Forwarded from Epython Lab (Asibeh Tenager)
Creating a shopping app using Python and Analyzing the data using Pandas
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Thanks for watching!
https://youtu.be/MJuF-4RIvtM
N.B: Don't forget to subscribe to the channel if you are interested to receive more videos
Thanks for watching!
https://youtu.be/MJuF-4RIvtM
YouTube
Creating Shopping app using Python and Analyzing the data using Pandas
In this video, you will learn about creating a simple cosmetics shopping app using dictionary and store the dictionary data into a JSON file for later use.
Analyzing the data using Pandas.
Analyzing the data using Pandas.
Forwarded from Epython Lab
AZOPEAI is a telegram group message manager having AI features.
https://youtu.be/i3U5XpUvmSA
https://youtu.be/i3U5XpUvmSA
YouTube
Telegram Group Message Controller
#ai #python #telegramscraper #telegrambot
Hi, I'm AZOPEAI, a group message manager. I can silently delete the message if I found that the message contains irrelevant words.
Ask your question at https://t.me/epythonlab/
Thanks for watching!
Hi, I'm AZOPEAI, a group message manager. I can silently delete the message if I found that the message contains irrelevant words.
Ask your question at https://t.me/epythonlab/
Thanks for watching!
Poll 08
Which is the most commonly used data storage in the data science world?
Which is the most commonly used data storage in the data science world?
Anonymous Poll
17%
Xml
32%
Json
51%
Csv
❤1
⚙️ Graph Operations in Python
https://www.pythonforbeginners.com/data-structures/graph-operations-in-python
@epythonlab #article
https://www.pythonforbeginners.com/data-structures/graph-operations-in-python
@epythonlab #article
Transforming XML document into pandas dataframe in Python
https://youtu.be/qAaVKCi3wu0
https://youtu.be/qAaVKCi3wu0
YouTube
Transforming XML Document into Pandas DataFrame in Python
#like-share-subscribe
In this video, we have explained how to parse and transform XML documents into pandas DataFrame with example code in python.
If you want to learn online via zoom, contact t.me/asibehtenager on Telegram.
Ask your question at https:…
In this video, we have explained how to parse and transform XML documents into pandas DataFrame with example code in python.
If you want to learn online via zoom, contact t.me/asibehtenager on Telegram.
Ask your question at https:…
Forwarded from Epython Lab
Who are interested to learn Introduction to Python 3 via Zoom with less payment?
If you wanna learn Basic data analytic with python via ZOOM, send message to t.me/asibehtenager on telegram.
If you wanna learn Basic data analytic with python via ZOOM, send message to t.me/asibehtenager on telegram.
Telegram
Asibeh Tenager
Think and then talk.
#CODE_CHALLENGE #PYTHON_LIST #LOOPS #FUNCTIONS
1. Write a function called delete_starting_evens() that has a parameter named lst.
The function should remove elements from the front of lst until the front of the list is not even. The function should then return lst.
For example if lst started as [4, 8, 10, 11, 12, 15], then delete_starting_evens(lst) should return [11, 12, 15].
Make sure your function works even if every element in the list is even!
POST YOUR SOLUTION @Pydiscussion
1. Write a function called delete_starting_evens() that has a parameter named lst.
The function should remove elements from the front of lst until the front of the list is not even. The function should then return lst.
For example if lst started as [4, 8, 10, 11, 12, 15], then delete_starting_evens(lst) should return [11, 12, 15].
Make sure your function works even if every element in the list is even!
POST YOUR SOLUTION @Pydiscussion
#Promotion
Do you want to forward group chat to discord group from multiple telegram groups based on specific criteria? Contact our developer @asibehtenager
Do you want to forward group chat to discord group from multiple telegram groups based on specific criteria? Contact our developer @asibehtenager
Best Neural Networks and Deep Learning Books
[Book] https://github.com/manjunath5496/Neural-Networks-Books
@epythonlab #books
[Book] https://github.com/manjunath5496/Neural-Networks-Books
@epythonlab #books
Do you want to attend an introduction to Flask python based web app alive demo via Zoom on this Friday at 1:00 PM(GMT +3 time zone)? If yes, share this info for others to attend the live demo via Zoom
Anonymous Poll
89%
Yes
11%
No
Forwarded from EGbits
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VIEW IN TELEGRAM
Barriers to Deep Learning
Unfortunately, deep learning is not the solution to every problem.
It has three major barriers:
1. It requires enough data- Deep learning requires a lot of data
2. It requires much computing power- for example:- Google's DeepMind AlphaGo required 1,202 CPUs and 176 GPUs.
3. You probably won't understand why certain decisions were being made, given the complexity and flexibility of these algorithms.
Application of machine learning is one that requires deep learning.
@epythonlab #keynote #deeplearning #machinelearning
Unfortunately, deep learning is not the solution to every problem.
It has three major barriers:
1. It requires enough data- Deep learning requires a lot of data
2. It requires much computing power- for example:- Google's DeepMind AlphaGo required 1,202 CPUs and 176 GPUs.
3. You probably won't understand why certain decisions were being made, given the complexity and flexibility of these algorithms.
Application of machine learning is one that requires deep learning.
@epythonlab #keynote #deeplearning #machinelearning
TensorFlow and Scikit-learn
If you're interested in solving machine learning questions, two of the most popular open-source libraries in the world for solving these problems are TensorFlow and Scikit-learn.
TensorFlow and Scikit-learn, provide any data scientist the ability to use the most advanced techniques in supervised and unsupervised machine learning easily, and for a variety of situations. You can expect that TensorFlow and Scikit-learn will continue to be used for machine learning in both industry and academia for the foreseeable future.
@epythonlab #keynote #tensorflow #scikitlearn
If you're interested in solving machine learning questions, two of the most popular open-source libraries in the world for solving these problems are TensorFlow and Scikit-learn.
TensorFlow and Scikit-learn, provide any data scientist the ability to use the most advanced techniques in supervised and unsupervised machine learning easily, and for a variety of situations. You can expect that TensorFlow and Scikit-learn will continue to be used for machine learning in both industry and academia for the foreseeable future.
@epythonlab #keynote #tensorflow #scikitlearn
Telegram Shilling bots if anyone want
1. Auto search tg group and auto join
2. Silently delete tg group members msg with specific words:
3. Sending group message to discord group
4. Count users message and send winners for every 4 hours
Etc
5. Many more python scripts for your telegram
Msg to @asibehtenager
1. Auto search tg group and auto join
2. Silently delete tg group members msg with specific words:
3. Sending group message to discord group
4. Count users message and send winners for every 4 hours
Etc
5. Many more python scripts for your telegram
Msg to @asibehtenager