33 Useful Python Snippets For Everyday Problems With Lists
Immediately start using them…
python
Data Scientists, The 5 Graph Algorithms that you should know
Because Graph Analytics is the future
scikit-and-tensorflow-workbooks/ch03-classification.ipynb at master · bjpcjp/scikit-and-tensorflow-workbooks
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron) - bjpcjp/scikit-and-tensorflow-workbooks
5 Advanced Tips on Python Decorators
Do you want to write concise, readable, and efficient code? Well, python decorators may help you on your journey.
Survival Analysis in Python: A Quick Guide to The Weibull Analysis
A Quick Guide to The Weibull Analysis
fb-prophet/01_docs.ipynb at master · bjpcjp/fb-prophet
Prophet (FB time series prediction package) docs to Python code. - bjpcjp/fb-prophet
category-scatterplot/demo.ipynb at master · bjpcjp/category-scatterplot
Based on scatterplot by Myriam Barnes. A simple to viz categories in a scatter plot. - bjpcjp/category-scatterplot
Creating Beautiful Topography Maps with Python
Who needs GIS when you can build eye-catching 3D topography maps with Python?
PostgreSQL Python
This PostgreSQL Python section shows how to work with PostgreSQL from Python programming language using the psycopg2 database driver.
python-data-science-handbook/seaborn at master · bjpcjp/python-data-science-handbook
Sourced from O'Reilly ebook of the same name.
pycaret-intro/01_intro.ipynb at master · bjpcjp/pycaret-intro
Introductin to PyCaret.
scikit-and-tensorflow-workbooks/ch05-support-vector-machines.ipynb at master · bjpcjp/scikit-and-tensorflow-workbooks
based on "Hands-On Machine Learning with Scikit-Learn & TensorFlow" (O'Reilly, Aurelien Geron) - bjpcjp/scikit-and-tensorflow-workbooks
python-data-science-handbook/numpy at master · bjpcjp/python-data-science-handbook
Sourced from O'Reilly ebook of the same name.
A ~5 minute guide to Numba — Numba 0.52.0.dev0+274.g626b40e-py3.7-linux-x86_64.egg documentation
Python Language Services — Python 3.8.20 documentation
pandas - Python Data Analysis Library
python-data-science-handbook/pandas at master · bjpcjp/python-data-science-handbook
Sourced from O'Reilly ebook of the same name.
The Kaggle Way to Tune Hyperparameters with Optuna
Easily and efficiently optimize your model’s hyperparameters with Optuna with a mini project
Download a YouTube video with in 6 lines of code!
🐍🔥 — Mike Driscoll (@driscollis)
Blankly - Rapidly Build Quant Models Across Exchanges
Build in minutes. Deploy in seconds. Quant workflow reimagined. Built by developers for developers 🚀
Trading Algos - 5 Key Metrics and How to Implement Them in Python
Metrics surround us. Whether you're building the next big thing and need to measure customer churn,...
Python Resources for working with Excel - Working with Excel Files in Pytho
Built-in Exceptions — Python 3.8.20 documentation
Miscellaneous Services — Python 3.8.20 documentation
Cryptographic Services — Python 3.8.20 documentation
Release of IPython 8.0. IPython is a powerful Python REPL that… | by Matthi
IPython is a powerful Python REPL that gives you tab completion, better tracebacks, multiline editing, and several useful features on top…
pandas-tips-tricks/pandas-tips-tricks.ipynb at master · bjpcjp/pandas-tips-tricks
various tips and tricks.
Python Programming And Numerical Methods: A Guide For Engineers And Scienti
5 Python open-source tools to extract text and tabular data from PDF Files
This article is a comprehensive overview of different open-source tools to extract text and tabular data from PDF Files
3 (and Half) Powerful Tricks To Effectively Read CSV Data In Python
Master usecols, chunksize, parse_dates in pandas read_csv().
Mito: One of the Coolest Python Libraries You Have Ever Seen
Here is my take on this cool Python library and why you should give it a try
A Guide to Dimensionality Reduction in Python
Dimensionality reduction is a vital tool for data scientists across industries. Here is a guide to getting started with it.
A Complete Machine Learning Project From Scratch: Setting Up
In this first post in a series on how to build a complete machine learning product from scratch, I describe how to setup your project and tooling.
Probability Distributions with Python’s SciPy
How to Model random Processes with Distributions and Fit them to Observational Data
functools — Higher-order functions and operations on callable objects
Source code: Lib/functools.py The functools module is for higher-order functions: functions that act on or return other functions. In general, any callable object can be treated as a function for t...
Understanding all of Python, through its builtins
Python has a whole lot of builtins that are unknown to most people. This guide aims to introduce you to everything that Python has to offer, through its seemingly obscure builtins.
Getting Started with Streamlit for Data Science
Create, deploy, and test your Python applications, analyses, and models with ease using Streamlit Key Features Learn how to showcase machine learning models in a Streamlit application effectively and efficiently … - Selection from Getting Started with Streamlit for Data Science…
Python Assert Statement — Everything You Need To Know Explained in 5 Minute
Why, when, and how — Learn assert statements in Python right now.
Clustering Made Easy with PyCaret
Low-code Machine Learning with a Powerful Python Library
Streamlit, which helps data scientists build apps, hits version 1.0
Streamlit releases v1.0 of its DataOps platform for data science apps to make it easier for data scientists to share code and components.
Python/DIRECTORY.md at master · TheAlgorithms/Python
All Algorithms implemented in Python.
How to deploy streamlit app to Heroku
Hello everyone, This is a step by step tutorial about how to deploy your Streamlit app to Heroku. ...
Create a Web App in Under Thirty Minutes with Streamlit, MongoDB and Heroku
An aspiring Full Stack Developer’s guide to quickly developing and deploying scalable web applications
A Practical Introduction to 9 Regression Algorithms
Hands-on tutorial to effectively use different Regression Algorithms
If You Can Write Functions, You Can Use Dask
This article is the second article of an ongoing series on using Dask in practice. Each article in this series will be simple enough for beginners, but provide useful tips for real work. The first article in the series is about using LocalCluster.
How to Generate Automated PDF Documents with Python
Leveraging automation to create dazzling PDF documents effortlessly
Scikit-Learn Version 1.0
For a short description of the main highlights of the release, please refer to Release Highlights for scikit-learn 1.0. Legend for changelogs something big that you couldn’t do before., something t...
Beautiful Soup Documentation — Beautiful Soup 4.9.0 documentation
ABZ-Aaron/CheatSheets: Just a place to store cheatsheets
Just a place to store cheatsheets.
15 Python Snippets to Optimize your Data Science Pipeline
Quick Python solutions to help your data science cycle.