Pointers and Objects in Python (Summary)
You now know how Python deals with objects and pointers! You learned about the differences between names and variables, which is important for understanding how Python handles variables. You also saw that you can simulate pointers in Python without sacrificing the memory safety that Python provides.
You can simulate pointers in Python by:
- Using mutable objects as low-overhead pointers
- Creating custom Python objects for ease of use
- Unlocking real pointers with the
ctypesmodule
Congratulations, you made it to the end of the course! What’s your #1 takeaway or favorite thing you learned? How are you going to put your newfound skills to use? Leave a comment in the discussion section and let us know.
Comments & Discussion
Santosh on July 8, 2020
Great job! Loved the flow and presentation.
felixthec on July 8, 2020
:Applause: A very good and informative presentation.
Jordan Rowland on July 11, 2020
This was an awesome lesson! Very clear and concise. Bravo!
Hilman on July 11, 2020
Good presentation. A good refresh for me on C pointer. And this is my first time learning working with C type in python!
mahlenius on July 12, 2020
Great presentation. Very helpful. Its great that he calls out where Python is strong for some problems and weak for others.
thank you
Alex on July 15, 2020
awesome presentation!
andersstenborgmartin on July 15, 2020
Great course, well presented!
carl on July 15, 2020
Nice presentation. Would love to see a more advanced course on using the ctypes module to call C functions for all sorts of argument types and return types.
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DFreyer on July 8, 2020
Very good Presentation. I learned a lot.