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.ipynb_checkpoints/Untitled-checkpoint.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8def5e67-36fc-405b-a915-05328f9737b9",
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"metadata": {},
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"outputs": [],
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"source": []
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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 [conda env:base] *",
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"language": "python",
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"name": "conda-base-py"
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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": 3
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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": "ipython3",
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"version": "3.12.7"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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.ipynb_checkpoints/sale_forecasting-checkpoint.ipynb
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{
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"cells": [],
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"metadata": {},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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Untitled.ipynb
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|
| 1 |
+
{
|
| 2 |
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"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": 14,
|
| 6 |
+
"id": "928e89bd-4a6d-4290-a0b0-259804865c5a",
|
| 7 |
+
"metadata": {},
|
| 8 |
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"outputs": [
|
| 9 |
+
{
|
| 10 |
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"name": "stdout",
|
| 11 |
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"output_type": "stream",
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| 12 |
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"text": [
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| 13 |
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"Channels:\n",
|
| 14 |
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" - defaults\n",
|
| 15 |
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"Platform: win-64\n",
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| 16 |
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"Collecting package metadata (repodata.json): ...working... done\n",
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| 17 |
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"Solving environment: ...working... done\n",
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| 18 |
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"\n",
|
| 19 |
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"## Package Plan ##\n",
|
| 20 |
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"\n",
|
| 21 |
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" environment location: C:\\Users\\acer\\anaconda3\\envs\\myenv\n",
|
| 22 |
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"\n",
|
| 23 |
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" added / updated specs:\n",
|
| 24 |
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" - flask\n",
|
| 25 |
+
" - matplotlib\n",
|
| 26 |
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" - numpy\n",
|
| 27 |
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" - pandas\n",
|
| 28 |
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" - python=3.10\n",
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| 29 |
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" - scikit-learn\n",
|
| 30 |
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" - tensorflow\n",
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| 31 |
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"\n",
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| 32 |
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"\n",
|
| 33 |
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"The following NEW packages will be INSTALLED:\n",
|
| 34 |
+
"\n",
|
| 35 |
+
" _tflow_select pkgs/main/win-64::_tflow_select-2.3.0-mkl \n",
|
| 36 |
+
" abseil-cpp pkgs/main/win-64::abseil-cpp-20211102.0-hd77b12b_0 \n",
|
| 37 |
+
" absl-py pkgs/main/win-64::absl-py-2.1.0-py310haa95532_0 \n",
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| 38 |
+
" aiohappyeyeballs pkgs/main/win-64::aiohappyeyeballs-2.4.4-py310haa95532_0 \n",
|
| 39 |
+
" aiohttp pkgs/main/win-64::aiohttp-3.11.10-py310h827c3e9_0 \n",
|
| 40 |
+
" aiosignal pkgs/main/noarch::aiosignal-1.2.0-pyhd3eb1b0_0 \n",
|
| 41 |
+
" astunparse pkgs/main/noarch::astunparse-1.6.3-py_0 \n",
|
| 42 |
+
" async-timeout pkgs/main/win-64::async-timeout-5.0.1-py310haa95532_0 \n",
|
| 43 |
+
" attrs pkgs/main/win-64::attrs-24.3.0-py310haa95532_0 \n",
|
| 44 |
+
" blas pkgs/main/win-64::blas-1.0-mkl \n",
|
