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2. 5 of the best Python courses available for free this week - AOL

   www.aol.com/5-best-python-courses-available...

   FREE COURSES: Kickstart a new career by learning to code. A wide range of beginner-friendly Python courses are available for free on Udemy. You can spend a lot of money enrolling in some online ...

3. 5 of the best online Python courses you can take for free ...

   www.aol.com/news/5-best-online-python-courses...

   TL;DR: Udemy hosts a wide range of beginner-friendly Python courses, and some of the best examples are available for free for a limited time.If you want to learn to code, you should consider ...

4. Scaler (company) - Wikipedia

   en.wikipedia.org/wiki/Scaler_(company)

   Scaler was founded in 2019 by International Institute of Information Technology, Hyderabad alumni Anshuman Singh and Abhimanyu Saxena. [2]It all started in late 2014 when Saxena, who used to work at Fab.com, partnered with Singh, who had previously worked at Facebook and Directi, to start Interview Bit, a company aimed at preparing students for jobs. [3]

5. scikit-learn - Wikipedia

   en.wikipedia.org/wiki/Scikit-learn

   scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...

6. Project Jupyter - Wikipedia

   en.wikipedia.org/wiki/Project_Jupyter

   Project Jupyter's name is a reference to the three core programming languages supported by Jupyter, which are Julia, Python and R. Its name and logo are an homage to Galileo's discovery of the moons of Jupiter, as documented in notebooks attributed to Galileo. Jupyter is financially sponsored by NumFOCUS. [1]

7. Pyomo - Wikipedia

   en.wikipedia.org/wiki/Pyomo

   Pyomo allows users to formulate optimization problems in Python in a manner that is similar to the notation commonly used in mathematical optimization. Pyomo supports an object-oriented style of formulating optimization models, which are defined with a variety of modeling components: sets, scalar and multidimensional parameters, decision variables, objectives, constraints, equations ...