Data Structures and Algorithms in Python | Python Programming Tutorial | Python Training | Edureka

This Edureka video on ''Data Structures and Algorithms in Python" will help you understand all the Data Structures and Algorithms along with their implementations in Python. Here are the topics that are covered in this Python Programming Tutorial video:

1:12 Data Structures in Python
2:00 Built-in Data Structures
6:24 User-defined Data Structures
9:10 What are Algorithms?
10:40 Elements of a Good Algorithm
11:12 Algorithm Classes
11:52 Tree Traversal Algorithms
17:29 Sorting Algorithms
30:51 Searching Algorithms
35:38 Algorithm Analysis

#Edureka #PythonEdureka #DataStructuresandAlgorithmsinPython #pythonProgramming #pythonTutorial #PythonTraining

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1. This is a 5 Week Instructor-led Online Course,40 hours of assignment and 20 hours of project work
2. We have a 24x7 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.

[vishant]

Provide series of data structures in Python

[HariKrishna-qhzp]

One of the most beautifully organized videos I have ever seen on Data structures and the tutor's voice is a bonus. Very happy to be educated by you. Thank you very much

[ElliyahuRosha]

Awesome overview!
If u can do a video about implementing user-defined data-structures, it would be great!

[imranahmad]

Data Structure = 01:08 - 09:07
Algorithm = 09:08 - end

[sainathsingineedi]

Better if user defined data structures implementation included:)

[aloktiwari]

Literally awesome way of teaching💖
Thanks for the video

[manfredmkmako]

Splendid video guys,
I've. always waited to watch a good video about data structures

[automationtesting]

Really useful information. Keep up the good work!!!

[vinaykumar-qqwq]

Thanks edureka. I'm looking for something like this. 👏👏👏

[philipmutua]

I like this, very straight forward and easy to grasp the concepts.

[jimmymesa]

What does it mean that lists are ordered but sets are unordered?

[rajnikanth]

Nice video on algorithms, i really liked it and learned quite a few new things

[kunalsoni]

ma'am your voice is so so beautiful😍😊😊. and the explanation is great...

[sci-sim]

Well explained, i love that. Keep bringing the best of your teaching experience.