| 45 |
+
" blinker pkgs/main/win-64::blinker-1.9.0-py310haa95532_0 \n",
|
| 46 |
+
" bottleneck pkgs/main/win-64::bottleneck-1.4.2-py310hc99e966_0 \n",
|
| 47 |
+
" brotli-python pkgs/main/win-64::brotli-python-1.0.9-py310h5da7b33_9 \n",
|
| 48 |
+
" bzip2 pkgs/main/win-64::bzip2-1.0.8-h2bbff1b_6 \n",
|
| 49 |
+
" c-ares pkgs/main/win-64::c-ares-1.19.1-h2bbff1b_0 \n",
|
| 50 |
+
" ca-certificates pkgs/main/win-64::ca-certificates-2024.12.31-haa95532_0 \n",
|
| 51 |
+
" cachetools pkgs/main/win-64::cachetools-5.5.1-py310haa95532_0 \n",
|
| 52 |
+
" certifi pkgs/main/win-64::certifi-2025.1.31-py310haa95532_0 \n",
|
| 53 |
+
" cffi pkgs/main/win-64::cffi-1.17.1-py310h827c3e9_1 \n",
|
| 54 |
+
" charset-normalizer pkgs/main/noarch::charset-normalizer-3.3.2-pyhd3eb1b0_0 \n",
|
| 55 |
+
" click pkgs/main/win-64::click-8.1.7-py310haa95532_0 \n",
|
| 56 |
+
" colorama pkgs/main/win-64::colorama-0.4.6-py310haa95532_0 \n",
|
| 57 |
+
" contourpy pkgs/main/win-64::contourpy-1.3.1-py310h214f63a_0 \n",
|
| 58 |
+
" cryptography pkgs/main/win-64::cryptography-41.0.3-py310h3438e0d_0 \n",
|
| 59 |
+
" cycler pkgs/main/noarch::cycler-0.11.0-pyhd3eb1b0_0 \n",
|
| 60 |
+
" flask pkgs/main/win-64::flask-3.1.0-py310haa95532_0 \n",
|
| 61 |
+
" flatbuffers pkgs/main/win-64::flatbuffers-2.0.0-h6c2663c_0 \n",
|
| 62 |
+
" fonttools pkgs/main/win-64::fonttools-4.55.3-py310h827c3e9_0 \n",
|
| 63 |
+
" freetype pkgs/main/win-64::freetype-2.12.1-ha860e81_0 \n",
|
| 64 |
+
" frozenlist pkgs/main/win-64::frozenlist-1.5.0-py310h827c3e9_0 \n",
|
| 65 |
+
" gast pkgs/main/noarch::gast-0.4.0-pyhd3eb1b0_0 \n",
|
| 66 |
+
" giflib pkgs/main/win-64::giflib-5.2.2-h7edc060_0 \n",
|
| 67 |
+
" google-auth pkgs/main/win-64::google-auth-2.38.0-py310haa95532_0 \n",
|
| 68 |
+
" google-auth-oauth~ pkgs/main/noarch::google-auth-oauthlib-0.4.4-pyhd3eb1b0_0 \n",
|
| 69 |
+
" google-pasta pkgs/main/noarch::google-pasta-0.2.0-pyhd3eb1b0_0 \n",
|
| 70 |
+
" grpc-cpp pkgs/main/win-64::grpc-cpp-1.48.2-hf108199_0 \n",
|
| 71 |
+
" grpcio pkgs/main/win-64::grpcio-1.48.2-py310hf108199_0 \n",
|
| 72 |
+
" h5py pkgs/main/win-64::h5py-3.12.1-py310h535c9fb_1 \n",
|
| 73 |
+
" hdf5 pkgs/main/win-64::hdf5-1.14.5-h44af213_0 \n",
|
| 74 |
+
" icc_rt pkgs/main/win-64::icc_rt-2022.1.0-h6049295_2 \n",
|
| 75 |
+
" icu pkgs/main/win-64::icu-58.2-ha925a31_3 \n",
|
| 76 |
+
" idna pkgs/main/win-64::idna-3.7-py310haa95532_0 \n",
|
| 77 |
+
" intel-openmp pkgs/main/win-64::intel-openmp-2023.1.0-h59b6b97_46320 \n",
|
| 78 |
+
" itsdangerous pkgs/main/win-64::itsdangerous-2.2.0-py310haa95532_0 \n",
|
| 79 |
+
" jinja2 pkgs/main/win-64::jinja2-3.1.5-py310haa95532_0 \n",
|
| 80 |
+
" joblib pkgs/main/win-64::joblib-1.4.2-py310haa95532_0 \n",
|
| 81 |
+
" jpeg pkgs/main/win-64::jpeg-9e-h827c3e9_3 \n",
|
| 82 |
+
" keras pkgs/main/win-64::keras-2.10.0-py310haa95532_0 \n",
|
| 83 |
+
" keras-preprocessi~ pkgs/main/noarch::keras-preprocessing-1.1.2-pyhd3eb1b0_0 \n",
|
| 84 |
+
" kiwisolver pkgs/main/win-64::kiwisolver-1.4.8-py310h5da7b33_0 \n",
|
| 85 |
+
" krb5 pkgs/main/win-64::krb5-1.20.1-h5b6d351_1 \n",
|
| 86 |
+
" lcms2 pkgs/main/win-64::lcms2-2.16-hb4a4139_0 \n",
|
| 87 |
+
" lerc pkgs/main/win-64::lerc-4.0.0-h5da7b33_0 \n",
|
| 88 |
+
" libclang pkgs/main/win-64::libclang-14.0.6-default_hb5a9fac_2 \n",
|
| 89 |
+
" libclang13 pkgs/main/win-64::libclang13-14.0.6-default_h8e68704_2 \n",
|
| 90 |
+
" libcurl pkgs/main/win-64::libcurl-8.9.1-h0416ee5_0 \n",
|
| 91 |
+
" libdeflate pkgs/main/win-64::libdeflate-1.22-h5bf469e_0 \n",
|
| 92 |
+
" libffi pkgs/main/win-64::libffi-3.4.4-hd77b12b_1 \n",
|
| 93 |
+
" libpng pkgs/main/win-64::libpng-1.6.39-h8cc25b3_0 \n",
|
| 94 |
+
" libpq pkgs/main/win-64::libpq-12.15-hb652d5d_1 \n",
|
| 95 |
+
" libprotobuf pkgs/main/win-64::libprotobuf-3.20.3-h23ce68f_0 \n",
|
| 96 |
+
" libssh2 pkgs/main/win-64::libssh2-1.10.0-hcd4344a_2 \n",
|
| 97 |
+
" libtiff pkgs/main/win-64::libtiff-4.5.1-h44ae7cf_1 \n",
|
| 98 |
+
" libwebp-base pkgs/main/win-64::libwebp-base-1.3.2-h3d04722_1 \n",
|
| 99 |
+
" lz4-c pkgs/main/win-64::lz4-c-1.9.4-h2bbff1b_1 \n",
|
| 100 |
+
" markdown pkgs/main/win-64::markdown-3.4.1-py310haa95532_0 \n",
|
| 101 |
+
" markupsafe pkgs/main/win-64::markupsafe-3.0.2-py310h827c3e9_0 \n",
|
| 102 |
+
" matplotlib pkgs/main/win-64::matplotlib-3.10.0-py310haa95532_0 \n",
|
| 103 |
+
" matplotlib-base pkgs/main/win-64::matplotlib-base-3.10.0-py310he19b0ae_0 \n",
|
| 104 |
+
" mkl pkgs/main/win-64::mkl-2023.1.0-h6b88ed4_46358 \n",
|
| 105 |
+
" mkl-service pkgs/main/win-64::mkl-service-2.4.0-py310h827c3e9_2 \n",
|
| 106 |
+
" mkl_fft pkgs/main/win-64::mkl_fft-1.3.11-py310h827c3e9_0 \n",
|
| 107 |
+
" mkl_random pkgs/main/win-64::mkl_random-1.2.8-py310hc64d2fc_0 \n",
|
| 108 |
+
" multidict pkgs/main/win-64::multidict-6.1.0-py310h827c3e9_0 \n",
|
| 109 |
+
" numexpr pkgs/main/win-64::numexpr-2.10.1-py310h4cd664f_0 \n",
|
| 110 |
+
" numpy pkgs/main/win-64::numpy-1.26.4-py310h055cbcc_0 \n",
|
| 111 |
+
" numpy-base pkgs/main/win-64::numpy-base-1.26.4-py310h65a83cf_0 \n",
