cluster:<\/p>\n
Using SSH Keys to Support Multi-node Compute Tools & Scripts<\/a><\/p><\/blockquote>\n<\/iframe><\/p>\n<p>https:\/\/docs.oracle.com\/cd\/E19356-01\/820-3176-10\/ExecutingBatchPrograms.html<\/p>\n<p>https:\/\/www.asus.com\/us\/support\/FAQ\/1040803\/<\/p>\n<p>perceptrons:<\/p>\n<p>https:\/\/towardsdatascience.com\/mcculloch-pitts-model-5fdf65ac5dd1<\/p>\n<p>https:\/\/towardsdatascience.com\/perceptron-the-artificial-neuron-4d8c70d5cc8d<\/p>\n<p>https:\/\/news.cornell.edu\/stories\/2019\/09\/professors-perceptron-paved-way-ai-60-years-too-soon<\/p>\n<p>http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula4.pdf<\/p>\n<p>https:\/\/en.wikipedia.org\/wiki\/Pandemonium_architecture<\/p>\n<p>https:\/\/cienciasecognicao.org\/neuroemdebate\/arquivos\/4592<\/p>\n<p>http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula5.pdf<\/p>\n<p>https:\/\/towardsdatascience.com\/perceptron-learning-algorithm-d5db0deab975<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"4GhJ8TFll8\"><p><a href=\"https:\/\/www.deeplearningbook.com.br\/o-perceptron-parte-2\/\">Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2<\/a><\/p><\/blockquote>\n<p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"“Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2” — Deep Learning Book\" src=\"https:\/\/www.deeplearningbook.com.br\/o-perceptron-parte-2\/embed\/#?secret=Vc8fgnUfdo#?secret=4GhJ8TFll8\" data-secret=\"4GhJ8TFll8\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p> <\/p>\n<p>Seq2seq: https:\/\/towardsdatascience.com\/seq2seq-modelling-for-english-to-french-translations-f6e4aa7aa02c<\/p>\n<p>https:\/\/towardsdatascience.com\/understanding-neural-machine-translation-encoder-decoder-architecture-80f205643ba4<\/p>\n<p>https:\/\/medium.com\/analytics-vidhya\/machine-translation-encoder-decoder-model-7e4867377161<\/p>\n<p>https:\/\/towardsdatascience.com\/how-to-build-an-encoder-decoder-translation-model-using-lstm-with-python-and-keras-a31e9d864b9b<\/p>\n<p>https:\/\/www.pluralsight.com\/guides\/encoders-and-decoders-for-neural-machine-translation<\/p>\n<p>https:\/\/www.pluralsight.com\/guides\/nmt:-encoder-and-decoder-with-keras<\/p>\n<p>Tf.data entre outros:<\/p>\n<p>https:\/\/www.kaggle.com\/code\/jalammar\/intro-to-data-input-pipelines-with-tf-data\/notebook<\/p>\n<p>https:\/\/stackoverflow.com\/questions\/71211053\/what-tensorflows-flat-map-window-batch-does-to-a-dataset-array<\/p>\n<p>https:\/\/stackoverflow.com\/questions\/55429307\/how-to-use-windows-created-by-the-dataset-window-method-in-tensorflow-2-0<\/p>\n<p>Diferen\u00e7a entre listas e arrays no python:<\/p>\n<p><iframe title=\"Diferen\u00e7a entre Listas e Arrays no Python\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Cx5X7ZWs2SY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Shape, reshape and Panda dataframe\/series:<\/p>\n<p>https:\/\/towardsdatascience.com\/get-into-shape-14637fe1cd32<\/p>\n<p><iframe title=\"SERIES e DATAFRAME qual a diferen\u00e7a?? - PANDAS Python\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/d13JgjjoaaM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Sliding window:<\/p>\n<p>https:\/\/favtutor.com\/blogs\/sliding-window-algorithm<\/p>\n<p>https:\/\/medium.com\/geekculture\/implement-a-sliding-window-using-python-31d1481842a7<\/p>\n<p>Batch