Sumber Daring

Kursus

• https://software-carpentry.org/

• https://learn.saylor.org/course/view.php?id=439

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-189-a-gentle-introduction-to-programming-using-python-january-iap-2011/

• https://www.udacity.com/course/introduction-to-python--ud1110

• https://www.coursera.org/specializations/python

  • https://www.coursera.org/learn/python

  • https://www.coursera.org/learn/python-data

• https://www.edx.org/course/python-basics-for-data-science

• https://www.edx.org/xseries/mitx-computational-thinking-using-python

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/

• https://www.coursera.org/learn/python-data-analysis

• https://www.coursera.org/projects/python-for-data-analysis-numpy

• https://www.edx.org/course/probability-and-statistics-in-data-science-using-p

• https://www.edx.org/course/python-for-data-science-2

• https://www.udacity.com/course/intro-to-data-science--ud359

• https://www.edx.org/course/analyzing-data-with-python

• https://www.udacity.com/course/data-structures-and-algorithms-in-python--ud513

• https://www.edx.org/course/data-analysis-essentials

• https://www.edx.org/course/data-analytics-for-everyone

• https://www.edx.org/course/essentials-of-data-literacy

• https://www.edx.org/course/computing-for-data-analysis

• https://www.edx.org/micromasters/mitx-statistics-and-data-science

• https://www.edx.org/course/visualizing-data-with-python

• https://runestone.academy/

• https://www.edx.org/course/statistics-computation-and-applications

• https://www.udacity.com/course/intro-to-data-analysis--ud170

• 6.036 Introduction to Machine Learning

• https://www.edx.org/course/machine-learning-with-python-a-practical-introduct

• https://www.edx.org/course/machine-learning-fundamentals-2

• https://www.edx.org/course/data-science-machine-learning

• https://www.edx.org/course/machine-learning-for-data-science-and-analytics

• https://www.udacity.com/course/intro-to-machine-learning--ud009app

• https://www.udacity.com/course/intro-to-machine-learning--ud120

• https://www.udacity.com/course/machine-learning--ud262

• https://www.udacity.com/course/intro-to-relational-databases--ud197

• https://www.coursera.org/learn/python-machine-learning

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-034-artificial-intelligence-fall-2010/

• https://www.edx.org/course/predictive-analytics-using-machine-learnin

• ttps://www.edx.org/course/Data-Science-for-Construction-Architecture-and-Engineering

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-033-computer-system-engineering-spring-2018/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-005-software-construction-spring-2016/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-006-introduction-to-algorithms-spring-2020/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-0002-introduction-to-computational-thinking-and-data-science-fall-2016/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-090-building-programming-experience-a-lead-in-to-6-001-january-iap-2005/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s191-introduction-to-deep-learning-january-iap-2020/

• https://ocw.mit.edu/courses/chemical-engineering/10-01-ethics-for-engineers-artificial-intelligence-spring-2020/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-436j-fundamentals-of-probability-fall-2018/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-spring-2015/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-171-software-engineering-for-web-applications-fall-2003/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-170-laboratory-in-software-engineering-fall-2005/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s191-introduction-to-deep-learning-january-iap-2020/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-s897-machine-learning-for-healthcare-spring-2019/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-830-database-systems-fall-2010/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-821-programming-languages-fall-2002/

• https://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-820-fundamentals-of-program-analysis-fall-2015/

• https://learn.saylor.org/course/view.php?id=28

Buku Daring

• http://jsforcats.com/

• https://problemsolvingwithpython.com/

• https://software-carpentry.org/

• Learning Scientific Programming with Python

• https://pymbook.readthedocs.io/en/latest/

• https://www.py4e.com/

  • https://www.py4e.com/book

• https://python.swaroopch.com/

  • https://github.com/swaroopch/byte-of-python

• https://learnpythonthehardway.org/book/

• https://greenteapress.com/thinkpython/html/index.html

  • https://greenteapress.com/wp/

• https://howtothink.readthedocs.io/en/latest/

• https://runestone.academy/ns/books/published//pythonds/index.html

• https://runestone.academy/ns/books/published//fopp/index.html

• https://inventwithpython.com/

• https://docs.python.org/3/tutorial/index.html

• http://exploreflask.com/en/latest/

• https://jakevdp.github.io/PythonDataScienceHandbook/

• https://github.com/ossu/data-science

Tutorial & Artikel

• https://hakin9.org/list-of-free-python-resources/

• https://riptutorial.com/python

• https://learnxinyminutes.com/docs/python/

• https://docs.python-guide.org/

• https://github.com/amontalenti/elements-of-python-style

• https://www.learnpython.org/

• https://thepythonguru.com/

• https://pythonspot.com/all-tutorials/

• https://anandology.com/python-practice-book/

• https://stephensugden.com/crash_into_python/

• https://stackabuse.com/tag/python/

• https://pbpython.com/

• https://www.pythonforbeginners.com/

• https://www.fullstackpython.com/

• http://www.alan-g.me.uk/l2p/index.htm

• https://dev.to/

• Microsoft

  • https://docs.microsoft.com/en-us/learn/paths/python-first-steps/

  • https://docs.microsoft.com/en-us/learn/paths/python-language/

    • https://docs.microsoft.com/en-us/learn/modules/intro-to-python/

  • https://docs.microsoft.com/en-us/learn/paths/python-partnership/

Repo Contoh Kode

• https://github.com/leriomaggio/python-in-a-notebook

Numpy

• https://www.tutorialspoint.com/numpy/index.htm

• https://numpy.org/doc/stable/user/quickstart.html

• https://numpy.org/doc/stable/user/basics.html

• https://www.edureka.co/blog/python-numpy-tutorial/

• https://realpython.com/numpy-tutorial/

• https://www.datacamp.com/community/tutorials/python-numpy-tutorial

• https://python-course.eu/numerical-programming/introduction-to-numpy.php

• https://www.geeksforgeeks.org/numpy-tutorial/

• https://www.tutorialspoint.com/numpy/index.htm

• https://www.w3schools.com/python/numpy/numpy_intro.asp

• https://www.w3schools.com/python/numpy/default.asp

• https://www.simplilearn.com/tutorials/python-tutorial/numpy-tutorial

• https://www.analyticsvidhya.com/blog/2020/04/the-ultimate-numpy-tutorial-for-data-science-beginners/