|
| 112 |
+
" oauthlib pkgs/main/win-64::oauthlib-3.2.2-py310haa95532_0 \n",
|
| 113 |
+
" openjpeg pkgs/main/win-64::openjpeg-2.5.2-hae555c5_0 \n",
|
| 114 |
+
" openssl pkgs/main/win-64::openssl-1.1.1w-h2bbff1b_0 \n",
|
| 115 |
+
" opt_einsum pkgs/main/noarch::opt_einsum-3.3.0-pyhd3eb1b0_1 \n",
|
| 116 |
+
" packaging pkgs/main/win-64::packaging-24.2-py310haa95532_0 \n",
|
| 117 |
+
" pandas pkgs/main/win-64::pandas-2.2.3-py310h5da7b33_0 \n",
|
| 118 |
+
" pillow pkgs/main/win-64::pillow-11.1.0-py310h096bfcc_0 \n",
|
| 119 |
+
" pip pkgs/main/win-64::pip-25.0-py310haa95532_0 \n",
|
| 120 |
+
" ply pkgs/main/win-64::ply-3.11-py310haa95532_0 \n",
|
| 121 |
+
" propcache pkgs/main/win-64::propcache-0.2.0-py310h827c3e9_0 \n",
|
| 122 |
+
" protobuf pkgs/main/win-64::protobuf-3.20.3-py310hd77b12b_0 \n",
|
| 123 |
+
" pyasn1 pkgs/main/noarch::pyasn1-0.4.8-pyhd3eb1b0_0 \n",
|
| 124 |
+
" pyasn1-modules pkgs/main/noarch::pyasn1-modules-0.2.8-py_0 \n",
|
| 125 |
+
" pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0 \n",
|
| 126 |
+
" pyjwt pkgs/main/win-64::pyjwt-2.10.1-py310haa95532_0 \n",
|
| 127 |
+
" pyopenssl pkgs/main/win-64::pyopenssl-23.2.0-py310haa95532_0 \n",
|
| 128 |
+
" pyparsing pkgs/main/win-64::pyparsing-3.2.0-py310haa95532_0 \n",
|
| 129 |
+
" pyqt pkgs/main/win-64::pyqt-5.15.10-py310h5da7b33_1 \n",
|
| 130 |
+
" pyqt5-sip pkgs/main/win-64::pyqt5-sip-12.13.0-py310h827c3e9_1 \n",
|
| 131 |
+
" pysocks pkgs/main/win-64::pysocks-1.7.1-py310haa95532_0 \n",
|
| 132 |
+
" python pkgs/main/win-64::python-3.10.13-h966fe2a_0 \n",
|
| 133 |
+
" python-dateutil pkgs/main/win-64::python-dateutil-2.9.0post0-py310haa95532_2 \n",
|
| 134 |
+
" python-flatbuffers pkgs/main/win-64::python-flatbuffers-24.3.25-py310haa95532_0 \n",
|
| 135 |
+
" python-tzdata pkgs/main/noarch::python-tzdata-2023.3-pyhd3eb1b0_0 \n",
|
| 136 |
+
" pytz pkgs/main/win-64::pytz-2024.1-py310haa95532_0 \n",
|
| 137 |
+
" qt-main pkgs/main/win-64::qt-main-5.15.2-h6072711_9 \n",
|
| 138 |
+
" re2 pkgs/main/win-64::re2-2022.04.01-hd77b12b_0 \n",
|
| 139 |
+
" requests pkgs/main/win-64::requests-2.32.3-py310haa95532_1 \n",
|
| 140 |
+
" requests-oauthlib pkgs/main/win-64::requests-oauthlib-2.0.0-py310haa95532_0 \n",
|
| 141 |
+
" rsa pkgs/main/noarch::rsa-4.7.2-pyhd3eb1b0_1 \n",
|
| 142 |
+
" scikit-learn pkgs/main/win-64::scikit-learn-1.6.1-py310h585ebfc_0 \n",
|
| 143 |
+
" scipy pkgs/main/win-64::scipy-1.15.1-py310h8640f81_0 \n",
|
| 144 |
+
" setuptools pkgs/main/win-64::setuptools-75.8.0-py310haa95532_0 \n",
|
| 145 |
+
" sip pkgs/main/win-64::sip-6.7.12-py310h5da7b33_1 \n",
|
| 146 |
+
" six pkgs/main/noarch::six-1.16.0-pyhd3eb1b0_1 \n",
|
| 147 |
+
" snappy pkgs/main/win-64::snappy-1.2.1-hcdb6601_0 \n",
|
| 148 |
+
" sqlite pkgs/main/win-64::sqlite-3.45.3-h2bbff1b_0 \n",
|
| 149 |
+
" tbb pkgs/main/win-64::tbb-2021.8.0-h59b6b97_0 \n",
|
| 150 |
+
" tensorboard pkgs/main/win-64::tensorboard-2.10.0-py310haa95532_0 \n",
|
| 151 |
+
" tensorboard-data-~ pkgs/main/win-64::tensorboard-data-server-0.6.1-py310haa95532_0 \n",
|
| 152 |
+
" tensorboard-plugi~ pkgs/main/win-64::tensorboard-plugin-wit-1.8.1-py310haa95532_0 \n",
|
| 153 |
+
" tensorflow pkgs/main/win-64::tensorflow-2.10.0-mkl_py310hd99672f_0 \n",
|
| 154 |
+
" tensorflow-base pkgs/main/win-64::tensorflow-base-2.10.0-mkl_py310h6a7f48e_0 \n",
|
| 155 |
+
" tensorflow-estima~ pkgs/main/win-64::tensorflow-estimator-2.10.0-py310haa95532_0 \n",
|
| 156 |
+
" termcolor pkgs/main/win-64::termcolor-2.1.0-py310haa95532_0 \n",
|
| 157 |
+
" threadpoolctl pkgs/main/win-64::threadpoolctl-3.5.0-py310h9909e9c_0 \n",
|
| 158 |
+
" tk pkgs/main/win-64::tk-8.6.14-h0416ee5_0 \n",
|
| 159 |
+
" tomli pkgs/main/win-64::tomli-2.0.1-py310haa95532_0 \n",
|
| 160 |
+
" tornado pkgs/main/win-64::tornado-6.4.2-py310h827c3e9_0 \n",
|
| 161 |
+
" typing-extensions pkgs/main/win-64::typing-extensions-4.12.2-py310haa95532_0 \n",
|
| 162 |
+
" typing_extensions pkgs/main/win-64::typing_extensions-4.12.2-py310haa95532_0 \n",
|
| 163 |
+
" tzdata pkgs/main/noarch::tzdata-2025a-h04d1e81_0 \n",
|
| 164 |
+
" unicodedata2 pkgs/main/win-64::unicodedata2-15.1.0-py310h827c3e9_1 \n",
|
| 165 |
+
" urllib3 pkgs/main/win-64::urllib3-2.3.0-py310haa95532_0 \n",
|
| 166 |
+
" vc pkgs/main/win-64::vc-14.42-haa95532_3 \n",
|
| 167 |
+
" vs2015_runtime pkgs/main/win-64::vs2015_runtime-14.42.34433-he0abc0d_3 \n",
|
| 168 |
+
" werkzeug pkgs/main/win-64::werkzeug-3.1.3-py310haa95532_0 \n",
|
| 169 |
+
" wheel pkgs/main/win-64::wheel-0.45.1-py310haa95532_0 \n",
|
| 170 |
+
" win_inet_pton pkgs/main/win-64::win_inet_pton-1.1.0-py310haa95532_0 \n",
|
| 171 |
+
" wrapt pkgs/main/win-64::wrapt-1.17.0-py310h827c3e9_0 \n",
|
| 172 |
+
" xz pkgs/main/win-64::xz-5.4.6-h8cc25b3_1 \n",
|
| 173 |
+
" yarl pkgs/main/win-64::yarl-1.18.0-py310h827c3e9_0 \n",
|
| 174 |
+
" zlib pkgs/main/win-64::zlib-1.2.13-h8cc25b3_1 \n",
|
| 175 |
+
" zstd pkgs/main/win-64::zstd-1.5.6-h8880b57_0 \n",
|
| 176 |
+
"\n",
|
| 177 |
+
"\n",
|
