Python NumPy Tutorial | NumPy Array | Python Tutorial For Beginners | Python Training | Edureka

This tutorial helps you to learn following topics:

1. What is Numpy?
2. Numpy v/s Lists
3. Numpy Operations
4. Numpy Special Functions

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About the Course

Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you:

1. Master the Basic and Advanced Concepts of Python
2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs
3. Master the Concepts of Sequences and File operations
4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python
5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application
6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn
7. Master the concepts of MapReduce in Hadoop
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10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics
11. Master the concepts of Web scraping in Python
12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience
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Why learn Python?

Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

[AmanChaudhary-yerj]

Thank you for an amazing tutorial. Precise and effective!!

[yechihast]

Right to the point, very concise and all the common operations covered. Thank you.

[sivatarun]

How sum will be computed using below lc
[(x, y) for x, y in zip(list1, list2)]

[viraatchandra]

crisp, brief and accurate.... amazing job.... :-)

[anhminhtran]

Awesome tutorial. Very clear, short and concise. Thank you =))

[kishoremohandas]

Thank you very much edureka 😍... I was willing to learn numpy very badly.... We waiting for this vid..🔥

[mrpotatohed]

Very to the point and very clearly laid out thanks

[tarunverma]

Thank you for an amazing tutorial.its Informative and very nicely explained.

[marilyncabral]

Thank you for an amazing tutorial about python. It is very detailed. Awesome Thank you

[tarr]

Thank you for the wonderful session .. very informative and precise..

[bhagyashreeks]

I can understand your teaching perfectly sir great teaching♥️

[atharvashirode]

Nice video.Full of information...especially Numpy vs List..

[anAlokDubey]

Within half an hour, I have learnt basic of numpy :-) Thank you for amazing video. :-)

[articreates]

Easy to understand and concise. Thanks!

[darshb]

Great content and great explanation. Thank you Edureka !

[Abdullah-mgzl]

There is just a small mistake I noticed in the video. I see that you are using python 3 and in python 3 range() does not return a list. It returns a "range" object (which I believe is a generator). Excellent video, thank you!

[muditgoyal]

fast, effective and very informative session.

[pavithran]

Thank you so much for the wonderful session..

[AlkaBhatnagar]

Awesome and very useful video specially for beginners.. thank you..

[TheSambita]

Informative and very nicely explained.