• https://cs231n.github.io/python-numpy-tutorial/

• https://blog.finxter.com/numpy-tutorial/

Pandas

• https://pandas.pydata.org/docs/user_guide/10min.html

• https://pandas.pydata.org/getting_started.html

• https://pandas.pydata.org/docs/

• https://www.w3schools.com/python/pandas/default.asp

• https://www.datacamp.com/community/tutorials/pandas-tutorial-dataframe-python

• https://www.edureka.co/blog/python-pandas-tutorial/

• https://python-course.eu/numerical-programming/introduction-to-pandas.phphttps://stackabuse.com/beginners-tutorial-on-the-pandas-python-library/

• https://www.kaggle.com/learn/pandas

• https://www.geeksforgeeks.org/pandas-tutorial/

• https://data36.com/pandas-tutorial-1-basics-reading-data-files-dataframes-data-selection/

• https://www.learndatasci.com/tutorials/python-pandas-tutorial-complete-introduction-for-beginners/

• https://www.tutorialspoint.com/python_pandas/index.htm

• https://towardsdatascience.com/introduction-to-pandas-hands-on-tutorial-part-one-2e74f35ab166

• https://cloudxlab.com/blog/numpy-pandas-introduction/

• https://www.guru99.com/python-pandas-tutorial.html

• https://www.simplilearn.com/tutorials/python-tutorial/python-pandas

• https://github.com/pktparticle/python-pandas

• https://ourcodingclub.github.io/tutorials/pandas-python-intro/

• https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html

• https://www.hackerearth.com/practice/machine-learning/data-manipulation-visualisation-r-python/tutorial-data-manipulation-numpy-pandas-python/tutorial/

• https://researchdatapod.com/introduction-pandas-complete-tutorial-beginners/

• https://www.projectpro.io/data-science-in-python-tutorial/pandas-introductory-tutorial-part-1

• https://likegeeks.com/pandas-tutorial/

• https://www.dataquest.io/blog/tutorial-time-series-analysis-with-pandas/

• https://dev.to/gagande90/pandasgui-an-gui-interface-for-pandas-library-bp6

• https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html

SymPy

• https://docs.sympy.org/latest/tutorial/index.html

• https://www.tutorialspoint.com/sympy/sympy_quick_guide.htm

• https://zetcode.com/python/sympy/

• https://riptutorial.com/sympy

• https://omz-software.com/pythonista/sympy/tutorial/index.html

• https://scipy-lectures.org/packages/sympy.htm

• https://www.pydy.org/examples/beginners_tutorial.html

• https://www.geeksforgeeks.org/python-getting-started-with-sympy-module/

• https://vknight.org/pfm/tools-for-mathematics/02-algebra/tutorial/main.html

• https://bit.ly/3K4xmsN

• https://www.linkedin.com/learning/python-for-engineers-and-scientists

Komersial

• https://www.codecademy.com/

• https://www.datacamp.com/

• https://www.dataquest.io/

• https://www.linkedin.com/learning/numpy-data-science-essential-training

• https://www.coursera.org/specializations/python

• https://www.coursera.org/specializations/python-3-programming

• https://www.coursera.org/specializations/statistics-with-python

• https://www.coursera.org/specializations/data-science-python

• https://www.coursera.org/specializations/introduction-data-science

• https://www.coursera.org/learn/python-for-applied-data-science-ai

• https://www.coursera.org/specializations/data-science-fundamentals-python-sql

• https://www.educative.io/path/python-for-programmers

• https://www.educative.io/path/python-data-analysis

• https://www.educative.io/path/become-a-flask-developer

• https://www.edureka.co/data-science-python-certification-course

• https://www.simplilearn.com/big-data-and-analytics/python-for-data-science-training

• https://intellipaat.com/python-for-data-science-training/

• https://www.pluralsight.com/paths/core-python

• https://mindmajix.com/python-training

• https://mindmajix.com/data-science-with-python-training

• https://mindmajix.com/machine-learning-with-python-training

• https://www.jigsawacademy.com/data-science-with-python-course/

• https://teamtreehouse.com/techdegree/python-development

• https://mindmajix.com/artificial-intelligence-course-training

• https://teamtreehouse.com/techdegree/data-analysis

Podcast

1. https://realpython.com/podcasts/rpp/

2. https://talkpython.fm/

3. https://www.pythonpodcast.com/

4. https://pythonbytes.fm/

5. https://www.teachingpython.fm/episodes

Regex

1. .

2. https://regex101.com/

3. https://regexlearn.com/learn/regex101

4. https://www.programiz.com/python-programming/regex

5. https://regexone.com/

6. https://www.hackerrank.com/domains/regex

7. https://pynative.com/python/regex/

8. https://regexone.com/