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lijin-THUlijin-THU
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添加了新的部分11.04-06，新的参考资料，添加了小部分内容
Former-commit-id: a8aef6b Former-commit-id: aecf763ed500068791c6ef717a80df7082689b11 [formerly b890c44a59d8139f7b7ac07a6ed9e92895b6ead9] [formerly 0389a0464d0fec70953ba428b2248a226b00536e [formerly 20c77c77003f0efe9c06d17fb28626ae46fbcf77]] [formerly d83c5bf8b79a628e7e90c0d04ec90843e1ccb3fd [formerly fc97437d2b135bca9b80d6bfeb5ca67183896b24] [formerly d1ba9f2d78079bdc372ea9432dbec1f65838d9a0 [formerly c221c43f4b8de1bfd20e9ab30b41c9908db38005]]] [formerly 017e739573df7e98dafe804e8e229333000b4c5e [formerly 4fb47603f649eeead5833b560773b29b21b739ec] [formerly 09f99a9f61668baae9ddfb7065b926231dd7bbce [formerly 015b8b2bdc6135c0be0c1873dd6e9e82d9181edd]] [formerly 2d69db058a77c47ccb911bd013868a68e99910ff [formerly c4bb0475ab35426b81b76c43c4c2dc0365b35147] [formerly 3c5cf6a51c564dddf4993d2a42e8e04bef428ab7 [formerly 9e440fb]]]] Former-commit-id: 26323ac95732acc6b8a50ae37e657daf94dab641 [formerly 3f3b67a6f9ed5045b08ed20249311fce48d832b1] [formerly a01edbe177af8ca27034342108e75d1eb52cb860 [formerly 06a51f08e5084758f7f9c07f6a99ca3a2abdea59]] [formerly 5c92ff318df581242d33873c2def48b343c7e3e6 [formerly f48eba62007e4e48efec964eca7b94451bc8426e] [formerly dba8289deb025490c9cfb9f23b2dbd1ec44ebd6e [formerly cb2e2ff8cfd9521a6b54afb6f5025f1e0225c315]]] Former-commit-id: 2ce9a18710f9521144945a7d3ea686700fdadff7 [formerly 0adcb5af2219b8f005a840377670590b2b2161be] [formerly 32e7600e0952c70fc6fb328b2617f9695113b8cc [formerly cc8d1ca956b7f47637ea7cdff0479069cc0efafd]] Former-commit-id: 8ca849160ce0fbe2a2a78f46059039d973341144 [formerly 5a104a10ee4c35a5829f67236c21d086d5f07b6e] Former-commit-id: ac34be9dab1d8da15e29eb8c4a5ea09b6c96ccc1
1 parent 08a9ae4 commit 9bb4e85

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‎04. scipy/04.01 scienticfic python overview.ipynb.REMOVED.git-id

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‎05. advanced python/05.02 interacting with the OS - os.ipynb.REMOVED.git-id

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‎09. theano/09.15 tensor module.ipynb

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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Theano 张量 tensor 模块 "
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"# Theano tensor 模块 "
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]
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},
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{

‎11. useful tools/11.04 glob.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# glob 模块：文件模式匹配"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"import glob"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"`glob` 模块提供了方便的文件模式匹配方法。\n",
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"\n",
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"例如，找到所有以 `.ipynb` 结尾的文件名："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['11.03 json.ipynb',\n",
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" '11.01 pprint.ipynb',\n",
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" '11.02 pickle and cpickle.ipynb',\n",
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" '11.04 glob.ipynb']"
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]
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},
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"execution_count": 2,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"glob.glob(\"*.ipynb\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"`glob` 函数支持三种格式的语法：\n",
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"\n",
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"- `*` 匹配单个或多个字符\n",
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"- `?` 匹配任意单个字符\n",
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"- `[]` 匹配指定范围内的字符，如：[0-9]匹配数字。\n",
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"\n",
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"假设我们要匹配第 09 节所有的 `.ipynb` 文件："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['../09. theano/09.05 configuration settings and compiling modes.ipynb',\n",
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" '../09. theano/09.03 gpu on windows.ipynb',\n",
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" '../09. theano/09.07 loop with scan.ipynb',\n",
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" '../09. theano/09.13 modern net on mnist.ipynb',\n",
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" '../09. theano/09.11 net on mnist.ipynb',\n",
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" '../09. theano/09.09 logistic regression .ipynb',\n",
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" '../09. theano/09.10 softmax on mnist.ipynb',\n",
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" '../09. theano/09.01 introduction and installation.ipynb',\n",
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" '../09. theano/09.02 theano basics.ipynb',\n",
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" '../09. theano/09.12 random streams.ipynb',\n",
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" '../09. theano/09.04 graph structures.ipynb',\n",
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" '../09. theano/09.14 convolutional net on mnist.ipynb',\n",
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" '../09. theano/09.08 linear regression.ipynb',\n",
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" '../09. theano/09.15 tensor module.ipynb',\n",
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" '../09. theano/09.06 conditions in theano.ipynb']"
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]
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},
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"execution_count": 3,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"glob.glob(\"../09*/*.ipynb\")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"匹配数字开头的文件夹名："
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"['../04. scipy',\n",
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" '../02. python essentials',\n",
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" '../07. interfacing with other languages',\n",
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" '../11. useful tools',\n",
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" '../05. advanced python',\n",
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" '../10. something interesting',\n",
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" '../03. numpy',\n",
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" '../06. matplotlib',\n",
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" '../08. object-oriented programming',\n",
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" '../01. python tools',\n",
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" '../09. theano']"
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"glob.glob(\"../[0-9]*\")"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 2",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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}

‎11. useful tools/11.05 shutil.ipynb.REMOVED.git-id

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‎11. useful tools/11.06 gzip, zipfile, tarfile.ipynb.REMOVED.git-id

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‎README.md.REMOVED.git-id

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‎generate index.ipynb.REMOVED.git-id

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‎index.ipynb.REMOVED.git-id

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‎index.md.REMOVED.git-id

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