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PYTHON — Recursive Matching in Python

https://laxfed.dev/python-recursive-matching-in-python-e7bf9c843127

PYTHON — Recursive Matching in Python

The advance of technology is based on making it fit in so that you don’t really even notice it, so it’s part of everyday life. — Bill Gates

1 view23:40

PYTHON — AWS S3 Overview with Python Boto3

https://laxfed.dev/python-aws-s3-overview-with-python-boto3-5dd304bad926

PYTHON — AWS S3 Overview with Python Boto3

Technology is a word that describes something that doesn’t work yet. — Douglas Adams

1 view23:40

PYTHON — Working with Multiple Columns in a Python DataFrame

https://laxfed.dev/python-working-with-multiple-columns-in-a-python-dataframe-6a361435975a

PYTHON — Working with Multiple Columns in a Python DataFrame

The most profound technologies are those that disappear. They weave themselves into the fabric of everyday life until they are…

1 view23:40

PYTHON — Global Namespace in Python

https://laxfed.dev/python-global-namespace-in-python-5b71f20e1ad4

PYTHON — Global Namespace in Python

The best way to predict the future is to invent it. — Alan Kay

1 view23:40

PYTHON — Rock Paper Scissors Game in Python

https://laxfed.dev/python-rock-paper-scissors-game-in-python-f1dc616c78da

PYTHON — Rock Paper Scissors Game in Python

Any sufficiently advanced technology is indistinguishable from magic. — Arthur C. Clarke

1 view23:40

PYTHON — Python Code File Manager

https://laxfed.dev/python-python-code-file-manager-b06aa92a8e78

PYTHON — Python Code File Manager

First, solve the problem. Then, write the code. — John Johnson

1 view23:41

PYTHON — Getting Started with Python’s Map

https://laxfed.dev/python-getting-started-with-pythons-map-4cc657cbe71b

PYTHON — Getting Started with Python’s Map

Without requirements or design, programming is the art of adding bugs to an empty text file. — Louis Srygley

1 view23:41

PYTHON — Text Classification with Keras in Python

https://laxfed.dev/python-text-classification-with-keras-in-python-9fb56105fb40

PYTHON — Text Classification with Keras in Python

Innovation distinguishes between a leader and a follower. — Steve Jobs

1 view23:41

PYTHON — Repr vs Str in Python

https://laxfed.dev/python-repr-vs-str-in-python-7f08a66b46f2

PYTHON — Repr vs Str in Python

Any sufficiently advanced technology is indistinguishable from magic. — Arthur C. Clarke

1 view23:41

Binary Magic: Building BitNet 1.58bit Using PyTorch from Scratch

https://medium.com/@theseriousprogrammer/binary-magic-building-bitnet-1-58bit-using-pytorch-from-scratch-01fa6289db6f

Binary Magic: Building BitNet 1.58bit Using PyTorch from Scratch

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JupyterLab Desktop UI Modes

https://blog.jupyter.org/jupyterlab-desktop-ui-modes-cec528d5e460

JupyterLab Desktop UI Modes

We are pleased to announce UI Mode features recently added to JupyterLab Desktop (JLD). JupyterLab Desktop now provides a convenient way to…

1 view23:41

MlOps — A gentle introduction to Mlflow Pipelines

https://towardsdatascience.com/mlops-a-gentle-introduction-to-mlflow-pipelines-c7bcec88a6ec

MlOps — A gentle introduction to Mlflow Pipelines

Orchestrate your end-to-end machine learning lifecycle with MLflow

1 view23:42

PROXY FUZZING

https://karol-mazurek.medium.com/proxy-fuzzing-4dc77968cfd8

How to build a HTTP based server for proxy fuzzing with Python

1 view23:42

Unveiling Handwritten Text: A Guide to Masking Handwritten Content in Images

https://medium.com/@durgeshrathod.777/unveiling-handwritten-text-a-guide-to-masking-handwritten-content-in-images-71fdada40466

Unveiling Handwritten Text: A Guide to Masking Handwritten Content in Images

Introduction:A comprehensive approach to masking handwritten text using cutting-edge technologies

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Data Analysis with Named Lambda Functions

https://towardsdatascience.com/data-analysis-with-named-lambda-functions-86e095153058

Data Analysis with Named Lambda Functions

You shouldn’t use named anonymous functions in Python. Never. Ever?

1 view23:42

dog[1:5:2] in Python Explained in 15 Seconds

https://zlliu.medium.com/dog-1-5-2-in-python-explained-in-15-seconds-3df9747011e3

dog[1:5:2] in Python Explained in 15 Seconds

# Provided you read pretty fast!

1 view23:42

7 Principles Every Data Scientist Should Follow

https://medium.com/bitgrit-data-science-publication/7-principles-every-data-scientist-should-follow-53cdde88fc69

7 Principles Every Data Scientist Should Follow

Statistical Frameworks to be an Effective Data Scientist

1 view23:43

Forecasting Precipitation Patterns: An Assessment of LSTM Networks for Long-Term Weather Prediction

https://medium.com/@evertongomede/forecasting-precipitation-patterns-an-assessment-of-lstm-networks-for-long-term-weather-prediction-24b8f2b1c0df

Forecasting Precipitation Patterns: An Assessment of LSTM Networks for Long-Term Weather Prediction

1 view23:43

The Time Whisperer - Predicting the Future With LARS Algorithm

https://kaabar-sofien.medium.com/the-time-whisperer-predicting-the-future-with-lars-algorithm-da7e8bfd309c

The Time Whisperer - Predicting the Future With LARS Algorithm

Using LARS to Predict Time Series

1 view23:43

KSML v0.8: new features for Kafka Streams in Low Code environments

https://itnext.io/kafka-streams-markup-language-ksml-v0-8-96b2e71fcafc

KSML v0.8: new features for Kafka Streams in Low Code environments

KSML allows running Kafka Streams applications without requiring any Java programming. Version 0.8 brings some interesting new features.

1 view23:43