GitHub - romanshalimov/python_analytics: Домашние задания и лекции по курсу "Python для анализа данных" в Netology https://netology.ru/programs/python-for-analytics

Name		Name	Last commit message	Last commit date
Latest commit History 117 Commits
1.7_HW_classes_currencies_CB		1.7_HW_classes_currencies_CB
1.8_laboratory_work		1.8_laboratory_work
Data-journalism		Data-journalism
software_testing		software_testing
АБ_тестирование		АБ_тестирование
.gitignore		.gitignore
1.1_HW_python_basics.ipynb		1.1_HW_python_basics.ipynb
1.1_LEC_python.ipynb		1.1_LEC_python.ipynb
1.2_HW_datatypes_cycles_1.ipynb		1.2_HW_datatypes_cycles_1.ipynb
1.2_LEC_regular_expressions.ipynb		1.2_LEC_regular_expressions.ipynb
1.3_HW_datatypes_cycles_2.ipynb		1.3_HW_datatypes_cycles_2.ipynb
1.3_LEC_search_for_groups_in_VK.ipynb		1.3_LEC_search_for_groups_in_VK.ipynb
1.4_HW_functions.ipynb		1.4_HW_functions.ipynb
1.4_LEC_functions.ipynb		1.4_LEC_functions.ipynb
1.5._LEC_read_files.ipynb		1.5._LEC_read_files.ipynb
1.5_HW_file_system.ipynb		1.5_HW_file_system.ipynb
1.6_HW_exceptions_and_errors.ipynb		1.6_HW_exceptions_and_errors.ipynb
1.6_LEC_exceptions_and_errors.ipynb		1.6_LEC_exceptions_and_errors.ipynb
1.7_LEC_classes_and_Yandex.Metrica.ipynb		1.7_LEC_classes_and_Yandex.Metrica.ipynb
2.1_HW_numpy.ipynb		2.1_HW_numpy.ipynb
2.1_LEC_numpy_and_Word2vec.ipynb		2.1_LEC_numpy_and_Word2vec.ipynb
2.2.1_LEC_clickhouse_and_Docker_desktop.ipynb		2.2.1_LEC_clickhouse_and_Docker_desktop.ipynb
2.2.2_LEC_pandas_and_BeautifulSoup.ipynb		2.2.2_LEC_pandas_and_BeautifulSoup.ipynb
2.2.3_LEC_selenium_authorization.ipynb		2.2.3_LEC_selenium_authorization.ipynb
2.2_HW_pandas_basics.ipynb		2.2_HW_pandas_basics.ipynb
2.3 _HW_pandas_functions.ipynb		2.3 _HW_pandas_functions.ipynb
2.3_LEC_pandas_apply_examples.ipynb		2.3_LEC_pandas_apply_examples.ipynb
2.4_HW_pandas_advanced.ipynb		2.4_HW_pandas_advanced.ipynb
2.4_LEC_SQL_joins and sqlite3.ipynb		2.4_LEC_SQL_joins and sqlite3.ipynb
2.5_HW_web_scraping_BS4.ipynb		2.5_HW_web_scraping_BS4.ipynb
2.5_LEC_web_scraping_BS4.ipynb		2.5_LEC_web_scraping_BS4.ipynb
3.1_HW_basic_statistics.ipynb		3.1_HW_basic_statistics.ipynb
3.1_LEC_basic_statistics.ipynb		3.1_LEC_basic_statistics.ipynb
3.2.1_LEC_pandas_apply_examples.ipynb		3.2.1_LEC_pandas_apply_examples.ipynb
3.2.2_LEC_test_age_lib.py		3.2.2_LEC_test_age_lib.py
3.2.3_LEC_age_lib.py		3.2.3_LEC_age_lib.py
3.2.4_LEC_simple_tests.py		3.2.4_LEC_simple_tests.py
3.2.5_LEC_corona_dataset_visualisation.ipynb		3.2.5_LEC_corona_dataset_visualisation.ipynb
3.2_HW_visualisation.ipynb		3.2_HW_visualisation.ipynb
3.2_LEC_visualisation.ipynb		3.2_LEC_visualisation.ipynb
3.3_HW_random_events.ipynb		3.3_HW_random_events.ipynb
3.3_LEC_random.ipynb		3.3_LEC_random.ipynb
3.4_HW_correlation.ipynb		3.4_HW_correlation.ipynb
3.4_LEC_correlation.ipynb		3.4_LEC_correlation.ipynb
3.5_HW_classification_and_clustering.ipynb		3.5_HW_classification_and_clustering.ipynb
3.7_HW_AB_testing.ipynb		3.7_HW_AB_testing.ipynb
3.8_HW_stat_case_study.ipynb		3.8_HW_stat_case_study.ipynb
7.1_HW_DataLens.url		7.1_HW_DataLens.url
7.2_HW_Excel.xlsx		7.2_HW_Excel.xlsx
7.3_HW_PowerBI.pbix		7.3_HW_PowerBI.pbix
BeautifulSoup_logo.png		BeautifulSoup_logo.png
DIPLOM_WORK.ipynb		DIPLOM_WORK.ipynb
HR.csv		HR.csv
HW1_neural_nets_Shalimov_Roman.ipynb		HW1_neural_nets_Shalimov_Roman.ipynb
HW1_systems_analysis_Shalimov_Roman.ipynb		HW1_systems_analysis_Shalimov_Roman.ipynb
HW2_neural_nets_Shalimov_Roman.ipynb		HW2_neural_nets_Shalimov_Roman.ipynb
HW2_systems_analysis_Shalimov_Roman.ipynb		HW2_systems_analysis_Shalimov_Roman.ipynb
HW3_neural_nets_Shalimov_Roman.ipynb		HW3_neural_nets_Shalimov_Roman.ipynb
HW4_neural_nets_Shalimov_Roman.ipynb		HW4_neural_nets_Shalimov_Roman.ipynb
Numpy_log.png		Numpy_log.png
Pandas_logo.png		Pandas_logo.png
Pandas_profiling.png		Pandas_profiling.png
Plotly_logo.png		Plotly_logo.png
Python_logo.png		Python_logo.png
README.md		README.md
Scikit_learn_logo.png		Scikit_learn_logo.png
SpaceX_Launches_Data.csv		SpaceX_Launches_Data.csv
random.png		random.png
scipy.png		scipy.png
seaborn.jpg		seaborn.jpg
spacex.gif		spacex.gif
water.csv		water.csv

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