Whatโs new in PyCharm 2020.2?
New support for GitHub Pull Requests, in-editor exception preview, and a revamped in-place refactoring experience.
Find out how you can take your productivity to the next level!
Check their official website for more details
New support for GitHub Pull Requests, in-editor exception preview, and a revamped in-place refactoring experience.
Find out how you can take your productivity to the next level!
Check their official website for more details
๐ข announcement ๐ข
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โiampython โ
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I have been working on iampython website from past few months.
This will be a one stop platform for python developers.
https://iampython.com
This is Beta version
Please have a look and signup.
You can ask your questions from this website.
Actual project goes live on 15th Aug with great content and so many features.
Let me know your feedback
โญโโโโโโโฎ
โ โ โโ โ
โโโโโโโโ
โ โ
โLaunching โ
โiampython โ
โ โ
โ โ
โโโโโโโโ
โ โ โ
โฐโโโโโโโฏ
I have been working on iampython website from past few months.
This will be a one stop platform for python developers.
https://iampython.com
This is Beta version
Please have a look and signup.
You can ask your questions from this website.
Actual project goes live on 15th Aug with great content and so many features.
Let me know your feedback
Iampython
Welcome to Python Professional Community
The Professional Network for Python Practitioners & Researchers.
We are more focussed on python related technologies like AI, Blockchain, IoT, AR, VR etc.
We are more focussed on python related technologies like AI, Blockchain, IoT, AR, VR etc.
Handling more than 200 transactions per second using python-rq
What is python-rq ?
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It can be integrated in your web stack easily.
RQ requires Redis >= 3.0.0.
What is python-rq ?
RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It can be integrated in your web stack easily.
RQ requires Redis >= 3.0.0.
I am ordered, mutable, and I don't allow duplicates. What am I?
A tuple
A dictionary
A set
An OrderedDict
A list
A tuple
A dictionary
A set
An OrderedDict
A list
Python facts: OOP concept
super() can be used outside of a class definition.
>>> class A:
x = 10
>>> class B(A):
x = 12
>>> super(B, B).x
10
The super() call can't use the zero or one argument form because the class can't be deduced automatically from the context.
super() can be used outside of a class definition.
>>> class A:
x = 10
>>> class B(A):
x = 12
>>> super(B, B).x
10
The super() call can't use the zero or one argument form because the class can't be deduced automatically from the context.
Join Our Weekly DevSprint Meeting today @9PM IST (from now 45 minutes )
https://us02web.zoom.us/j/84643341101
Topic :
Commonly used python modules in realtime projects
https://us02web.zoom.us/j/84643341101
Topic :
Commonly used python modules in realtime projects
Zoom Video
Join our Cloud HD Video Meeting
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solutionโฆ
The most popular Big Data tools are
Apache Spark,
Apache Kafka, and
Apache Hadoop/MapReduce, followed by Dask and Apache Hive.
We can also use these tools by python with different modules.
Apache Spark,
Apache Kafka, and
Apache Hadoop/MapReduce, followed by Dask and Apache Hive.
We can also use these tools by python with different modules.
Here is the list of commonly used machine learning algorithms.
These algorithms can be applied to almost any data problem:
โ Linear Regression
โ Logistic Regression
โ Decision Tree
โ SVM
โ Naive Bayes
โ KNN
โ K-Means
โ Random Forest
โ Dimensionality Reduction Algorithms
โ Gradient Boosting algorithms
โGBM
โXGBoost
โLightGBM
โCatBoost
These algorithms can be applied to almost any data problem:
โ Linear Regression
โ Logistic Regression
โ Decision Tree
โ SVM
โ Naive Bayes
โ KNN
โ K-Means
โ Random Forest
โ Dimensionality Reduction Algorithms
โ Gradient Boosting algorithms
โGBM
โXGBoost
โLightGBM
โCatBoost
IamPython
The overall market size for chatbots worldwide would be over $1.3B USD by 2024
Topic: DevSprint 011 - Building Next Generation Chatbots
Time: Aug 16, 2020 10:00 AM Mumbai, Kolkata, New Delhi
Join Zoom Meeting
https://us02web.zoom.us/j/84649074835
90 mins to go
Time: Aug 16, 2020 10:00 AM Mumbai, Kolkata, New Delhi
Join Zoom Meeting
https://us02web.zoom.us/j/84649074835
90 mins to go
Zoom Video
Join our Cloud HD Video Meeting
Zoom is the leader in modern enterprise video communications, with an easy, reliable cloud platform for video and audio conferencing, chat, and webinars across mobile, desktop, and room systems. Zoom Rooms is the original software-based conference room solutionโฆ
Popular python based DeepLearning and Machine learning frameworks. https://iampython.com/resource-detail/top-python-deep-learning-frameworks-you-must-know/