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app.py
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/3. Module 02 - Streamlit Components/
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1. Introduction to Streamlit Components.srt
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0.0 KB
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1. Introduction to Streamlit Components.mp4
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12.6 MB
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2. Working with Static Streamlit Components - HTML and IFrame.mp4
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136.3 MB
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2. Working with Static Streamlit Components - HTML and IFrame.srt
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23.8 KB
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/5. Module 03 - Project Section - Building Streamlit Apps Part 2/
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2. Project 03 - Text Analysis App -Building the App (Full Length).mp4
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479.1 MB
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1. Project 03 - Text Analysis App -Demo.mp4
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16.0 MB
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1. Project 03 - Text Analysis App -Demo.srt
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2.5 KB
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2. Project 03 - Text Analysis App -Building the App (Full Length).srt
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70.3 KB
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/1. Introduction/
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2. Where to Get Help and Quick Course Guide and Materials.srt
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8.0 KB
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3. What is Streamlit.mp4
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10.0 MB
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3. What is Streamlit.srt
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3.4 KB
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4. Why Learn Streamlit.mp4
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7.0 MB
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4. Why Learn Streamlit.srt
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2.8 KB
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5. Overview of Streamlit Framework API.mp4
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18.3 MB
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5. Overview of Streamlit Framework API.srt
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7.0 KB
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6. Setup & Installation In Virutal Environment.mp4
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27.4 MB
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6. Setup & Installation In Virutal Environment.srt
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6.8 KB
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7. Exploring Streamlit.mp4
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41.8 MB
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7. Exploring Streamlit.srt
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11.2 KB
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8. Displaying Text In Streamlit.mp4
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42.9 MB
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8. Displaying Text In Streamlit.srt
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11.9 KB
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9. Behind the Source Code - Inspecting the Text.mp4
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24.7 MB
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9. Behind the Source Code - Inspecting the Text.srt
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3.5 KB
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10. Working with Colorful Bootstap-Like Text.mp4
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26.2 MB
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10. Working with Colorful Bootstap-Like Text.srt
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4.6 KB
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11. Displaying Results with St.write() Superfunction.mp4
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27.9 MB
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11. Displaying Results with St.write() Superfunction.srt
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6.0 KB
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12. Displaying Pandas DataFrame,Tables and JSON.mp4
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65.2 MB
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12. Displaying Pandas DataFrame,Tables and JSON.srt
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13.7 KB
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13. Working with Streamlit Widgets - Buttons,Radio Buttons and Checkbox.mp4
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55.7 MB
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13. Working with Streamlit Widgets - Buttons,Radio Buttons and Checkbox.srt
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11.9 KB
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14. Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.mp4
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53.9 MB
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14. Working with Streamlit Widgets - Select, Multi-select,Sliders and Select Slider.srt
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10.5 KB
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15. Displaying and Working with Media Files -Images,Audio and Video.mp4
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52.8 MB
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15. Displaying and Working with Media Files -Images,Audio and Video.srt
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10.0 KB
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16. Working with Text Input - Receiving Input From User.mp4
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56.9 MB
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16. Working with Text Input - Receiving Input From User.srt
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13.5 KB
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17. How to Configure Streamlit Page.mp4
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97.9 MB
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17. How to Configure Streamlit Page.srt
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17.5 KB
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18. How to Update Streamlit & How to work with Beta Changes.mp4
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38.4 MB
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18. How to Update Streamlit & How to work with Beta Changes.srt
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6.0 KB
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19. Plotting In Streamlit Using Plotly.mp4
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40.7 MB
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19. Plotting In Streamlit Using Plotly.srt
