PacktPub | 50 Hours of Big Data, PySpark, AWS, Scala, and Scraping [Video] [FCO]

PacktPub | 50 Hours of Big Data, PySpark, AWS, Scala, and Scraping [Video] [FCO]17.3 GB
- 01.01-introduction_why_data_scraping.mkv34.2 MB
- 01.02-introduction_applications_of_data_scraping.mkv16.3 MB
- 01.03-introduction_introduction_of_instructor.mkv4.9 MB
- 01.04-introduction_introduction_to_course_scraping_tools.mkv16.5 MB
- 01.05-introduction_projects_overview.mkv14.3 MB
- 01.06-requests_introduction_to_python_requests.mkv19.0 MB
- 01.07-requests_hands-on_with_requests.mkv27.8 MB
- 01.08-requests_extracting_quotes_manually.mkv36.6 MB
- 01.09-requests_quiz_(extracting_authors).mkv6.1 MB
- 01.10-requests_solution_(extracting_authors).mkv79.5 MB
- 01.100-scrapy_checking_for_next_page_in_spider.mkv9.4 MB
- 01.101-scrapy_checking_for_next_page_url.mkv27.3 MB
- 01.102-scrapy_scraping_quotes_from_next_pages.mkv26.5 MB
- 01.103-scrapy_exporting_extracted_data.mkv12.6 MB
- 01.104-scrapy_quiz_(get_the_tags).mkv41.9 MB
- 01.105-scrapy_solution_(get_the_tags).mkv16.7 MB
- 01.106-scrapy_next_website.mkv22.2 MB
- 01.107-scrapy_css_selectors_for_movie_names_and_urls.mkv13.8 MB
- 01.108-scrapy_combined_css_selectors_for_movie_names_and_urls.mkv20.4 MB
- 01.109-scrapy_sent_request_to_the_film_info_page.mkv24.6 MB
- 01.11-requests_pagination.mkv33.5 MB
- 01.110-scrapy_merge_data_from_two_callbacks.mkv23.7 MB
- 01.111-scrapy_extracting_movie_duration_and_genres.mkv31.5 MB
- 01.112-scrapy_exporting_the_extracted_data.mkv20.9 MB
- 01.113-scrapy_quiz_(extracting_the_year).mkv29.3 MB
- 01.114-scrapy_solution_(extracting_the_year).mkv42.7 MB
- 01.115-scrapy_getting_director_name_and_url.mkv20.8 MB
- 01.116-scrapy_getting_top_four_movies_of_directors.mkv48.1 MB
- 01.117-scrapy_extracting_data_anomaly_(dont_filter_flag).mkv36.7 MB
- 01.118-scrapy_project_hugo_boss_website_for_scraping.mkv11.3 MB