Python Top 45 Articles for the Past Year (v.2018)
For Jan-Dec 2017, we compared nearly 18,000 articles about Python Programming and picked the Top 45 (0.25%).
This is an extremely competitive list. Mybridge AI ranks articles based on the quality of content measured by our machine and a variety of human factors including the number of shares and minutes read.
This directory is designed to make your life easier as it organizes the most useful articles by 20 key topics, where experienced programmers share their lessons working with Python.
If you’re a beginner who are getting started, we recommend these courses,
A) REST APIs: Build professional REST APIs with Python, Flask, Flask-RESTful, and Flask-SQLAlchemy. [12,602 recommends, 4.6/5 stars]
B) Algorithmic Trading: Python for Financial Analysis and Algorithmic Trading: Learn numpy , pandas , matplotlib , quantopian , finance. [18,077 recommends, 4.6/5 stars]
If you’re looking for..
- Open Source Python Projects of the Year (avg. 4,078 ⭐️): Click here
- Machine Learning Top Articles of the Year: Click here
(The numbers are NOT ordered by ranking in this post)
For text version with Table of Contents: Go to Github
<Algorithm>
No 1) Algorithm
Interactive Python coding interview challenges (algorithms and data structures) Courtesy of Donne Martin [11,811 stars on Github]
No 2) Algorithm
Algorithms: Minimal examples of data structures and algorithms in Python
[10,271 stars on Github]
No 3) Algorithm
Pygorithm: A fun way to learn all major Python algorithms
Courtesy of Satwik Kansal [3,156 stars on Github]
<Guide>
No 4) Guide
wtfPython: A collection of interesting, subtle, and tricky Python snippets
[4,933 stars on Github]
<Web Scraping>
No 8) Web Scraping
Web Scraping With Python: Scrapy, SQL, Matplotlib To Gain Web Data Insights
Courtesy of ScrapingAuthority
No 9) Web Scraping
Advanced Web Scraping: Bypassing “403 Forbidden,” captchas, and more
Courtesy of Evan Sangaline
No 10) Web Scraping
Mastering Python Web Scraping: Get Your Data Back
Courtesy of Lauren Glass and Hackernoon
<Spreadsheet>
No 15) Spreadsheet
Python Excel Tutorial: The Definitive Guide .
Courtesy of Karlijn Willems
.
No 16) Spreadsheet
Courtesy of Brent Schooley, Developer Evangelist at Twilo
.
<Finance>
No 17) Finance
Python For Finance: Algorithmic Trading
Courtesy of Karlijn Willems at Datacamp
No 18) Finance
Intro and Getting Stock Price Data — Python Programming for Finance p.1
Courtesy of Harrison Kinsley
No 19) Finance
Analyzing Cryptocurrency Markets Using Python
Courtesy of Patrick Triest
.
<Blockchain>
No 20) Blockchain
Learn Blockchains by Building One
Courtesy of Daniel van Flymen and Hackernoon
No 21) Blockchain
Let’s Build the Tiniest Blockchain
Courtesy of Gerald Nash ⚡️
.
<Video Synthesizer>
No 22) Video Synthesize
Building a Video Synthesizer in Python
Courtesy of Kirk Kaiser
.
<NumPy>
No 30) NumPy
.
.
No 31) NumPy
Exploring Line Lengths in Python Packages
Courtesy of Jake VanderPlas
.
<Markov Process>
No 33) Markov Process
Simulating Chutes & Ladders in Python
Courtesy of Jake VanderPlas
.
<Data Analysis>
No 34) Data Analysis
Exploring United States Policing Data Using Python
Courtesy of Patrick Triest
.
No 35) Data Analysis
Analyzing 1000+ Greek Wines With Python
Courtesy of Florents Tselai
.
No 36) Data Analysis
How to Generate FiveThirtyEight Graphs in Python
Courtesy of Josh Devlin
No 37) Data Analysis
Playing with 80 Million Amazon Product Review Ratings Using Apache Spark with Python
Courtesy of Max Woolf, Data Scientist at BuzzFeed
No 38) Data Analysis
Fast GeoSpatial Analysis in Python
Courtesy of Matthew Rocklin
.
No 39) Data Analysis
Planet: Understanding the Amazon from Space, 1st Place Winner’s Interview — Kaggle
Courtesy of Edwin Chen
<Get Started>
No 40) Get Started
Learning Python: From Zero to Hero
Courtesy of TK
.
No 41) Get Started
A List of Non Trivial Python Exercises
Courtesy of Ynon Perek
.
No 42) Get Started
API Design: Think First, Code Later
Courtesy of Jonatas Baldin
.
No 43) Get Started
The Hitchhiker’s Guide to Machine Learning in Python
Courtesy of Conor Dewey
.
No 44) Get Started
How to learn Python programming: 6 experienced Python developers share their learning tips
.
No 45) Get Started
How Did Python Become A Data Science Powerhouse?
Courtesy of Jake VanderPlas
For text version with Table of Contents: Go to Github
That’s it for Python Articles of the Year. Visit our publication to find top posts for more programming skills.
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