| 178 |
+
"\n",
|
| 179 |
+
"Downloading and Extracting Packages: ...working... done\n",
|
| 180 |
+
"Preparing transaction: done\n",
|
| 181 |
+
"Verifying transaction: done\n",
|
| 182 |
+
"Executing transaction: done\n",
|
| 183 |
+
"#\n",
|
| 184 |
+
"# To activate this environment, use\n",
|
| 185 |
+
"#\n",
|
| 186 |
+
"# $ conda activate myenv\n",
|
| 187 |
+
"#\n",
|
| 188 |
+
"# To deactivate an active environment, use\n",
|
| 189 |
+
"#\n",
|
| 190 |
+
"# $ conda deactivate\n",
|
| 191 |
+
"\n"
|
| 192 |
+
]
|
| 193 |
+
}
|
| 194 |
+
],
|
| 195 |
+
"source": [
|
| 196 |
+
"!conda create -n myenv python=3.10 pandas numpy scikit-learn tensorflow flask matplotlib -y\n",
|
| 197 |
+
"!conda activate myenv\n"
|
| 198 |
+
]
|
| 199 |
+
},
|
| 200 |
+
{
|
| 201 |
+
"cell_type": "code",
|
| 202 |
+
"execution_count": 1,
|
| 203 |
+
"id": "a4b85eab-38e9-47f0-a64d-ca55b9424919",
|
| 204 |
+
"metadata": {},
|
| 205 |
+
"outputs": [
|
| 206 |
+
{
|
| 207 |
+
"ename": "ModuleNotFoundError",
|
| 208 |
+
"evalue": "No module named 'tensorflow'",
|
| 209 |
+
"output_type": "error",
|
| 210 |
+
"traceback": [
|
| 211 |
+
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
| 212 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
|
| 213 |
+
"Cell \u001b[1;32mIn[1], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mflask\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n",
|
| 214 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
|
| 215 |
+
]
|
| 216 |
+
}
|
| 217 |
+
],
|
| 218 |
+
"source": [
|
| 219 |
+
"import pandas as pd\n",
|
| 220 |
+
"import numpy as np\n",
|
| 221 |
+
"import sklearn\n",
|
| 222 |
+
"import tensorflow as tf\n",
|
| 223 |
+
"import flask\n",
|
| 224 |
+
"import matplotlib.pyplot as plt\n",
|
| 225 |
+
"\n",
|
| 226 |
+
"print(\"All libraries are working correctly!\")\n"
|
| 227 |
+
]
|
| 228 |
+
},
|
| 229 |
+
{
|
| 230 |
+
"cell_type": "code",
|
| 231 |
+
"execution_count": 3,
|
| 232 |
+
"id": "d888e3f5-8aa2-4d10-a454-2fefa58dfb2a",
|
| 233 |
+
"metadata": {},
|
| 234 |
+
"outputs": [
|
| 235 |
+
{
|
| 236 |
+
"name": "stdout",
|
| 237 |
+
"output_type": "stream",
|
| 238 |
+
"text": [
|
| 239 |
+
"All libraries are working correctly!\n"
|
| 240 |
+
]
|
| 241 |
+
}
|
| 242 |
+
],
|
| 243 |
+
"source": [
|
| 244 |
+
"import pandas as pd\n",
|
| 245 |
+
"import numpy as np\n",
|
| 246 |
+
"import sklearn\n",
|
| 247 |
+
"import flask\n",
|
| 248 |
+
"import matplotlib.pyplot as plt\n",
|
| 249 |
+
"\n",
|
| 250 |
+
"print(\"All libraries are working correctly!\")\n"
|
| 251 |
+
]
|
| 252 |
+
},
|
| 253 |
+
{
|
| 254 |
+
"cell_type": "code",
|
| 255 |
+
"execution_count": 5,
|
| 256 |
+
"id": "e81ec52b-879f-4f43-9c06-68d6e23d4c6f",
|
| 257 |
+
"metadata": {},
|
| 258 |
+
"outputs": [
|
| 259 |
+
{
|
| 260 |
+
"ename": "ModuleNotFoundError",
|
| 261 |
+
"evalue": "No module named 'tensorflow'",
|
| 262 |
+
"output_type": "error",
|
| 263 |
+
"traceback": [
|
| 264 |
+
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
| 265 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
|
| 266 |
+
"Cell \u001b[1;32mIn[5], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mAll libraries are working correctly!\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n",
|
| 267 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
|
| 268 |
+
]
|
| 269 |
+
}
|
| 270 |
+
],
|
| 271 |
+
"source": [
|
| 272 |
+
"\n",
|
| 273 |
+
"import tensorflow as tf\n",
|
| 274 |
+
"\n",
|
| 275 |
+
"\n",
|
| 276 |
+
"print(\"All libraries are working correctly!\")\n"
|
| 277 |
+
]
|
| 278 |
+
},
|
| 279 |
+
{
|
| 280 |
+
"cell_type": "code",
|
| 281 |
+
"execution_count": 7,
|
| 282 |
+
"id": "86fce768-4f2d-47d5-b285-df4efb0f6b7b",
|
| 283 |
+
"metadata": {},
|
| 284 |
+
"outputs": [
|
| 285 |
+
{
|
| 286 |
+
"name": "stdout",
|
| 287 |
+
"output_type": "stream",
|
| 288 |
+
"text": [
|
| 289 |
+
"Channels:\n",
|
| 290 |
+
" - defaults\n",
|
| 291 |
+
"Platform: win-64\n",
|
| 292 |
+
"Collecting package metadata (repodata.json): ...working... done\n",
|
| 293 |
+
"Solving environment: ...working... failed\n"
|
| 294 |
+
]
|
| 295 |
+
},
|
| 296 |
+
{
|
| 297 |
+
"name": "stderr",
|
| 298 |
+
"output_type": "stream",
|
| 299 |
+
"text": [
|
| 300 |
+
"warning libmamba Added empty dependency for problem type SOLVER_RULE_UPDATE\n",
|
| 301 |
+
"\n",
|
| 302 |
+
"LibMambaUnsatisfiableError: Encountered problems while solving:\n",
|
| 303 |
+
" - nothing provides bleach 1.5.0 needed by tensorboard-1.7.0-py35he025d50_1\n",
|
| 304 |
+
"\n",
|
| 305 |
+
"Could not solve for environment specs\n",
|
| 306 |
+
"The following packages are incompatible\n",
|
| 307 |
+
"\\u251c\\u2500 pin-1 is installable and it requires\n",
|
| 308 |
+
"\\u2502 \\u2514\\u2500 python 3.12.* , which can be installed;\n",
|
| 309 |
+
"\\u2514\\u2500 tensorflow is not installable because there are no viable options\n",
|
| 310 |
+
" \\u251c\\u2500 tensorflow [1.10.0|1.9.0] would require\n",
|
| 311 |
+