size:<\/p>\n<p>https:\/\/stats.stackexchange.com\/questions\/153531\/what-is-batch-size-in-neural-network<\/p>\n<p>https:\/\/stats.stackexchange.com\/questions\/164876\/what-is-the-trade-off-between-batch-size-and-number-of-iterations-to-train-a-neu<\/p>\n<p>https:\/\/ai.stackexchange.com\/questions\/18353\/what-is-the-purpose-of-the-batch-size-in-neural-networks<\/p>\n<p>Fun\u00e7\u00e3o iloc:<\/p>\n<p>https:\/\/medium.com\/horadecodar\/data-science-tips-02-como-usar-loc-e-iloc-no-pandas-fab58e214d87<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"cOe50oTs2t\"><p><a href=\"https:\/\/www.askpython.com\/python\/built-in-methods\/python-iloc-function\">Python iloc() function – All you need to know!<\/a><\/p><\/blockquote>\n<p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"“Python iloc() function – All you need to know!” — AskPython\" src=\"https:\/\/www.askpython.com\/python\/built-in-methods\/python-iloc-function\/embed#?secret=xPEqiXure8#?secret=cOe50oTs2t\" data-secret=\"cOe50oTs2t\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>Erro do python:<\/p>\n<ol>\n<li>Desinstalar numpy (havia erro de METADATA): sudo apt-get remove python-numpy e sudo pip uninstall numpy e cd \/home\/robson\/.local\/lib\/python3.9\/site-packages e\u00a0 rm -rf numpy*<\/li>\n<li>Reinstalar tudo… pip install –user –upgrade numpy e<br \/>\npip install –user –upgrade numba e pip install –user –upgrade scipy<\/li>\n<li>Instalar deepchem: pip install –user deepchem<\/li>\n<\/ol>\n<p>Ver, por exemplo: https:\/\/stackoverflow.com\/questions\/51617284\/could-not-install-packages-due-to-an-environmenterror-errno-2 ou https:\/\/stackoverflow.com\/questions\/64150099\/cannot-pip-udate-numpy ou https:\/\/stackoverflow.com\/questions\/50457676\/cannot-uninstall-numpy<\/p>\n<p>ML:<\/p>\n<p>https:\/\/medium.com\/mlearning-ai\/convert-texts-into-tensors-for-deep-learning-74b0cf48d416<\/p>\n<p>https:\/\/towardsdatascience.com\/how-to-tokenize-and-pad-sequences-in-tensorflow-fcbbf2e8b3b5<\/p>\n<p>https:\/\/towardsdatascience.com\/introduction-to-word-embeddings-4cf857b12edc<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/nlp-count-vectorization\/<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/understanding-keras-dense-layers\/<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/breaking_down_ml_for_the_average_person\/<\/p>\n<p>colah.github.io\/posts\/2015-08-Understanding-LSTMs\/<\/p>\n<p>https:\/\/jithinjk.github.io\/blog\/disciplined_nn_approach.md.html<\/p>\n<p>https:\/\/ai.googleblog.com\/2018\/03\/using-evolutionary-automl-to-discover.html<\/p>\n<p> <\/p>\n<p>Computational Chemistry I: https:\/\/www.cup.uni-muenchen.de\/oc\/zipse\/teaching\/computational-chemistry-1\/topics\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>cluster: Using SSH Keys to Support Multi-node Compute Tools & Scripts https:\/\/docs.oracle.com\/cd\/E19356-01\/820-3176-10\/ExecutingBatchPrograms.html https:\/\/www.asus.com\/us\/support\/FAQ\/1040803\/ perceptrons: https:\/\/towardsdatascience.com\/mcculloch-pitts-model-5fdf65ac5dd1 https:\/\/towardsdatascience.com\/perceptron-the-artificial-neuron-4d8c70d5cc8d https:\/\/news.cornell.edu\/stories\/2019\/09\/professors-perceptron-paved-way-ai-60-years-too-soon http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula4.pdf https:\/\/en.wikipedia.org\/wiki\/Pandemonium_architecture https:\/\/cienciasecognicao.org\/neuroemdebate\/arquivos\/4592 http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula5.pdf https:\/\/towardsdatascience.com\/perceptron-learning-algorithm-d5db0deab975 Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2 Seq2seq: https:\/\/towardsdatascience.com\/seq2seq-modelling-for-english-to-french-translations-f6e4aa7aa02c https:\/\/towardsdatascience.com\/understanding-neural-machine-translation-encoder-decoder-architecture-80f205643ba4 https:\/\/medium.com\/analytics-vidhya\/machine-translation-encoder-decoder-model-7e4867377161 https:\/\/towardsdatascience.com\/how-to-build-an-encoder-decoder-translation-model-using-lstm-with-python-and-keras-a31e9d864b9b https:\/\/www.pluralsight.com\/guides\/encoders-and-decoders-for-neural-machine-translation https:\/\/www.pluralsight.com\/guides\/nmt:-encoder-and-decoder-with-keras Tf.data entre outros: https:\/\/www.kaggle.com\/code\/jalammar\/intro-to-data-input-pipelines-with-tf-data\/notebook https:\/\/stackoverflow.com\/questions\/71211053\/what-tensorflows-flat-map-window-batch-does-to-a-dataset-array https:\/\/stackoverflow.com\/questions\/55429307\/how-to-use-windows-created-by-the-dataset-window-method-in-tensorflow-2-0 Diferen\u00e7a entre listas e arrays no python: Shape, reshape and Panda […]<\/p>\n","protected":false},"author":937,"featured_media":0,"parent":6,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-150","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/users\/937"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/comments?post=150"}],"version-history":[{"count":15,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150\/revisions\/285"}],"up":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/6"}],"wp:attachment":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/media?parent=150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}
<\/iframe><\/p>\n<p>https:\/\/docs.oracle.com\/cd\/E19356-01\/820-3176-10\/ExecutingBatchPrograms.html<\/p>\n<p>https:\/\/www.asus.com\/us\/support\/FAQ\/1040803\/<\/p>\n<p>perceptrons:<\/p>\n<p>https:\/\/towardsdatascience.com\/mcculloch-pitts-model-5fdf65ac5dd1<\/p>\n<p>https:\/\/towardsdatascience.com\/perceptron-the-artificial-neuron-4d8c70d5cc8d<\/p>\n<p>https:\/\/news.cornell.edu\/stories\/2019\/09\/professors-perceptron-paved-way-ai-60-years-too-soon<\/p>\n<p>http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula4.pdf<\/p>\n<p>https:\/\/en.wikipedia.org\/wiki\/Pandemonium_architecture<\/p>\n<p>https:\/\/cienciasecognicao.org\/neuroemdebate\/arquivos\/4592<\/p>\n<p>http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula5.pdf<\/p>\n<p>https:\/\/towardsdatascience.com\/perceptron-learning-algorithm-d5db0deab975<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"4GhJ8TFll8\"><p><a href=\"https:\/\/www.deeplearningbook.com.br\/o-perceptron-parte-2\/\">Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2<\/a><\/p><\/blockquote>\n<p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"“Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2” — Deep Learning Book\" src=\"https:\/\/www.deeplearningbook.com.br\/o-perceptron-parte-2\/embed\/#?secret=Vc8fgnUfdo#?secret=4GhJ8TFll8\" data-secret=\"4GhJ8TFll8\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p> <\/p>\n<p>Seq2seq: https:\/\/towardsdatascience.com\/seq2seq-modelling-for-english-to-french-translations-f6e4aa7aa02c<\/p>\n<p>https:\/\/towardsdatascience.com\/understanding-neural-machine-translation-encoder-decoder-architecture-80f205643ba4<\/p>\n<p>https:\/\/medium.com\/analytics-vidhya\/machine-translation-encoder-decoder-model-7e4867377161<\/p>\n<p>https:\/\/towardsdatascience.com\/how-to-build-an-encoder-decoder-translation-model-using-lstm-with-python-and-keras-a31e9d864b9b<\/p>\n<p>https:\/\/www.pluralsight.com\/guides\/encoders-and-decoders-for-neural-machine-translation<\/p>\n<p>https:\/\/www.pluralsight.com\/guides\/nmt:-encoder-and-decoder-with-keras<\/p>\n<p>Tf.data