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7.4 KB
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20. Working with File Uploads - Indepth Tutorial.mp4
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395.0 MB
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20. Working with File Uploads - Indepth Tutorial.srt
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60.0 KB
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21. Structuring Streamlit Apps.mp4
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93.3 MB
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21. Structuring Streamlit Apps.srt
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22.4 KB
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21.1 structuring_multiple_streamlit_apps_jcharistech.png
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41.2 KB
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1. Introduction.mp4
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22.3 MB
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1. Introduction.srt
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8.0 KB
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2. Where to Get Help and Quick Course Guide and Materials.mp4
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31.1 MB
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/.../course_materials_learnstreamlit/LearnStreamlit/
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Pipfile
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0.2 KB
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Pipfile.lock
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/.../course_materials_learnstreamlit/LearnStreamlit/Module01/
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iris.csv
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example_text.txt
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image_01.jpg
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image_02.jpg
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image_03.jpg
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iris.csv
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lang_data.csv
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12.9 KB
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my_example.docx
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13.0 KB
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my_example.pdf
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118.7 KB
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prog_languages_data.csv
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0.2 KB
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secret_of_success.mp4
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83.2 MB
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song.mp3
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5.3 MB
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/.../Fundamentals_of_Streamlit/
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app.py
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0.4 KB
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app_02.py
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0.5 KB
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app_adding_container_for_layouts.py
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0.6 KB
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app_adding_widget_to_sidebar.py
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0.3 KB
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app_display_data.py
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0.6 KB
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app_display_text.py
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0.8 KB
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app_exercise_build_a_form_with_layouts.py
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0.8 KB
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app_layouts_1.py
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0.9 KB
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app_set_page_config.py
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0.7 KB
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app_structure_app.py
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0.4 KB
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app_working_with_buttons.py
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0.8 KB
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app_working_with_file_uploader.py
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0.9 KB
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app_working_with_media_files.py
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0.6 KB
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app_working_with_multiple_files.py
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0.4 KB
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app_working_with_progressbar_spinners.py
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0.5 KB
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app_working_with_select_widget.py
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0.6 KB
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app_working_with_text_inputs.py
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0.6 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module02/
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iris.csv
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3.9 KB
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/.../Plotting_in_Streamlit/
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app_display_charts_altair.py
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1.1 KB
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app_plotting_with_plotly.py
|
0.5 KB
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app_plotting_with_stpyplot.py
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1.1 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module02/Streamlit_Components/
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app.py
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0.5 KB
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app_static_components.py
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4.4 KB
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streamlit_component_types_jcharistech.png
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74.8 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module03/
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README.md
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0.5 KB
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/.../file_upload_app/
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app.py
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2.6 KB
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fileupload_tuts_streamlit_jcharistech02.png
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63.1 KB
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/.../metadata_app_final/
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app.py
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13.3 KB
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app_utils.py
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1.7 KB
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data.db