" \\u2502 \\u2514\\u2500 python 3.5.* , which conflicts with any installable versions previously reported;\n",
|
| 312 |
+
" \\u251c\\u2500 tensorflow [1.10.0|1.11.0|...|2.1.0] would require\n",
|
| 313 |
+
" \\u2502 \\u2514\\u2500 python 3.6.* , which conflicts with any installable versions previously reported;\n",
|
| 314 |
+
" \\u251c\\u2500 tensorflow [1.13.1|1.14.0|...|2.9.1] would require\n",
|
| 315 |
+
" \\u2502 \\u2514\\u2500 python 3.7.* , which conflicts with any installable versions previously reported;\n",
|
| 316 |
+
" \\u251c\\u2500 tensorflow [1.7.0|1.7.1|1.8.0] would require\n",
|
| 317 |
+
" \\u2502 \\u2514\\u2500 tensorboard [>=1.7.0,<1.8.0 |>=1.8.0,<1.9.0 ], which requires\n",
|
| 318 |
+
" \\u2502 \\u2514\\u2500 bleach 1.5.0 , which does not exist (perhaps a missing channel);\n",
|
| 319 |
+
" \\u251c\\u2500 tensorflow [2.10.0|2.8.2|2.9.1] would require\n",
|
| 320 |
+
" \\u2502 \\u2514\\u2500 python 3.10.* , which conflicts with any installable versions previously reported;\n",
|
| 321 |
+
" \\u251c\\u2500 tensorflow [2.10.0|2.3.0|...|2.9.1] would require\n",
|
| 322 |
+
" \\u2502 \\u2514\\u2500 python 3.8.* , which conflicts with any installable versions previously reported;\n",
|
| 323 |
+
" \\u2514\\u2500 tensorflow [2.10.0|2.5.0|2.6.0|2.8.2|2.9.1] would require\n",
|
| 324 |
+
" \\u2514\\u2500 python 3.9.* , which conflicts with any installable versions previously reported.\n",
|
| 325 |
+
"\n",
|
| 326 |
+
"Pins seem to be involved in the conflict. Currently pinned specs:\n",
|
| 327 |
+
" - python 3.12.* (labeled as 'pin-1')\n",
|
| 328 |
+
"\n",
|
| 329 |
+
"\n"
|
| 330 |
+
]
|
| 331 |
+
}
|
| 332 |
+
],
|
| 333 |
+
"source": [
|
| 334 |
+
"!conda install tensorflow -y\n"
|
| 335 |
+
]
|
| 336 |
+
},
|
| 337 |
+
{
|
| 338 |
+
"cell_type": "code",
|
| 339 |
+
"execution_count": 9,
|
| 340 |
+
"id": "df0c53b0-622d-44b5-872f-2f70cfcf0849",
|
| 341 |
+
"metadata": {},
|
| 342 |
+
"outputs": [
|
| 343 |
+
{
|
| 344 |
+
"ename": "error",
|
| 345 |
+
"evalue": "incomplete escape \\U at position 28",
|
| 346 |
+
"output_type": "error",
|
| 347 |
+
"traceback": [
|
| 348 |
+
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
| 349 |
+
"\u001b[1;31merror\u001b[0m Traceback (most recent call last)",
|
| 350 |
+
"Cell \u001b[1;32mIn[9], line 1\u001b[0m\n\u001b[1;32m----> 1\u001b[0m get_ipython()\u001b[38;5;241m.\u001b[39mrun_line_magic(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mconda\u001b[39m\u001b[38;5;124m'\u001b[39m, \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mcreate --name tf_env python=3.10 -y\u001b[39m\u001b[38;5;124m'\u001b[39m)\n",
|
| 351 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\interactiveshell.py:2480\u001b[0m, in \u001b[0;36mInteractiveShell.run_line_magic\u001b[1;34m(self, magic_name, line, _stack_depth)\u001b[0m\n\u001b[0;32m 2478\u001b[0m kwargs[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mlocal_ns\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mget_local_scope(stack_depth)\n\u001b[0;32m 2479\u001b[0m \u001b[38;5;28;01mwith\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mbuiltin_trap:\n\u001b[1;32m-> 2480\u001b[0m result \u001b[38;5;241m=\u001b[39m fn(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n\u001b[0;32m 2482\u001b[0m \u001b[38;5;66;03m# The code below prevents the output from being displayed\u001b[39;00m\n\u001b[0;32m 2483\u001b[0m \u001b[38;5;66;03m# when using magics with decorator @output_can_be_silenced\u001b[39;00m\n\u001b[0;32m 2484\u001b[0m \u001b[38;5;66;03m# when the last Python token in the expression is a ';'.\u001b[39;00m\n\u001b[0;32m 2485\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mgetattr\u001b[39m(fn, magic\u001b[38;5;241m.\u001b[39mMAGIC_OUTPUT_CAN_BE_SILENCED, \u001b[38;5;28;01mFalse\u001b[39;00m):\n",
|
| 352 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\packaging.py:30\u001b[0m, in \u001b[0;36mis_conda_environment.<locals>.wrapper\u001b[1;34m(*args, **kwargs)\u001b[0m\n\u001b[0;32m 25\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m Path(sys\u001b[38;5;241m.\u001b[39mprefix, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconda-meta\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mexists():\n\u001b[0;32m 26\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[0;32m 27\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe python kernel does not appear to be a conda environment. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 28\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mPlease use ``\u001b[39m\u001b[38;5;124m%\u001b[39m\u001b[38;5;124mpip install`` instead.\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 29\u001b[0m )\n\u001b[1;32m---> 30\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m func(\u001b[38;5;241m*\u001b[39margs, \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39mkwargs)\n",
|
