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Practical Business Python

One of the most basic analysis functions is grouping and aggregating data. In some cases, this level of analysis may be sufficient to answer business questions. In other instances, this activity might be the first step in a more complex data science analysis. In pandas, the groupby function can be combined with one or more aggregation functions ... Visit website

Automating Windows Applications Using COM

pywin32. The pywin32 package has been around for a very long time. In fact, the book that covers this topic was published in 2000 by Mark Hammond and Andy Robinson. Despite being 18 years old (which make me feel really old :), … Visit website

Recommended Resources - Practical Business Python

This is a useful resource when it comes to figuring out how to apply technology in a complicated business setting. Effective Pandas by Tom Augspurger is a short book that is a collection of several of his blog posts. It does a fabulous job of describing idiomatic pandas code. This book is best for someone that has basic python understanding and ... Visit website

Monte Carlo Simulation with Python - Practical Business …

The real “magic” of the Monte Carlo simulation is that if we run a simulation many times, we start to develop a picture of the likely distribution of results. In Excel, you would need VBA or another plugin to run multiple iterations. In python, we can use a for loop to run as many simulations as we’d like. Visit website

Practical Business Python - - Page 2

In 2016, Microsoft launched Windows Subsystem for Linux (WSL) which brought robust unix functionality to Windows.In May 2019, Microsoft announced the release of WSL 2 which includes an updated architecture that improved many aspects of WSL - especially file system performance. I have been following WSL for a while but now that WSL 2 is nearing … Visit website

Archives - Practical Business Python

Article Roadmap. The roadmap is a guide to finding and reading all the articles on the site. All articles are grouped and ordered in a more natural progression than the publish date. This is a good starting point for the first time reader or a returning reader trying to find some specific content. Visit website

About - Practical Business Python

This site was started in September 2014 with the goal of collecting and spreading ideas on how to use python more effectively in the business setting. Python is a wonderfully robust language that can be used for many applications and is embraced by many organizations, large and small. There are countless tutorials, frameworks and discussions ... Visit website

Comprehensive Guide to Grouping and Aggregating with Pandas

There are four methods for creating your own functions. To illustrate the differences, let’s calculate the 25th percentile of the data using four approaches: First, we can use a partial function: from functools import partial # Use partial q_25 = partial(pd.Series.quantile, q=0.25) q_25.__name__ = 25%. Visit website

Guide to Encoding Categorical Values in Python

Approach #2 - Label Encoding. Another approach to encoding categorical values is to use a technique called label encoding. Label encoding is simply converting each value in a column to a number. For example, the body_style column contains 5 different values. We could choose to encode it like this: convertible -> 0. Visit website

Overview of Pandas Data Types - Practical Business Python

The simplest way to convert a pandas column of data to a different type is to use astype () . For instance, to convert the Customer Number to an integer we can call it like this: df[Customer Number].astype(int) 0 10002 1 552278 2 23477 3 24900 4 651029 Name: Customer Number, dtype: int64. Visit website

Introduction to Market Basket Analysis in Python

A useful (but somewhat overlooked) technique is called association analysis which attempts to find common patterns of items in large data sets. One specific application is often called market basket analysis. The most commonly cited example of market basket analysis is the so-called “beer and diapers” case. Visit website

Practical business python

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Pbpython.com: Practical Business Python

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GitHub - chris1610/pbpython: Code, Notebooks and Examples …

Code. chris1610 Merge pull request #26 from marcopolo88/patch-1. e18f327 on Aug 14, 2021. 105 commits. Failed to load latest commit information. .github. code. data. extras. Visit website

Practical Business Python

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Pbpython.com Net Promoter Score 2022 Benchmarks

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PBPYTHON.COM Detailed Technology Profile on BuiltWith

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pbpython/advanced_excel.py at master - GitHub

Code, Notebooks and Examples from Practical Business Python - pbpython/advanced_excel.py at master · chris1610/pbpython Visit website

Pbpython.com SEO Report to Get More Traffic - Kontactr

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