entre outros:<\/p>\n<p>https:\/\/www.kaggle.com\/code\/jalammar\/intro-to-data-input-pipelines-with-tf-data\/notebook<\/p>\n<p>https:\/\/stackoverflow.com\/questions\/71211053\/what-tensorflows-flat-map-window-batch-does-to-a-dataset-array<\/p>\n<p>https:\/\/stackoverflow.com\/questions\/55429307\/how-to-use-windows-created-by-the-dataset-window-method-in-tensorflow-2-0<\/p>\n<p>Diferen\u00e7a entre listas e arrays no python:<\/p>\n<p><iframe title=\"Diferen\u00e7a entre Listas e Arrays no Python\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/Cx5X7ZWs2SY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Shape, reshape and Panda dataframe\/series:<\/p>\n<p>https:\/\/towardsdatascience.com\/get-into-shape-14637fe1cd32<\/p>\n<p><iframe title=\"SERIES e DATAFRAME qual a diferen\u00e7a?? - PANDAS Python\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/d13JgjjoaaM?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe><\/p>\n<p>Sliding window:<\/p>\n<p>https:\/\/favtutor.com\/blogs\/sliding-window-algorithm<\/p>\n<p>https:\/\/medium.com\/geekculture\/implement-a-sliding-window-using-python-31d1481842a7<\/p>\n<p>Batch size:<\/p>\n<p>https:\/\/stats.stackexchange.com\/questions\/153531\/what-is-batch-size-in-neural-network<\/p>\n<p>https:\/\/stats.stackexchange.com\/questions\/164876\/what-is-the-trade-off-between-batch-size-and-number-of-iterations-to-train-a-neu<\/p>\n<p>https:\/\/ai.stackexchange.com\/questions\/18353\/what-is-the-purpose-of-the-batch-size-in-neural-networks<\/p>\n<p>Fun\u00e7\u00e3o iloc:<\/p>\n<p>https:\/\/medium.com\/horadecodar\/data-science-tips-02-como-usar-loc-e-iloc-no-pandas-fab58e214d87<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"cOe50oTs2t\"><p><a href=\"https:\/\/www.askpython.com\/python\/built-in-methods\/python-iloc-function\">Python iloc() function – All you need to know!<\/a><\/p><\/blockquote>\n<p><iframe class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"“Python iloc() function – All you need to know!” — AskPython\" src=\"https:\/\/www.askpython.com\/python\/built-in-methods\/python-iloc-function\/embed#?secret=xPEqiXure8#?secret=cOe50oTs2t\" data-secret=\"cOe50oTs2t\" width=\"500\" height=\"282\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>Erro do python:<\/p>\n<ol>\n<li>Desinstalar numpy (havia erro de METADATA): sudo apt-get remove python-numpy e sudo pip uninstall numpy e cd \/home\/robson\/.local\/lib\/python3.9\/site-packages e\u00a0 rm -rf numpy*<\/li>\n<li>Reinstalar tudo… pip install –user –upgrade numpy e<br \/>\npip install –user –upgrade numba e pip install –user –upgrade scipy<\/li>\n<li>Instalar deepchem: pip install –user deepchem<\/li>\n<\/ol>\n<p>Ver, por exemplo: https:\/\/stackoverflow.com\/questions\/51617284\/could-not-install-packages-due-to-an-environmenterror-errno-2 ou https:\/\/stackoverflow.com\/questions\/64150099\/cannot-pip-udate-numpy ou