| 353 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\packaging.py:128\u001b[0m, in \u001b[0;36mPackagingMagics.conda\u001b[1;34m(self, line)\u001b[0m\n\u001b[0;32m 120\u001b[0m \u001b[38;5;129m@line_magic\u001b[39m\n\u001b[0;32m 121\u001b[0m \u001b[38;5;129m@is_conda_environment\u001b[39m\n\u001b[0;32m 122\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21mconda\u001b[39m(\u001b[38;5;28mself\u001b[39m, line):\n\u001b[0;32m 123\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Run the conda package manager within the current kernel.\u001b[39;00m\n\u001b[0;32m 124\u001b[0m \n\u001b[0;32m 125\u001b[0m \u001b[38;5;124;03m Usage:\u001b[39;00m\n\u001b[0;32m 126\u001b[0m \u001b[38;5;124;03m %conda install [pkgs]\u001b[39;00m\n\u001b[0;32m 127\u001b[0m \u001b[38;5;124;03m \"\"\"\u001b[39;00m\n\u001b[1;32m--> 128\u001b[0m conda \u001b[38;5;241m=\u001b[39m _get_conda_like_executable(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconda\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m 129\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_run_command(conda, line)\n",
|
| 354 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\site-packages\\IPython\\core\\magics\\packaging.py:53\u001b[0m, in \u001b[0;36m_get_conda_like_executable\u001b[1;34m(command)\u001b[0m\n\u001b[0;32m 50\u001b[0m \u001b[38;5;66;03m# Otherwise, attempt to extract the executable from conda history.\u001b[39;00m\n\u001b[0;32m 51\u001b[0m \u001b[38;5;66;03m# This applies in any conda environment.\u001b[39;00m\n\u001b[0;32m 52\u001b[0m history \u001b[38;5;241m=\u001b[39m Path(sys\u001b[38;5;241m.\u001b[39mprefix, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mconda-meta\u001b[39m\u001b[38;5;124m\"\u001b[39m, \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mhistory\u001b[39m\u001b[38;5;124m\"\u001b[39m)\u001b[38;5;241m.\u001b[39mread_text(encoding\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mutf-8\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m---> 53\u001b[0m match \u001b[38;5;241m=\u001b[39m re\u001b[38;5;241m.\u001b[39msearch(\n\u001b[0;32m 54\u001b[0m \u001b[38;5;124mrf\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m^#\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124ms*cmd:\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124ms*(?P<command>.*\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mexecutable\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\\\u001b[39m\u001b[38;5;124ms[create|install]\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 55\u001b[0m history,\n\u001b[0;32m 56\u001b[0m flags\u001b[38;5;241m=\u001b[39mre\u001b[38;5;241m.\u001b[39mMULTILINE,\n\u001b[0;32m 57\u001b[0m )\n\u001b[0;32m 58\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m match:\n\u001b[0;32m 59\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m match\u001b[38;5;241m.\u001b[39mgroupdict()[\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcommand\u001b[39m\u001b[38;5;124m\"\u001b[39m]\n",
|
| 355 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\__init__.py:177\u001b[0m, in \u001b[0;36msearch\u001b[1;34m(pattern, string, flags)\u001b[0m\n\u001b[0;32m 174\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21msearch\u001b[39m(pattern, string, flags\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0\u001b[39m):\n\u001b[0;32m 175\u001b[0m \u001b[38;5;250m \u001b[39m\u001b[38;5;124;03m\"\"\"Scan through string looking for a match to the pattern, returning\u001b[39;00m\n\u001b[0;32m 176\u001b[0m \u001b[38;5;124;03m a Match object, or None if no match was found.\"\"\"\u001b[39;00m\n\u001b[1;32m--> 177\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m _compile(pattern, flags)\u001b[38;5;241m.\u001b[39msearch(string)\n",
|
| 356 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\__init__.py:307\u001b[0m, in \u001b[0;36m_compile\u001b[1;34m(pattern, flags)\u001b[0m\n\u001b[0;32m 301\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mwarnings\u001b[39;00m\n\u001b[0;32m 302\u001b[0m warnings\u001b[38;5;241m.\u001b[39mwarn(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mThe re.TEMPLATE/re.T flag is deprecated \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 303\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mas it is an undocumented flag \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 304\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mwithout an obvious purpose. \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[0;32m 305\u001b[0m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mDon\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt use it.\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 306\u001b[0m \u001b[38;5;167;01mDeprecationWarning\u001b[39;00m)\n\u001b[1;32m--> 307\u001b[0m p \u001b[38;5;241m=\u001b[39m _compiler\u001b[38;5;241m.\u001b[39mcompile(pattern, flags)\n\u001b[0;32m 308\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m flags \u001b[38;5;241m&\u001b[39m DEBUG:\n\u001b[0;32m 309\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m p\n",
|
