21 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?

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