29 Comments

  1. Sir kindly make video on these contents.???
    Module 4 Big Data Analytics
    Module Contents:
    • Theoretical and practical foundations of Big Data Analytics
    • Machine Learning for Big Data
    • Business Intelligence and Big Data Visualization
    • Big Database Management System with No SQL Data Stores
    • Infrastructure Development for Real-time Big Data Analytics

  2. hello sir Actually i have one CSV file in which 5 comma separated values are there but csv file size is 66 MB in which 8 lac values are there i want to make a graph from that CSV values for 30,000 values i am able to make graph with in 2 min but for 8 lac values it is taking too much time and sometime time it is showing memory error . Can you please suggest me to what to do to make it faster and efficient . and sometimes it is showing memory error . i need this answer because i am working in performance and scale testing. If you need i can send you that csv file My mail id is Abhishek9044855265@gmail.com

  3. Hello sir, I was wondering if my any chance you could do a elliot wave counter I would be willing to purchase this or maybe you can help me get started. I want to keep track of the count and graph it of course. Jonathanjholloway at gmail please contact me

  4. Hello Harrison! I am looking at the code of this series at the page http://pythonprogramming.net/advanced-matplotlib-graphing-charting-tutorial/ and more specifically to this line

    print str(datetime.datetime.fromtimestamp(int(time.time())).strftime('%Y-%m-%d %H:%M:%S'))

    Which I am trying to decompose. Playing on the shell I have understood that we take the integer part (so until the Second precision) of the current time and transform it to a string formatted YYYY-mm-dd HH:MM:SS.

    But why do we use str() function if we can invoke strftime() directly to the datetime.datetime class?

  5. @sentdex Two questions:
    (1) What version of Python would you recommend for following this tutorial (and the others in the Python Charting tutorial series)?
    (2) As a followup: What version should I use for your other tutorials, especially the beginning Python3 series?

  6. These videos are amazing! Thank you so much. One question…

    I understand programing, very basically. But I have a very poor understanding of all the 'vocabulary' involved. Do you have any suggestions on a quick reference guide to help me remember and understand all the different variables and commands involved in the Python language? I guess a Python for dummies book might help 😛

  7. Hi, I have a question related to plotting.
    Often in Matplotlib, plotted data appears to be normalised. As in, the y axis is set to zero at your first datapoint and the data proceeds from the origin. I can't find anywhere to force the 'de-normalisation' on the y axis in this way. Do you know how to do this? I noticed that you were frustrated about something similar in a later video and thought you could help.
    These series have been immensely helpful, thank you very much.

  8. thank you  so mutch for your brillant and help , i'm just don't how building my database of trade volume and value between developpin countries and between developped countries for las 20 years please help me out for my research this my e-mail  hafedh.othmani@yahoo.fr

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