| 357 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_compiler.py:745\u001b[0m, in \u001b[0;36mcompile\u001b[1;34m(p, flags)\u001b[0m\n\u001b[0;32m 743\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m isstring(p):\n\u001b[0;32m 744\u001b[0m pattern \u001b[38;5;241m=\u001b[39m p\n\u001b[1;32m--> 745\u001b[0m p \u001b[38;5;241m=\u001b[39m _parser\u001b[38;5;241m.\u001b[39mparse(p, flags)\n\u001b[0;32m 746\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[0;32m 747\u001b[0m pattern \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n",
|
| 358 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:979\u001b[0m, in \u001b[0;36mparse\u001b[1;34m(str, flags, state)\u001b[0m\n\u001b[0;32m 976\u001b[0m state\u001b[38;5;241m.\u001b[39mflags \u001b[38;5;241m=\u001b[39m flags\n\u001b[0;32m 977\u001b[0m state\u001b[38;5;241m.\u001b[39mstr \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mstr\u001b[39m\n\u001b[1;32m--> 979\u001b[0m p \u001b[38;5;241m=\u001b[39m _parse_sub(source, state, flags \u001b[38;5;241m&\u001b[39m SRE_FLAG_VERBOSE, \u001b[38;5;241m0\u001b[39m)\n\u001b[0;32m 980\u001b[0m p\u001b[38;5;241m.\u001b[39mstate\u001b[38;5;241m.\u001b[39mflags \u001b[38;5;241m=\u001b[39m fix_flags(\u001b[38;5;28mstr\u001b[39m, p\u001b[38;5;241m.\u001b[39mstate\u001b[38;5;241m.\u001b[39mflags)\n\u001b[0;32m 982\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m source\u001b[38;5;241m.\u001b[39mnext \u001b[38;5;129;01mis\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28;01mNone\u001b[39;00m:\n",
|
| 359 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:460\u001b[0m, in \u001b[0;36m_parse_sub\u001b[1;34m(source, state, verbose, nested)\u001b[0m\n\u001b[0;32m 458\u001b[0m start \u001b[38;5;241m=\u001b[39m source\u001b[38;5;241m.\u001b[39mtell()\n\u001b[0;32m 459\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m--> 460\u001b[0m itemsappend(_parse(source, state, verbose, nested \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m,\n\u001b[0;32m 461\u001b[0m \u001b[38;5;129;01mnot\u001b[39;00m nested \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m items))\n\u001b[0;32m 462\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m sourcematch(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m|\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m 463\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
|
| 360 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:862\u001b[0m, in \u001b[0;36m_parse\u001b[1;34m(source, state, verbose, nested, first)\u001b[0m\n\u001b[0;32m 859\u001b[0m group \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;01mNone\u001b[39;00m\n\u001b[0;32m 860\u001b[0m sub_verbose \u001b[38;5;241m=\u001b[39m ((verbose \u001b[38;5;129;01mor\u001b[39;00m (add_flags \u001b[38;5;241m&\u001b[39m SRE_FLAG_VERBOSE)) \u001b[38;5;129;01mand\u001b[39;00m\n\u001b[0;32m 861\u001b[0m \u001b[38;5;129;01mnot\u001b[39;00m (del_flags \u001b[38;5;241m&\u001b[39m SRE_FLAG_VERBOSE))\n\u001b[1;32m--> 862\u001b[0m p \u001b[38;5;241m=\u001b[39m _parse_sub(source, state, sub_verbose, nested \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m)\n\u001b[0;32m 863\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m source\u001b[38;5;241m.\u001b[39mmatch(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m 864\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m source\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmissing ), unterminated subpattern\u001b[39m\u001b[38;5;124m\"\u001b[39m,\n\u001b[0;32m 865\u001b[0m source\u001b[38;5;241m.\u001b[39mtell() \u001b[38;5;241m-\u001b[39m start)\n",
|
| 361 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:460\u001b[0m, in \u001b[0;36m_parse_sub\u001b[1;34m(source, state, verbose, nested)\u001b[0m\n\u001b[0;32m 458\u001b[0m start \u001b[38;5;241m=\u001b[39m source\u001b[38;5;241m.\u001b[39mtell()\n\u001b[0;32m 459\u001b[0m \u001b[38;5;28;01mwhile\u001b[39;00m \u001b[38;5;28;01mTrue\u001b[39;00m:\n\u001b[1;32m--> 460\u001b[0m itemsappend(_parse(source, state, verbose, nested \u001b[38;5;241m+\u001b[39m \u001b[38;5;241m1\u001b[39m,\n\u001b[0;32m 461\u001b[0m \u001b[38;5;129;01mnot\u001b[39;00m nested \u001b[38;5;129;01mand\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m items))\n\u001b[0;32m 462\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m sourcematch(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m|\u001b[39m\u001b[38;5;124m\"\u001b[39m):\n\u001b[0;32m 463\u001b[0m \u001b[38;5;28;01mbreak\u001b[39;00m\n",
|
| 362 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:544\u001b[0m, in \u001b[0;36m_parse\u001b[1;34m(source, state, verbose, nested, first)\u001b[0m\n\u001b[0;32m 541\u001b[0m \u001b[38;5;28;01mcontinue\u001b[39;00m\n\u001b[0;32m 543\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m this[\u001b[38;5;241m0\u001b[39m] \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;130;01m\\\\\u001b[39;00m\u001b[38;5;124m\"\u001b[39m:\n\u001b[1;32m--> 544\u001b[0m code \u001b[38;5;241m=\u001b[39m _escape(source, this, state)\n\u001b[0;32m 545\u001b[0m subpatternappend(code)\n\u001b[0;32m 547\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m this \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m SPECIAL_CHARS:\n",
