Numpy Tutorial – Best Python Packages Series (FAST!)




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Learn everything you need to know about numpy really fast!
Use the full strength of the python Package Numpy to do advanced scientific computing operations.

Full code walkthrough and tutorial on how to use numpy.

Find the full code of this example here:
https://github.com/Derrick-Sherrill/DerrickSherrill.com/blob/master/numpytutorial.py

Different data types:
bool_ = Boolean as byte
int32 = integers (-2147483648 to 2147483647)
int64 = integers (-9223372036854775808 to 9223372036854775807)
float32 = single precision float
float64 = double precision float
complex64 & complex128 = complex number data types
U16, U32, U64 = strings (unicode)

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Code from this tutorial and all my others can be found on my GitHub:
https://github.com/Derrick-Sherrill/DerrickSherrill.com

Check out my website:
https://www.derricksherrill.com/

If you liked the video – please hit the like button. It means more than you know. Thanks for watching!!

Useful Links
—————————————————————————————————————–
Python Download:
https://www.python.org/downloads/
(Remember Python 3 is the future!)

I use Atom Text Editor for all my tutorials
Atom Text Editor:
https://atom.io/

Packages I often use in Python tutorials:
-Pandas
https://pandas.pydata.org/pandas-docs/stable/
-Numpy
https://www.numpy.org/
-xlrd
https://xlrd.readthedocs.io/en/latest/
-TensorFlow
https://www.tensorflow.org/api_docs/python
-Matplotlib
https://matplotlib.org/
-Django Framework
https://www.djangoproject.com/
-Beautiful Soup
https://www.crummy.com/software/BeautifulSoup/
(Install through Terminal $pip3 install ….)

Other Useful Services sometimes featured:
-Amazon Web Services (AWS)
https://aws.amazon.com/
-Microsoft Azure
https://azure.microsoft.com/en-us/
-Google Cloud
https://cloud.google.com/
-Juypter Notebooks
https://jupyter.org/

Always looking for suggestions on what video to make next — leave me a comment with your project! Happy Coding!

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Comment List

  • Derrick Sherrill
    November 23, 2020

    Have you worked on fuzzywuzzy package ? I have a 46k excel file with address column which i have to matching against 6 million file. is there any better way of matching names and addresses in python ?

  • Derrick Sherrill
    November 23, 2020

    Good job, man. Awesome video. Do you do private tutoring too?

  • Derrick Sherrill
    November 23, 2020

    U rock!

  • Derrick Sherrill
    November 23, 2020

    can you help me in mergin multiple xlsx files in one file

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