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Learn how to launch and grow your project. \n\n---\n\n## Table of Contents\n\n\u003c!-- toc --\u003e\n\n  * [Articles](#articles)\n  * [Awesome Lists](#awesome-lists)\n  * [Books](#books)\n  * [Courses](#courses)\n  * [Podcasts](#podcasts)\n  * [Youtube channels](#youtubechannels)\n  * [Videos](#videos)\n\n\u003c!-- toc stop --\u003e\n\n---\n\n## Articles\n| Number | Name |  Author | \n| :---: | :--- | :---: | \n\n## Awesome Lists\n\u003c!---\nhttps://github.com/bayandin/awesome-awesomeness\n--\u003e\n- Python\n\t- [by @kirang89](https://github.com/kirang89/pycrumbs)\n\t- [by @svaksha](https://github.com/svaksha/pythonidae)\n\t- [by @vinta](https://github.com/vinta/awesome-python)\n\t- [Asyncio](https://github.com/timofurrer/awesome-asyncio) - Asynchronous I/O in Python 3.\n- Big Data\n\t- [by @onurakpolat](https://github.com/onurakpolat/awesome-bigdata)\n\t- [by @zenkay](https://github.com/zenkay/bigdata-ecosystem)\n\t- [Hadoop](https://github.com/youngwookim/awesome-hadoop)\n- [Public Datasets](https://github.com/caesar0301/awesome-public-datasets)\n- Deep Learning\n\t- [by @ChristosChristofidis](https://github.com/ChristosChristofidis/awesome-deep-learning)\n\t- [by @endymecy](https://github.com/endymecy/awesome-deeplearning-resources)\n- [Data Engineering](https://github.com/igorbarinov/awesome-data-engineering)\n- [Streaming](https://github.com/manuzhang/awesome-streaming)\n\n## Books\n| Number | Name |  Author | \n| :---: | :--- | :---: | \n| 01 | [Use a Cabeça! Programação](http://www.altabooks.com.br/use-a-cabeca-programacao.html)| `Paul Barry` |\n| 02 | [Introdução à Programação com Python - 2ª Edição](https://www.amazon.com.br/gp/product/8575224085/ref=as_li_qf_sp_asin_il_tl?ie=UTF8\u0026camp=1789\u0026creative=9325\u0026creativeASIN=8575224085\u0026linkCode=as2\u0026tag=livropython-20)| `Nilo Ney Coutinho Menezes` |\n| 03 | [Automate the Boring Stuff with Python](https://automatetheboringstuff.com/) [CC](https://creativecommons.org/)| `Al Sweigart` |\n| 04 | [Practical Data Science in Python](http://radimrehurek.com/data_science_python/)| `Radim Řehůřek` |\n| 05 | [Learn Data Science](http://learnds.com/)| `Nitin Borwankar`|\n\n## Courses\n| Number | Name | Platform  | Author | \n| :---: | :--- | :---: | :---: |\n| 01 | [Machine Learning - Stanford University](https://www.coursera.org/learn/machine-learning)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n| 02 | [Data Science Math Skills](https://www.coursera.org/learn/datasciencemathskills)|[Coursera](https://www.coursera.org/)| `Daniel Egger, Paul Bendich` |\n| 03 | [Python for Data Science and Machine Learning Bootcamp](https://www.udemy.com/python-for-data-science-and-machine-learning-bootcamp/)|[Udemy](https://www.udemy.com/)| `Jose Portilla` |\n| 04 | [Machine Learning A-Z™: Hands-On Python \u0026 R In Data Science](https://www.udemy.com/machinelearning)|[Udemy](https://www.udemy.com/)| `Kirill Eremenko` |\n| 05 | [Data Science and Machine Learning with Python - Hands On!](https://www.udemy.com/data-science-and-machine-learning-with-python-hands-on/)|[Udemy](https://www.udemy.com/)| `Sundog Education by Frank Kane, Frank Kane` |\n| 06 | [Introduction to Data Science in Python](https://www.coursera.org/learn/python-data-analysis)|[Coursera](https://www.coursera.org/)| `Christopher Brooks` |\n| 07 | [Applied Machine Learning in Python](https://www.coursera.org/learn/python-machine-learning)|[Coursera](https://www.coursera.org/)| `Kevyn Collins-Thompson` |\n| 08 | [Applied Plotting, Charting \u0026 Data Representation in Python](https://www.coursera.org/learn/python-plotting)|[Coursera](https://www.coursera.org/)| `Christopher Brooks` |\n| 09 | [Applied Text Mining in Python](https://www.coursera.org/learn/python-text-mining)|[Coursera](https://www.coursera.org/)| `V. G. Vinod Vydiswaran` |\n| 10 | [Applied Social Network Analysis in Python](https://www.coursera.org/learn/python-social-network-analysis)|[Coursera](https://www.coursera.org/)| `Daniel Romero` |\n| 11 | [Machine Learning Foundations: A Case Study Approach](https://www.coursera.org/learn/ml-foundations)|[Coursera](https://www.coursera.org/)| `Carlos Guestrin, Emily Fox` |\n| 12 | [Machine Learning: Regression](https://www.coursera.org/learn/ml-foundations)|[Coursera](https://www.coursera.org/)| `Carlos Guestrin, Emily Fox` |\n| 13 | [Machine Learning: Classification](https://www.coursera.org/learn/ml-classification)|[Coursera](https://www.coursera.org/)| `Carlos Guestrin, Emily Fox` |\n| 14 | [Machine Learning: Clustering \u0026 Retrieval](https://www.coursera.org/learn/ml-clustering-and-retrieval)|[Coursera](https://www.coursera.org/)| `Carlos Guestrin, Emily Fox` |\n| 15 | [Neural Networks and Deep Learning](https://www.coursera.org/learn/neural-networks-deep-learning)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n| 16 | [Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization]()(Próxima sessão: Aug 15 — Sep 11.)