Datasets:
Linearize 6 PDFs for HTTP 206 Range streaming
Browse files- data/catalog.json +12 -6
- data/pdfs/an_introduction_to_statistical_learning_python.pdf +2 -2
- data/pdfs/designing_machine_learning_systems_chip_huyen.pdf +2 -2
- data/pdfs/hands_on_machine_learning_aurelien_geron.pdf +2 -2
- data/pdfs/machine_learning_engineering_andriy_burkov.pdf +2 -2
- data/pdfs/steve_nison_japanese_candlestick_charting_techniquespdf_pdf_.pdf +2 -2
- data/pdfs/trading_in_the_zone_mark_douglas.pdf +2 -2
data/catalog.json
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@@ -10797,7 +10797,8 @@
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| 10797 |
"Psychology",
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| 10798 |
"Mindset",
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"Discipline"
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| 10800 |
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]
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| 10801 |
},
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| 10802 |
{
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| 10803 |
"id": "steve_nison_japanese_candlestick_charting_techniquespdf_pdf_",
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@@ -10814,7 +10815,8 @@
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| 10814 |
"Candlesticks",
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| 10815 |
"Price Action",
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"Classic"
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| 10817 |
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]
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| 10818 |
},
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| 10819 |
{
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| 10820 |
"id": "study_guide_for_technical_analysis_of_the_financial_markets",
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@@ -11715,7 +11717,8 @@
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| 11715 |
"title": "About the Author",
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| 11716 |
"page": 460
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}
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| 11718 |
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]
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},
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{
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"id": "hands_on_machine_learning_aurelien_geron",
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@@ -13234,7 +13237,8 @@
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"title": "Colophon",
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"page": 510
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}
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]
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},
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{
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"id": "an_introduction_to_statistical_learning_python",
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@@ -14797,7 +14801,8 @@
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| 14797 |
"title": "Index",
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| 14798 |
"page": 603
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| 14799 |
}
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| 14800 |
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]
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| 14801 |
},
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{
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| 14803 |
"id": "machine_learning_engineering_andriy_burkov",
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@@ -14814,7 +14819,8 @@
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| 14814 |
"ML Engineering",
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| 14815 |
"Best Practices"
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],
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"toc": []
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| 14818 |
},
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| 14819 |
{
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| 14820 |
"id": "machine_learning_with_pytorch_and_scikit_learn_raschka",
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| 10797 |
"Psychology",
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| 10798 |
"Mindset",
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| 10799 |
"Discipline"
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| 10800 |
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],
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| 10801 |
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"linearized": true
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| 10802 |
},
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| 10803 |
{
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| 10804 |
"id": "steve_nison_japanese_candlestick_charting_techniquespdf_pdf_",
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| 10815 |
"Candlesticks",
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| 10816 |
"Price Action",
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"Classic"
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| 10818 |
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],
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| 10819 |
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"linearized": true
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| 10820 |
},
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| 10821 |
{
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| 10822 |
"id": "study_guide_for_technical_analysis_of_the_financial_markets",
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| 11717 |
"title": "About the Author",
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| 11718 |
"page": 460
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| 11719 |
}
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| 11720 |
+
],
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| 11721 |
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"linearized": true
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| 11722 |
},
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| 11723 |
{
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| 11724 |
"id": "hands_on_machine_learning_aurelien_geron",
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| 13237 |
"title": "Colophon",
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| 13238 |
"page": 510
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| 13239 |
}
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| 13240 |
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],
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"linearized": true
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| 13242 |
},
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| 13243 |
{
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| 13244 |
"id": "an_introduction_to_statistical_learning_python",
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| 14801 |
"title": "Index",
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| 14802 |
"page": 603
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| 14803 |
}
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],
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"linearized": true
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},
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{
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"id": "machine_learning_engineering_andriy_burkov",
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| 14819 |
"ML Engineering",
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| 14820 |
"Best Practices"
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],
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"toc": [],
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"linearized": true
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| 14824 |
},
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| 14825 |
{
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| 14826 |
"id": "machine_learning_with_pytorch_and_scikit_learn_raschka",
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data/pdfs/an_introduction_to_statistical_learning_python.pdf
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@@ -1,3 +1,3 @@
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data/pdfs/designing_machine_learning_systems_chip_huyen.pdf
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data/pdfs/hands_on_machine_learning_aurelien_geron.pdf
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data/pdfs/machine_learning_engineering_andriy_burkov.pdf
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data/pdfs/steve_nison_japanese_candlestick_charting_techniquespdf_pdf_.pdf
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data/pdfs/trading_in_the_zone_mark_douglas.pdf
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