|
| 363 |
+
"File \u001b[1;32m~\\anaconda3\\Lib\\re\\_parser.py:398\u001b[0m, in \u001b[0;36m_escape\u001b[1;34m(source, escape, state)\u001b[0m\n\u001b[0;32m 396\u001b[0m escape \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m source\u001b[38;5;241m.\u001b[39mgetwhile(\u001b[38;5;241m8\u001b[39m, HEXDIGITS)\n\u001b[0;32m 397\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(escape) \u001b[38;5;241m!=\u001b[39m \u001b[38;5;241m10\u001b[39m:\n\u001b[1;32m--> 398\u001b[0m \u001b[38;5;28;01mraise\u001b[39;00m source\u001b[38;5;241m.\u001b[39merror(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mincomplete escape \u001b[39m\u001b[38;5;132;01m%s\u001b[39;00m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m%\u001b[39m escape, \u001b[38;5;28mlen\u001b[39m(escape))\n\u001b[0;32m 399\u001b[0m c \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(escape[\u001b[38;5;241m2\u001b[39m:], \u001b[38;5;241m16\u001b[39m)\n\u001b[0;32m 400\u001b[0m \u001b[38;5;28mchr\u001b[39m(c) \u001b[38;5;66;03m# raise ValueError for invalid code\u001b[39;00m\n",
|
| 364 |
+
"\u001b[1;31merror\u001b[0m: incomplete escape \\U at position 28"
|
| 365 |
+
]
|
| 366 |
+
}
|
| 367 |
+
],
|
| 368 |
+
"source": [
|
| 369 |
+
"conda create --name tf_env python=3.10 -y\n"
|
| 370 |
+
]
|
| 371 |
+
},
|
| 372 |
+
{
|
| 373 |
+
"cell_type": "code",
|
| 374 |
+
"execution_count": 1,
|
| 375 |
+
"id": "7fe537b3-f35d-4699-ae77-af4eb467dc97",
|
| 376 |
+
"metadata": {},
|
| 377 |
+
"outputs": [
|
| 378 |
+
{
|
| 379 |
+
"ename": "ModuleNotFoundError",
|
| 380 |
+
"evalue": "No module named 'tensorflow'",
|
| 381 |
+
"output_type": "error",
|
| 382 |
+
"traceback": [
|
| 383 |
+
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
|
| 384 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
|
| 385 |
+
"Cell \u001b[1;32mIn[1], line 4\u001b[0m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mnumpy\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mnp\u001b[39;00m\n\u001b[0;32m 3\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01msklearn\u001b[39;00m\n\u001b[1;32m----> 4\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mtensorflow\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mtf\u001b[39;00m\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mflask\u001b[39;00m\n\u001b[0;32m 6\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m \u001b[38;5;21;01mmatplotlib\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mpyplot\u001b[39;00m \u001b[38;5;28;01mas\u001b[39;00m \u001b[38;5;21;01mplt\u001b[39;00m\n",
|
| 386 |
+
"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'tensorflow'"
|
| 387 |
+
]
|
| 388 |
+
}
|
| 389 |
+
],
|
| 390 |
+
"source": [
|
| 391 |
+
"import pandas as pd\n",
|
| 392 |
+
"import numpy as np\n",
|
| 393 |
+
"import sklearn\n",
|
| 394 |
+
"import tensorflow as tf\n",
|
| 395 |
+
"import flask\n",
|
| 396 |
+
"import matplotlib.pyplot as plt\n",
|
| 397 |
+
"\n",
|
| 398 |
+
"print(\"All libraries are working correctly!\")\n",
|
| 399 |
+
"\n"
|
| 400 |
+
]
|
| 401 |
+
},
|
| 402 |
+
{
|
| 403 |
+
"cell_type": "code",
|
| 404 |
+
"execution_count": null,
|
| 405 |
+
"id": "ddbf983a-7e08-40b0-9ef7-03490960b4dd",
|
| 406 |
+
"metadata": {},
|
| 407 |
+
"outputs": [],
|
| 408 |
+
"source": []
|
| 409 |
+
}
|
| 410 |
+
],
|
| 411 |
+
"metadata": {
|
| 412 |
+
"kernelspec": {
|
| 413 |
+
"display_name": "Python [conda env:base] *",
|
| 414 |
+
"language": "python",
|
| 415 |
+
"name": "conda-base-py"
|
| 416 |
+
},
|
| 417 |
+
"language_info": {
|
| 418 |
+
"codemirror_mode": {
|
| 419 |
+
"name": "ipython",
|
| 420 |
+
"version": 3
|
| 421 |
+
},
|
| 422 |
+
"file_extension": ".py",
|
| 423 |
+
"mimetype": "text/x-python",
|
| 424 |
+
"name": "python",
|
| 425 |
+
"nbconvert_exporter": "python",
|
| 426 |
+
"pygments_lexer": "ipython3",
|
| 427 |
+
"version": "3.12.7"
|
| 428 |
+
}
|
| 429 |
+
},
|
| 430 |
+
"nbformat": 4,
|
| 431 |
+
"nbformat_minor": 5
|
| 432 |
+
}
|
sale_forecasting.ipynb
ADDED
|
@@ -0,0 +1,33 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "code",
|
| 5 |
+
"execution_count": null,
|
| 6 |
+
"id": "8def5e67-36fc-405b-a915-05328f9737b9",
|
| 7 |
+
"metadata": {},
|
| 8 |
+
"outputs": [],
|
| 9 |
+
"source": []
|
| 10 |
+
}
|
| 11 |
+
],
|
| 12 |
+
"metadata": {
|
| 13 |
+
"kernelspec": {
|
| 14 |
+
"display_name": "Python [conda env:base] *",
|
| 15 |
+
"language": "python",
|
| 16 |
+
"name": "conda-base-py"
|
| 17 |
+
},
|
| 18 |
+
"language_info": {
|
| 19 |
+
"codemirror_mode": {
|
| 20 |
+
"name": "ipython",
|
| 21 |
+
"version": 3
|
| 22 |
+
},
|
| 23 |
+
"file_extension": ".py",
|
| 24 |
+
"mimetype": "text/x-python",
|
| 25 |
+
"name": "python",
|
| 26 |
+
"nbconvert_exporter": "python",
|
| 27 |
+
"pygments_lexer": "ipython3",
|
| 28 |
+
"version": "3.12.7"
|
| 29 |
+
}
|
| 30 |
+
},
|
| 31 |
+
"nbformat": 4,
|
| 32 |
+
"nbformat_minor": 5
|
| 33 |
+
}
|