https:\/\/stackoverflow.com\/questions\/50457676\/cannot-uninstall-numpy<\/p>\n<p>ML:<\/p>\n<p>https:\/\/medium.com\/mlearning-ai\/convert-texts-into-tensors-for-deep-learning-74b0cf48d416<\/p>\n<p>https:\/\/towardsdatascience.com\/how-to-tokenize-and-pad-sequences-in-tensorflow-fcbbf2e8b3b5<\/p>\n<p>https:\/\/towardsdatascience.com\/introduction-to-word-embeddings-4cf857b12edc<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/nlp-count-vectorization\/<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/understanding-keras-dense-layers\/<\/p>\n<p>http:\/\/hunterheidenreich.com\/blog\/breaking_down_ml_for_the_average_person\/<\/p>\n<p>colah.github.io\/posts\/2015-08-Understanding-LSTMs\/<\/p>\n<p>https:\/\/jithinjk.github.io\/blog\/disciplined_nn_approach.md.html<\/p>\n<p>https:\/\/ai.googleblog.com\/2018\/03\/using-evolutionary-automl-to-discover.html<\/p>\n<p> <\/p>\n<p>Computational Chemistry I: https:\/\/www.cup.uni-muenchen.de\/oc\/zipse\/teaching\/computational-chemistry-1\/topics\/<\/p>\n","protected":false},"excerpt":{"rendered":"<p>cluster: Using SSH Keys to Support Multi-node Compute Tools & Scripts https:\/\/docs.oracle.com\/cd\/E19356-01\/820-3176-10\/ExecutingBatchPrograms.html https:\/\/www.asus.com\/us\/support\/FAQ\/1040803\/ perceptrons: https:\/\/towardsdatascience.com\/mcculloch-pitts-model-5fdf65ac5dd1 https:\/\/towardsdatascience.com\/perceptron-the-artificial-neuron-4d8c70d5cc8d https:\/\/news.cornell.edu\/stories\/2019\/09\/professors-perceptron-paved-way-ai-60-years-too-soon http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula4.pdf https:\/\/en.wikipedia.org\/wiki\/Pandemonium_architecture https:\/\/cienciasecognicao.org\/neuroemdebate\/arquivos\/4592 http:\/\/sisne.org\/Disciplinas\/PosGrad\/PsicoConex\/aula5.pdf https:\/\/towardsdatascience.com\/perceptron-learning-algorithm-d5db0deab975 Cap\u00edtulo 7 \u2013 O Perceptron \u2013 Parte 2 Seq2seq: https:\/\/towardsdatascience.com\/seq2seq-modelling-for-english-to-french-translations-f6e4aa7aa02c https:\/\/towardsdatascience.com\/understanding-neural-machine-translation-encoder-decoder-architecture-80f205643ba4 https:\/\/medium.com\/analytics-vidhya\/machine-translation-encoder-decoder-model-7e4867377161 https:\/\/towardsdatascience.com\/how-to-build-an-encoder-decoder-translation-model-using-lstm-with-python-and-keras-a31e9d864b9b https:\/\/www.pluralsight.com\/guides\/encoders-and-decoders-for-neural-machine-translation https:\/\/www.pluralsight.com\/guides\/nmt:-encoder-and-decoder-with-keras Tf.data entre outros: https:\/\/www.kaggle.com\/code\/jalammar\/intro-to-data-input-pipelines-with-tf-data\/notebook https:\/\/stackoverflow.com\/questions\/71211053\/what-tensorflows-flat-map-window-batch-does-to-a-dataset-array https:\/\/stackoverflow.com\/questions\/55429307\/how-to-use-windows-created-by-the-dataset-window-method-in-tensorflow-2-0 Diferen\u00e7a entre listas e arrays no python: Shape, reshape and Panda […]<\/p>\n","protected":false},"author":937,"featured_media":0,"parent":6,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-150","page","type-page","status-publish","hentry"],"jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/users\/937"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/comments?post=150"}],"version-history":[{"count":15,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150\/revisions"}],"predecessor-version":[{"id":285,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/150\/revisions\/285"}],"up":[{"embeddable":true,"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/pages\/6"}],"wp:attachment":[{"href":"https:\/\/wp.ufpel.edu.br\/gcate\/wp-json\/wp\/v2\/media?parent=150"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}