Python Tutorial | Python Tutorial for Beginners | Python Training | Edureka

This Edureka Python tutorial (Python Tutorial Blog: will help you in understanding the various fundamentals of Python programming with examples in detail .
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This Python tutorial video helps you to learn following topics:

0:58 – Introduction to Python
2:27. Who uses Python
3:46 . Features of Python
10:34 . Operators in Python
34:48. Datatypes in Python
1:09:30. Flow Control
1:34:18 . Functions in Python
1:40:11. File Handling in Python

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#Python #Pythontutorial #Pythononlinetraining #Pythonforbeginners

How it Works?
1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24×7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate!

– – – – – – – – – – – – – – – – –

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
8. Learn to write Complex MapReduce programs
9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python
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.
For more information, please write back to us at
Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867



Deepak George says:

Awesome trainer

Chitra Agrawal says:

wll explained

Mitesh Gandhi says:

Very easy to understand with all the clarity. Thanks.

divya paludya says:

please define every new word ex:symantic

Zain Baloch says:

hi, thanks it was a nice tutorial. However, can I ask you about the power-point, is it possible for you to email the copy of this power-point to my email:

Obedient Zombie says:

Great stuff. very well explained. The content is very well organised. Thumbs up to this one.

One Question though: [at 1:39:57] In the fibonacci series example.

The user defined function is already printing out the value of ca. Why do we need to use print while calling the fibo function. Should it not print anyways ?

When I run this code I get a weird output.

Plz enter the range: 11
(2, ‘n’)
(4, ‘n’)
(8, ‘n’)
(16, ‘n’)
(32, ‘n’)
(64, ‘n’)
(128, ‘n’)
(256, ‘n’)
(512, ‘n’)
(1024, ‘n’)
(2048, ‘n’)

This does not look right. Kindly help

amine kaouche says:

Thank you very much it is so helpfull video

Deepak N says:

nice Neeraj. awesome training, Me and my friend learned a lot.

Ajay Kumar says:

good stuff

Jason Deb says:

sir u are really good

sonali pawar says:

Very helpful tutorial…. Thanks for sharing.. :)
There is a typo at 53:47 slide… ‘Lists’ are defined using square brackets

sneha kapse says:

Started today and hoping will swich job to data science with self project , thank u sir for free tutorial it will help like us people who cant afford fees

lonasa das says:

It helped me to pass my test

md danish says:

hello sir
can you provide me the link of pycharm version which you have showed in the tutorial

Basant Garia says:

bro do u think I can python competly here or should I have to purchase some books for this I m a beginner

Prabhat Karn says:

hello sir, i’m facing challenges in installing pycharm, what do i do?

Sana Siva says:

can you tell me how to download those ppt slides

sainath reddy says:

hi can i have continuation video for this video where i can learn more on file handling and file management

thank you

gopi nani says:

when will be the classes for python will start in edurekha.At what cost

Skyy Banerjee says:

Okayyy.. M starting Python with u.. Wish me luck!!! I subscribed!!! 😉

vs nakul says:

pls help sir,i dont know where to start my project in python

Ivan Mutaasa says:

its awesome, i like it and thank you for the effort to teach us

Sowjanya Vinod says:

Unable to use assigment and comparision operator.

Ken Nguyen says:

Great presentation! Thank you!

Sumit Shinde says:

Thanks heap!

Den Syd says:

Great and clear tutorial for first introduction. Thank you for your effort and time.

Prabakaran S says:

Great session Neeraj. It is very clear and good explanations. Thanks to you & your team!

Ben Dover says:

Thank you, this is a great tutorial!

Sanu Joseph says:

Nice Tutorial!

Vimlesh Gupta says:

Can you please share the ppt?

Mohit Garg says:

thank u so much sir
really very helpful tutorial!!
great job sir
again thank u so much

Regular Motivation says:

where to use assignment operators


Is Python basis for Data analytics and Data science?

Navin Taneja says:

installation steps should have been little more detailed, got it after 4 attempts :) but nice video. loved it

ajay sm says:

very good training session

Wola Adedeji says:

hello, my python version 2.5 does not support set literal expressions
my_set = {1,2,4,6,10,5,2,1}
my_set_1 = {1,5,7,9,10,3,1}

C:Python25python.exe C:/Users/Wola/.PyCharmCE2017.1/config/scratches/
  File “C:/Users/Wola/.PyCharmCE2017.1/config/scratches/”, line 1
    my_set = {1,2,5,7,5,10,8,2,1}
SyntaxError: invalid syntaxProcess finished with exit code 1

what can i do please?

gadhiraju praveenvarma says:

thanku soo much.i have understand clearly

DCOD Infotainment says:

Nice Tutorial.

Gaurav Kumar Singh says:

is this is useful to understand or learn other codes likes java and c

Meet Sinojia says:

Why are there so many videos of edureka covering python basics? Many cover the same operators, data types and all basics. Which one to watch? You could have a series each explaining different concepts.

Michael Ogbeifun says:


matt peacock says:

its nice,but can i get the ppt file?

trenholme lodge says:

agreat tutorial, if only he would speak a little more slowly. Words go by almost before they make an impression.

Akintunde Akintola says:

do i need to download a different compiler for python?

Shouvik guchhait says:

what is the interpreter works?

Sankarsan Choudhury says:


auf shaikh says:


Diva kar says:

nice for Beginners

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