Do you want to learn python from me with a lot of interactive quizzes, and exercises? Here is my project-based python learning course: codebasics.io/courses/python-for-beginner-and-intermediate-learners
Cant thank you enough sir, really you are doing great job help others for free ,thats very rare nowadays, glad to see persons like you ,it make me to believe that humanity still exists.
Excellent teaching. Superb!!!! Please also do videos on Tensorflow machine learning. I want to save a trained Tensorflow model and then later use it in some another program. How can I do it? help me please
I understand how using numpy is superior than using lists, but the weakness of numpy seems to be that the shapes of arrays are so important. I would need to make sure that the data need to be made "rectangular/squarish" first by using a calculator (Yes, I'm aware you can make the calculations first using Python).
I have a specific question about Data frame (i went through your GitHub) library and could not find answer. How to reach you for some more clues on problem around iterating through dataframes and calculating values in 3 dimensional dataframe?
Good day codebasics,i wanted to ask you,if this video is the complete course for professionals on python or just for beginners course only? if not can you send me the link to a more advanced course on python, please?
Hi could you upload a video that explains how the numpy class as_strided works ? I have been stuck on this and haven't been able to find a good descriptions anywhere. Thanks.
Hi, please I have a question, you said that the iteration through 2 arrays simultaneously is possible if the arrays have the same shape or if one of the dimentions in one of the arrays is 1 . but it turns out that you have changed the dimentions of the array b of your example from (3,1) to a (4,1) but you had an error although we still have one as dimention greetings from France, your videos are awesome
I think that the best answer would be ( if the shapes are equal) or if at least one of the 2 dimentions are equal in both arrays while the other dimention of one of the 2 arrays is equal to 1. please let me know
It would be great if you show how to do iteration (for loop ) without using modules and built-it python functions, instead by applying logical and arithmetic ways.
Hi I saw your tutorial videos its really useful for me . while I am working on numpy i have stuck with one point. i.e., jagged array concept. Is it possible to bring jagged array in numpy ?
sir, the videos are really help. I have a query regarding reshaping of arrays. For example, if we have input shape of (144,1), we can easily reshape the array by assuming (12x 12 =144 matrix) and then reshape it as x = np.arange (144).reshape (1,12,12). Now my question is : how do we reshape the array if we have input shape of (1048572,1). Please help. ..Thanks
depends on your goal. if you want to become python software engineer than go for data structures etc. if you target data scientist field then do data science with pandas
If i have an array a = np.arange(9).reshape(3, 3) and I define a function such that: def iter_by_row(array): for x in np.nditer(array, order='F'): print(x) But when I do this: print(iter_by_row(a)) My output is: 0 3 6 1 4 7 2 5 8 None Why is the None being printed? Is this normal?
array=np.arange(9).reshape(3,3) def iter_by_row(array): for x in np.nditer(array, order='F'): print(x) iter_by_row(array) try this one you cannot get none .function already print values but again you call print function for call the iter_by_row(array)
Hi Deepak, I would say that the information provided in this series is sufficient to start your projects using numpy. While you are working on your project, based on the application, you will come up with algorithms in which you will use multiple numpy functions to work with. At that time you will know that the numpy docs and stack over flow will be your best friends to know more about the functionalities and how you can utilize them to complete your project. Hope this answers your question.
