Multithreading In Python | Python Multithreading Tutorial | Python Tutorial For Beginners | Edureka

///Multithreading In Python | Python Multithreading Tutorial | Python Tutorial For Beginners | Edureka

Multithreading In Python | Python Multithreading Tutorial | Python Tutorial For Beginners | Edureka

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** Python Certification Training: **
This Edureka Live video on ‘Multithreading in Python” will help you understand the concept of threading in python. Below are the topics covered in this live video:

What is multitasking in Python?
Types of multitasking
What is a thread?
How to achieve multithreading in Python?
When to use multithreading?
How to create threads in Python?
Advantages of multithreading

Python Tutorial Playlist:
Blog Series:

#Edureka #EdurekaPython #MultithreadinginPython #pythonprogramming #pythontutorial #PythonTraining

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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!

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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
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.

Who should go for python?

Edureka’s Data Science certification course in Python is a good fit for the below professionals:
· Programmers, Developers, Technical Leads, Architects
· Developers aspiring to be a ‘Machine Learning Engineer’
· Analytics Managers who are leading a team of analysts
· Business Analysts who want to understand Machine Learning (ML) Techniques
· Information Architects who want to gain expertise in Predictive Analytics
· ‘Python’ professionals who want to design automatic predictive models

For more information, Please write back to us at or call us at IND: 9606058406 / US: 18338555775 (toll free)


By |2021-01-05T11:40:29+00:00January 5th, 2021|Python Video Tutorials|10 Comments


  1. edureka! January 5, 2021 at 11:40 am - Reply

    Got a question on the topic? Share it in the comment section below. Please drop a comment if you need the data-sets and codes discussed in this video. For Edureka Python Data Science Course curriculum, Visit our Website: Use code "YOUTUBE20" to get Flat 20% off on this training.

  2. monty d January 5, 2021 at 11:40 am - Reply

    awesome video, clear

  3. Padma Prabhala January 5, 2021 at 11:40 am - Reply

    Well explained ma'am

  4. kalanthar jaheer January 5, 2021 at 11:40 am - Reply

    Best mode of teaching Mam,

  5. Jophy Kannasseril January 5, 2021 at 11:40 am - Reply

    Great teaching

  6. Saravanan Jothilingam January 5, 2021 at 11:40 am - Reply

    Thanks for this wonderful training which is really helpful for beginners!

  7. Machu Dipadihai January 5, 2021 at 11:40 am - Reply

    Simple and easy-to-understand introduction. Good work 🐈

  8. Brahmaiahchowdary M January 5, 2021 at 11:40 am - Reply

    Nice Explanation 👌

  9. skills and honor January 5, 2021 at 11:40 am - Reply


  10. Dennis Kamau January 5, 2021 at 11:40 am - Reply

    Well explained!!!

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