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8.2 KB
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db_fxns.py
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0.6 KB
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docker-compose.yml
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0.2 KB
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Dockerfile
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0.2 KB
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README.md
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0.9 KB
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requirements.txt
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0.1 KB
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/.../metadata_app_final/backup/
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app (unformated).py
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app (unrefactored).py
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12.0 KB
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/.../metadata_app_final/images/
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metadataextraction_app_jcharistech.png
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62.1 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module03/nlp_app/
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app.py
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7.1 KB
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app_utils.py
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1.6 KB
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nlp_app_workflow_jcharistech.png
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README.md
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app(unformated).py
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app(unrefactored).py
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6.9 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module03/resources/
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audio_icon.png
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dockerfileexplain.png
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example.txt
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3.0 KB
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image_ex1.jpg
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5.1 MB
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image_icon.png
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7.7 KB
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IMG_20200730_151524.jpg
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5.3 MB
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Kari Jobe - Love So Holy (HolyChords).mp3
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11.3 MB
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metadataextraction_app_jcharistech.png
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62.1 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module03/summarizer_app/
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app.py
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nlp_app_workflow_jcharistech.png
|
46.4 KB
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README.md
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0.3 KB
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/.../text_analysis_nlp_app/
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app.py
|
6.0 KB
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/.../course_materials_learnstreamlit/LearnStreamlit/Module04/
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Deployment_Steps.md
|
1.6 KB
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/.../Explanation_For_Deployment_Types/
|
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architecture.svg
|
187.4 KB
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dockerfileexplain.png
|
44.3 KB
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streamlit sharing_jcharistech.png
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45.8 KB
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virtualmachines-vs-containers-100727624-large.jpg
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/.../metadata_app_final/
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app.py
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13.3 KB
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app_utils.py
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data.db
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8.2 KB
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db_fxns.py
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0.6 KB
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docker-compose.yml
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0.2 KB
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Dockerfile
|
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README.md
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0.9 KB
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requirements.txt
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app (unformated).py
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9.9 KB
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app (unrefactored).py
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12.0 KB
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/.../metadata_app_final/images/
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metadataextraction_app_jcharistech.png
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62.1 KB
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/.../file_upload_app/
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app.py
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2.6 KB
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fileupload_tuts_streamlit_jcharistech02.png
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63.1 KB
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/2. Module 02 - Data Visualization In Streamlit/
|
|
1. Plotting In Streamlit-Introduction.mp4
|
8.0 MB
|
|
1. Plotting In Streamlit-Introduction.srt
|
3.3 KB
|
|
2. Plotting In Streamlit Using St.pyplot For Matplotlib and Others.mp4
|
79.4 MB
|
|
2. Plotting In Streamlit Using St.pyplot For Matplotlib and Others.srt
|
13.8 KB
|
|
3. Plotting In Streamlit Bar Charts, Area Charts and Altair Charts.mp4
|
105.5 MB
|
|
3. Plotting In Streamlit Bar Charts, Area Charts and Altair Charts.srt
|
18.3 KB
|
|
/4. Module 03 - Project Section - Building Streamlit Apps/
|
|
1. Project - NLP & Summarization App.mp4
|
35.7 MB
|
|
1. Project - NLP & Summarization App.srt
|
8.7 KB
|
|
2. Project - Summarization App - Structuring the App.mp4
|
100.7 MB
|
|
2. Project - Summarization App - Structuring the App.srt
|
20.0 KB
|
|
3. Project - Summarization App -Adding the Summary Process (LexRank and TextRank).mp4
|
154.3 MB
|
|
3. Project - Summarization App -Adding the Summary Process (LexRank and TextRank).srt
|
23.1 KB
|
|
4. Project - Summarization App - Evaluating the Extractive Summary with Rouge.mp4
|
92.7 MB
|
|
4. Project - Summarization App - Evaluating the Extractive Summary with Rouge.srt
|
12.4 KB
|
|
5. Project - Text Analysis & NLP App.mp4
|
38.0 MB
|
|
5. Project - Text Analysis & NLP App.srt
|
6.8 KB
|
|
6. Project -Text Analysis & Spacy App - Structuring the App.mp4
|
123.1 MB
|
|
