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Thanks a lot for your valuable feedback.

Thanks for your valuable comments. Sure, I will create more such lessons.

Thanks for your valuable comments.

Thank you very much. Happy coding.

Thanks for your genuine request. I'm really very sorry to mention that most of my codes are tested in the terminal, or IDEs such as PyCharm. So, no notebook is ready to be shared with you. You may run the codes in Jupyter notebooks yourself. Next time I will remember your request. Thanks, and best wishes.

I am really sorry for this. Actually I didn't notice the mismatch. I should have used some lofi music or no music at all.

Thank you for your valuable feedback. Enjoy coding!

Thank you very much for your feedback. Happy coding.

So nice of you. Thank you very much. Happy coding!

Really sorry, I should have used some soft music. Actual this is one of my initial lessons.

Thank you very much. Happy coding.

Thanks a lot. Enjoy coding.

Thank you very much.

Thanks a lot.

Thanks for your comment. This is a valid requirement. OK, I will try sometime later to prepare such a lesson. You may also try on your own. The concept is the same. Happy coding.

I am really sorry!

Thanks for your encouraging feedback. Happy coding.

So nice of you.

Thanks a lot for your encouraging remarks.

@@SuMyPyLab can you upload data set to practice like explained in vedio

@nasirruddin778 You may download the data from this link github.com/SuMyPyLab/Seaborn/

Thanks a lot for your feedback.

Thanks a lot for your encouraging remarks. Wish you all the best.

Thanks for your encouraging feedback.

Thanks for your encouraging feedback. Sukraan.

Thanks a lot for your valuable feedback.

Happy to hear that. So nice of you. Thanks a lot.

Thank you very much for constructive feedback. I'm really sorry to hear that the background music is annoying. I kept the volume to the minimum so that the voice is heard without any disturbance. I include the background music as a filler to absence of voice. Ok, thanks again, I will keep your view in my mind. Bye!

Thanks for honest comment. The background music is really annoying. I am really sorry for your discomfort. I am no longer using that music. Actually the music is not stupid, rather its wrong usage is. By the way, I deserve a thank for the content!!!

Thanks a lot. And of course I will upload more such lessons.

Thank you very much.

Thank you very much.

Lets try the tetranomial (a+b+c+d)^n. Look in the diagonal and i bet you can guess what is forming. It is very apparent by the time you get to the Octanomial. Coefficients of the binomial 11^n. Tetranomial (11^n)*(101^n). 101^n itself being self similar to 11^n. try(73^n)(137^n). Octanomial coefficients: (11^n)(101^n) (73^n)(137^n) . 1 1 1 1 1 1 2 3 4 3 2 1 1 3 6 10 12 12 10 6 3 1 1 4 10 20 31 40 44 40 31 20 10 41 1 101 10201 1030301 104,060,401@@SuMyPyLab

To make the introduction simple for a beginner, I intentionally did not handled exceptions. Exception handling is covered in my next lesson. Please watch that lesson. The link is given below: czcams.com/video/kRtGYKOI6HI/video.html

Thank your very much for your encouraging remarks. So nice of you.

Thanks for you comments. I have got your problem on twinx(). Please give me some time, I will discuss this in another lesson.

Add the following lines just before your for loop. axIdx=[0,0,0,0,0] This will remove your error. By the way, as said earlier, I will make another lesson on shaing axis. Bye!

Try the following code as an example: import matplotlib.pyplot as plt import numpy as np x = np.arange(0.1, 10.0, 0.1) sine = np.sin(0.2 * np.pi * x) expo = np.exp(x) fig, ax1 = plt.subplots() ax1.set_xlabel('x') ax1.set_ylabel('Exponential', color = 'magenta') ax1.plot(x, expo, color = 'magenta') ax1.tick_params(axis ='y', labelcolor = 'magenta') # Sharing x-axis ax2 = ax1.twinx() ax2.set_ylabel('Sine', color = 'green') ax2.plot(x, sine, color = 'green') ax2.tick_params(axis ='y', labelcolor = 'green') fig.suptitle('twinx demo') plt.grid() plt.show()

Thanks for your valuable feedback. I would like mention here that use cases of relational (MySQL) and non-relational (NoSQL) are quite different. NoSQL databases are used for unstructured data but SQL databases are used for structured data with transactional support. NoSQL stands for Not Only SQL!

@@SuMyPyLabthx

Your observation is praiseworthy. But remember that this is not an issue. Python is a versatile language and it has many libraries and many improvements are happening in every libraries. So having same functionality in two different functions or methods is not uncommon. So we can perform same thing in many different ways. But remember that the performance may be different for each alternative methods.

Thank you very much for your encouraging feedback.

Thanks for your encouraging remarks.

Thanks for your encouraging remarks.

Thanks for your comment. Yes, I do agree with you. I have improved a lot in my next lessons. Thank you again.

I am really sorry to hear that you don't like the background music. Ok, I will keep this in mind next time. I may think of re-upload it without music if possible later. Thanks.

Thank you very much for your encouraging feedback. I will definitely try to do such projects sometime later. Currently I am trying to complete few more useful lessons for intermediate level learners. Kindly wait for sometime. Once again I thank you.

Thank you very much for your valuable feedback. I will keep this in mind. Bye the way, I didn't mind at all. Your honest comment will guide me in future. Wis you all the best.

Thanks a lot for your encouraging words.