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This Edureka Python Flask tutorial will cover all the fundamentals of Flask. It will also explain how you can develop your own website using Flask in Python.
00:26 – Agenda
00:49 – Introduction to Flask
03:14 – Installing Flask
05:40 – Flask Application
09:36 – Routing in Flask
10:56 – Variable Rules in Flask
15:29 – URL Binding in Flask
17:26 – HTTP Methods using Flask
20:56 – Templates in Flask
25:00 – Static Files in Flask
26:22 – Request Objects in Flask
27:36 – Cookies in Flask
30:12 – Redirects and Errors in Flask
32:08 – Flask Extensions
34:05 – Conclusion
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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 Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide a deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in Python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real-life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in Python programming language to enhance your learning experience.
After completing this Machine Learning Certification Training using Python, you should be able to:
Gain insight into the ‘Roles’ played by a Machine Learning Engineer
Automate data analysis using python
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Explain Time Series and it’s related concepts
Gain expertise to handle business in the future, living the present
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Why learn Machine Learning with Python?
Data Science is a set of techniques that enable the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning.
For more information, Please write back to us at sales@edureka.co or call us at IND: 9606058406 / US: 18338555775 (toll free).
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Got a question on the topic? Please share it in the comment section below and our experts will answer it for you. For Edureka Python Course curriculum, Visit our Website: http://bit.ly/2OpzQWw
Hy….for the example at 23:20, i am getting the required result on the local host but as what you have shown, the result is being displayed at the html file location which I am not getting …any idea why is it so?
i dont know why Good video like this is not getting more view and likes. Such an Informative video
Very well explanation and content representation. Edureka is always on top-notch in content delivery .
Thanks for the video. Very informative.
Awesome explanation. Thank you very much.
Super Awesome video for beginners !!!!!
Nice, Thanks !
thank you really hepful
Very useful
loved this, thank you
Great video
18:53 http ref
23:46 Jinga ref
27:14 request object
When I run it with the /hello/name it is showing 404 not found. Please tell me what to do.
Great Tutorial, Just the right amount of information. Great Job done, Keep it up and keep posting more.
When running the program it shows name error
name not defined
Please help
Sir by following your examples, I got output only for hello world…I didn't get any thing for name parameter…If I type http://127.0.0.1:5000/hello/Pavan I am getting 404 not found …. for the below code
from flask import Flask
app = Flask(__name__)
app.route('/hello/<name>')
def hello_name(name):
return "Hello %s!" %name
if _name_ == '__main__':
app.run(debug=True)
After closing Pycharm completely it is still displaying "Hello World" on the browser I think some clarity is required…
Awesome video for basic understanding for beginners
Superb explanation : )
Can we use flask using community edition of pycharm ?
route("/") is working but if I move on to route("/hello<name>") it is not working. can anyone tell what is the reason behind this
I am getting TemplateNotFound when I used to create render_template to html? Can I know the reason why It came and can you tell me how to get the result.
A really good session for beginners.
why am I getting ModuleNotFoundError:No module named 'flask'
Nicely Explained . Keep it up bro 🙂
THIS video is ideal for absolute beginners – although I require something a bit more in depth 🙁 BUT the commentator seams like a very up-beat and cheerful person – keep-up the great work!
It is really an excellent tutorial and easy to understand. I've been practicing the exercises alongside and I am very much familiar with the concept
Well done. Just the right pace.