6. Project -Text Analysis & Spacy App - Structuring the App.srt
|
21.4 KB
|
|
7. Project - Text Analysis & Spacy App - Adding the Text Analysis Process.mp4
|
164.6 MB
|
|
7. Project - Text Analysis & Spacy App - Adding the Text Analysis Process.srt
|
24.2 KB
|
|
8. Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.mp4
|
106.4 MB
|
|
8. Project -Text Analysis & Spacy App - Word Statistics and Sentiment Analysis.srt
|
12.6 KB
|
|
9. Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.mp4
|
158.6 MB
|
|
9. Project - Text Analysis & Spacy App - Adding the Plots and Visualizations.srt
|
18.5 KB
|
|
10. Project - Text Analysis & Spacy App - File Download of Results.mp4
|
56.7 MB
|
|
10. Project - Text Analysis & Spacy App - File Download of Results.srt
|
7.0 KB
|
|
11. Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).mp4
|
177.0 MB
|
|
11. Project - Text Analysis & Spacy App - File Upload (PDF,Txt and Docx).srt
|
19.9 KB
|
|
12. Project - Text Analysis & Spacy App - Refactoring and Modularize The App.mp4
|
149.4 MB
|
|
12. Project - Text Analysis & Spacy App - Refactoring and Modularize The App.srt
|
17.6 KB
|
|
13. Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.mp4
|
43.1 MB
|
|
13. Project - Text Analysis & Spacy App - Fixing Insufficient Data For Plot.srt
|
4.3 KB
|
|
14. Project 01 - MetaData Extracton App - Demo.mp4
|
48.8 MB
|
|
14. Project 01 - MetaData Extracton App - Demo.srt
|
10.3 KB
|
|
15. Project 01 - MetaData Extraction App - Setting Up and Structuring the App.mp4
|
131.8 MB
|
|
15. Project 01 - MetaData Extraction App - Setting Up and Structuring the App.srt
|
21.0 KB
|
|
16. Project 01 - MetaData Extraction App -Home Section.mp4
|
124.9 MB
|
|
16. Project 01 - MetaData Extraction App -Home Section.srt
|
16.1 KB
|
|
17. Project 01 - Building the File Upload Section.mp4
|
252.7 MB
|
|
17. Project 01 - Building the File Upload Section.srt
|
33.9 KB
|
|
18. Project 01 - MetaData Extraction App - Extraction Process.mp4
|
256.6 MB
|
|
18. Project 01 - MetaData Extraction App - Extraction Process.srt
|
35.0 KB
|
|
19. Project 01 - MetaData Extraction App - Adding Result Download.mp4
|
162.8 MB
|
|
19. Project 01 - MetaData Extraction App - Adding Result Download.srt
|
22.5 KB
|
|
20. Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.mp4
|
212.8 MB
|
|
20. Project 01 - MetaData Extracton App - Extracting MetaData From Audio files.srt
|
25.1 KB
|
|
21. Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.mp4
|
159.3 MB
|
|
21. Project 01 - MetaData Extraction App - Extracting MetaData From PDF Section.srt
|
17.8 KB
|
|
22. Project 01 - MetaData Extraction App - Analytics and Monitor Section.mp4
|
220.7 MB
|
|
22. Project 01 - MetaData Extraction App - Analytics and Monitor Section.srt
|
23.9 KB
|
|
23. Static Code Analysis & Refactoring Streamlit App.mp4
|
193.0 MB
|
|
23. Static Code Analysis & Refactoring Streamlit App.srt
|
27.6 KB
|
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/.../metadata_app_final/
|
|
app.py
|
13.3 KB
|
|
app_utils.py
|
1.7 KB
|
|
data.db
|
8.2 KB
|
|
db_fxns.py
|
0.6 KB
|
|
docker-compose.yml
|
0.2 KB
|
|
Dockerfile
|
0.2 KB
|
|
README.md
|
0.9 KB
|
|
requirements.txt
|
0.1 KB
|
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/.../metadata_app_final/backup/
|
|
app (unformated).py
|
9.9 KB
|
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app (unrefactored).py
|
12.0 KB
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/.../metadata_app_final/images/
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metadataextraction_app_jcharistech.png
|
62.1 KB
|
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/6. Module 03 - Project Section - Building Streamlit Apps - Machine Learning Apps/
|
|
1. Project - Machine Learning Web App - Diabetes Prediction App -Demo.mp4
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46.0 MB
|
|
1. Project - Machine Learning Web App - Diabetes Prediction App -Demo.srt
|
9.6 KB
|
|
2. Project - Diabetes Prediction App - Structuring the App.mp4
|
93.2 MB
|
|
2. Project - Diabetes Prediction App - Structuring the App.srt
|
22.4 KB
|
|
3. Project -Diabetes Prediction App - Exploratory Data Analysis Section.mp4
|
170.1 MB
|
|
3. Project -Diabetes Prediction App - Exploratory Data Analysis Section.srt
|
27.4 KB
|
|
4. Project - Diabetes Prediction App - Plotting and Data Visualization.mp4
|
243.8 MB
|
|
4. Project - Diabetes Prediction App - Plotting and Data Visualization.srt
|
36.0 KB
|
|
5. Project - Diabetes Prediction App - Machine Learning Section.mp4
|
134.0 MB
|
|
5. Project - Diabetes Prediction App - Machine Learning Section.srt
|
20.4 KB
|
|
6. Project - Diabetes Prediction App - Applying the Models For Prediction.mp4
|
144.2 MB
|
|
6. Project - Diabetes Prediction App - Applying the Models For Prediction.srt
|
23.7 KB
|
|
/.../diabetes_prediction_ml_app/
|
|
app.py
|
1.2 KB
|
|
eda_app.py
|
2.6 KB
|
|
ml_app.py
|
4.1 KB
|
|
requirements.txt
|
0.1 KB
|
|
/.../diabetes_prediction_ml_app/__pycache__/
|
|
eda_app.cpython-37.pyc
|
2.3 KB
|
|
ml_app.cpython-37.pyc
|
3.7 KB
|
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/.../diabetes_prediction_ml_app/data/
|
|
diabetes_data_upload.csv
|
34.7 KB
|
|
diabetes_data_upload_clean.csv
|
18.4 KB
|
|
freqdist_of_age_data.csv
|
0.1 KB
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/.../diabetes_prediction_ml_app/images/
|
|
Screenshot from 2020-11-09 18-09-10.png
|
105.5 KB
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Screenshot from 2020-11-09 18-09-37.png
|
117.5 KB
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Screenshot from 2020-11-09 18-09-56.png
|
104.1 KB
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Screenshot from 2020-11-09 18-10-01.png
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101.4 KB
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Screenshot from 2020-11-09 18-10-18.png
|
125.1 KB
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Screenshot from 2020-11-09 18-10-34.png
|
107.6 KB
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/.../diabetes_prediction_ml_app/models/
|
|
decision_tree_model_diabetes_21_oct_2020.pkl
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5.3 KB
|
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logistic_regression_model_diabetes_21_oct_2020.pkl
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1.0 KB
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/7. Module 04 - Deploying Streamlit Apps/
|
|
1. Deploying Streamlit Apps - Using Docker.mp4
|
181.2 MB
|
|
1. Deploying Streamlit Apps - Using Docker.srt
|
35.4 KB
|
|
2. Deploying Streamlit Apps - Using Streamlit Sharing.mp4
|
67.0 MB
|
|
2. Deploying Streamlit Apps - Using Streamlit Sharing.srt
|
12.2 KB
|
|
3. Exploring Streamlit Sharing Dashboard.mp4
|
40.3 MB
|
|
3. Exploring Streamlit Sharing Dashboard.srt
|
9.3 KB
|
|
4. Deploying Streamlit Apps - On Google Cloud Platform.mp4
|
113.9 MB
|
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4. Deploying Streamlit Apps - On Google Cloud Platform.srt
|
24.5 KB
|
|
5. Deploying Streamlit Apps - Using Heroku.mp4
|
158.7 MB
|
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5. Deploying Streamlit Apps - Using Heroku.srt
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32.4 KB
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Total files 242
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