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n| 17 |[Structuring Machine Learning Projects]()(Próxima sessão: Aug 15 — Sep 4.)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n| 18 | [Convolutional Neural Networks]()(Em Breve)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n| 19 | [Sequence Models]()(Em Breve)|[Coursera](https://www.coursera.org/)| `Andrew Ng` |\n\n## Podcasts\n| Number | Name | Platform  | Author | \n| :---: | :--- | :---: | :---: |\n|01|[DatabaseCast  2: Mineração de dados](http://databasecast.com.br/wp/databasecast-2-mineracao-de-dados/)| [DatabaseCast](http://databasecast.com.br/wp/sample-page/) | `Mauro Pichiliani, Wagner Crivelini, Ary Bressane` |\n|02|[DatabaseCast 53: Cientista de dados](http://databasecast.com.br/wp/databasecast-53-cientista-de-dados/)| [DatabaseCast](http://databasecast.com.br/wp/sample-page/) | `Mauro Pichiliani, Wagner Crivelini, Marcelo Glauco` |\n|03|[DatabaseCast 67: Data science na prática](http://databasecast.com.br/wp/databasecast-67-data-science-na-pratica/)| [DatabaseCast](http://databasecast.com.br/wp/sample-page/) | `Mauro Pichiliani, Wagner Crivelini, Diego Nogare, Tantravahi Aditya` |\n|04|[DatabaseCast 72: Ecossistema Hadoop](http://databasecast.com.br/wp/databasecast-72-ecossistema-hadoop/)| [DatabaseCast](http://databasecast.com.br/wp/sample-page/) | `Mauro Pichiliani, Wagner Crivelini, Felipe Gasparini` |\n|05|[DatabaseCast 74: Estatísticas](http://databasecast.com.br/wp/databasecast-74-estatisticas/)| [DatabaseCast](http://databasecast.com.br/wp/sample-page/) | `Mauro Pichiliani, Wagner Crivelini, Ricardo Rezende, Fabiano Amorim` |\n|06|[Dev na estrada #56 - Data Science](http://devnaestrada.com.br/2016/06/03/data-science.html)| [DNE](http://devnaestrada.com.br/) |`Fellipe Azambuja, Igor Leroy, Ramon Sanches, Raony Guimaraes` |\n|07|[Dragões de Garagem #43 Estatística](http://dragoesdegaragem.com/podcast/dragoes-de-garagem-43-estatistica/)| [Dragões de Garagem](http://dragoesdegaragem.com/sobre/) | `Luciano Queiroz, Lucas Camargos, Bruno Spacek, Rafael Calsaverini` |\n|08|[Dragões de Garagem #92 Inteligência artificial](http://dragoesdegaragem.com/podcast/dragoes-de-garagem-92-inteligencia-artificial/)| [Dragões de Garagem](http://dragoesdegaragem.com/sobre/) | `Lucas Camargos, Victor Caparica, Camila Laranjeira, Kherian Gracher, Antonio Nazaré, Igor Bastos` |\n|09|[Nerd Tech #5 - Machine Learning](https://jovemnerd.com.br/nerdcast/nerdtech/machine-learning/)| [NerdTech](https://jovemnerd.com.br/playlist/nerdtech/) | `Caio Gomes, Guilherme Silveira, Paulo Silveira` |\n|10|[PODEntender #019 Sobre Deep Learning](http://dragoesdegaragem.com/podentender/019-sobre-deep-learning)| [PODEntender](http://dragoesdegaragem.com/podentender) | `Antonio Marinho(Tonho), Carol Lacerda, Fábio Neves(Dalton), Dave Canton` |\n\n\u003ch2 id=\"youtubechannels\"\u003eYoutube channels\u003c/h2\u003e\n\n| Number | Name | Author | \n| :---: | :--- | :---: |\n|01|[Peixe Babel](https://www.youtube.com/user/CanalPeixeBabel)| `Camila Laranjeira` |\n|02|[Deep Learning TV](https://www.youtube.com/channel/UC9OeZkIwhzfv-_Cb7fCikLQ)| `Jagannath Rajagopal` |\n|03|[Nat and Friends](https://www.youtube.com/NatAndFriends)| `Natalie Hammel` |\n|04|[Sirajology](https://www.youtube.com/channel/UCWN3xxRkmTPmbKwht9FuE5A)| `Siraj Raval` |\n\n## Videos\n| Number | Name | Author | \n| :---: | :--- | :---: |\n|01|[Getting Started with Machine Learning and Python](https://youtu.be/rCsbaHhvxfI)| `Bruno Godoi Eilliar` |\n\n\n## License\n\n[![CC0](http://mirrors.creativecommons.org/presskit/buttons/88x31/svg/cc-zero.svg)](https://creativecommons.org/publicdomain/zero/1.0/)\n","created_at":"2024-01-04T18:15:23.278Z","updated_at":"2026-04-23T11:00:30.157Z","primary_language":null,"list_of_lists":false,"displayable":true,"categories":["Awesome Lists","Courses","Books","Podcasts","Videos","License"],"sub_categories":[],"projects_url":"https://awesome.ecosyste.ms/api/v1/lists/datascience-python%2Fawesome-datascience-python/projects"}