |||
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292 | }, | |||
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293 | { | |||
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294 | "html": [ | |||
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295 | "rmt/<br>\n", | |||
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296 | " <a href='rmt/rmt.ipy' target='_blank'>rmt.ipy</a><br>\n", | |||
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297 | " <a href='rmt/rmt.ipynb' target='_blank'>rmt.ipynb</a><br>\n", | |||
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298 | " <a href='rmt/rmtkernel.py' target='_blank'>rmtkernel.py</a><br>" | |||
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299 | ], | |||
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300 | "metadata": {}, | |||
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301 | "output_type": "display_data", | |||
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302 | "text": [ | |||
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303 | "rmt/\n", | |||
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304 | " rmt.ipy\n", | |||
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305 | " rmt.ipynb\n", | |||
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306 | " rmtkernel.py" | |||
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307 | ] | |||
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308 | }, | |||
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309 | { | |||
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310 | "html": [ | |||
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311 | "wave2D/<br>\n", | |||
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312 | " <a href='wave2D/communicator.py' target='_blank'>communicator.py</a><br>\n", | |||
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313 | " <a href='wave2D/parallelwave-mpi.py' target='_blank'>parallelwave-mpi.py</a><br>\n", | |||
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314 | " <a href='wave2D/parallelwave.py' target='_blank'>parallelwave.py</a><br>\n", | |||
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315 | " <a href='wave2D/RectPartitioner.py' target='_blank'>RectPartitioner.py</a><br>\n", | |||
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316 | " <a href='wave2D/wavesolver.py' target='_blank'>wavesolver.py</a><br>" | |||
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317 | ], | |||
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318 | "metadata": {}, | |||
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319 | "output_type": "display_data", | |||
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320 | "text": [ | |||
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321 | "wave2D/\n", | |||
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322 | " communicator.py\n", | |||
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323 | " parallelwave-mpi.py\n", | |||
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324 | " parallelwave.py\n", | |||
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325 | " RectPartitioner.py\n", | |||
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326 | " wavesolver.py" | |||
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327 | ] | |||
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328 | }, | |||
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329 | { | |||
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330 | "html": [ | |||
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331 | "workflow/<br>\n", | |||
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332 | " <a href='workflow/client.py' target='_blank'>client.py</a><br>\n", | |||
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333 | " <a href='workflow/job_wrapper.py' target='_blank'>job_wrapper.py</a><br>\n", | |||
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334 | " <a href='workflow/wmanager.py' target='_blank'>wmanager.py</a><br>" | |||
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335 | ], | |||
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336 | "metadata": {}, | |||
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337 | "output_type": "display_data", | |||
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338 | "text": [ | |||
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339 | "workflow/\n", | |||
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340 | " client.py\n", | |||
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341 | " job_wrapper.py\n", | |||
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342 | " wmanager.py" | |||
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343 | ] | |||
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344 | } | |||
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345 | ], | |||
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346 | "prompt_number": 13 | |||
74 | } |
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347 | } | |
75 | ], |
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348 | ], | |
76 | "metadata": {} |
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349 | "metadata": {} |
1 | NO CONTENT: file renamed from examples/Parallel Computing/options/Parallel MC Options.ipynb to examples/Parallel Computing/Monte Carlo Options.ipynb |
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NO CONTENT: file renamed from examples/Parallel Computing/options/Parallel MC Options.ipynb to examples/Parallel Computing/Monte Carlo Options.ipynb |
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