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Become a Lord of the Cells and Speed up Your Jupyter Notebook Workflow

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Speed up your jupyter ntebook workflow

Everyone loves a good Jupyter Notebook. Jupyter Notebooks are an insanely convenient environment to rapidly prototype Python scripts and delve into Data Science. They speed up the time from writing code to actually executing it and you can visually see the output for each section you write. I …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Lambda Expressions

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Pythonic video course - lambda expressions

This is the last post in a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic recommendations and over 45 minutes of video examples. Python treats functions as first class citizens. This provides a tonne of …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Processing Large Data Sets With Yield and Generators

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Pythonic video series yield and generators

This is the 4th in a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic recommendations and over 45 minutes of video examples. Any time you are writing a method that returns a sequence (especially if that …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Merging Dictionaries

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Pythonic video course - merging dictionaries

This is the 3rd in a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic recommendations and over 45 minutes of video examples. DICTIONARIES ARE IMPORTANT Dictionaries play an absolutely central role in Python. …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Hacking Python’s Memory With __slots__

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Pythonic video course - hacking pythons memory with slots

This is the second post in a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic recommendations and over 45 minutes of video examples. What if I told you there was a simple technique you can apply to your …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Stop Using Lists for Everything

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Pythonic code video series stop using lists for everything

Taking Your Python Skills to the Next Level With Pythonic Code - Stop Using Lists for Everything This is the 1st in a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic recommendations and over 45 minutes of …

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[Video Series] Taking Your Python Skills to the Next Level With Pythonic Code – Introduction

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Pythonic code video series introduction

Taking Your Python Skills to the Next Level With Pythonic Code  - Introduction This is the introduction to a series covering Pythonic code written by Michael Kennedy of Talk Python To Me. Be sure to catch the whole series with 5 powerful Pythonic concepts and over 45 minutes of video …

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Write Pythonic Code Like a Seasoned Developer; The Course Everyone New to Python Desperately Needs to Take

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Pythonic course review

Do you want to cut the time it takes for you to become proficient in Python in half? That was a rhetorical question, of course you do. However becoming skillful in python and being able to writing pythonic code to the point where it is art takes experience, and a lot of it. Nevertheless, there …

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Creating Attractive and Informative Map Visualisations in Python with Basemap

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Map visualisation with python and basemap

When doing a bit of good old data exploration and analysis you'll often want ways of visually representing this data. It helps you understand what you're working with, and allows you to present your exciting new discoveries to other people in easy-to-digest formats that even the data illiterate can …

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An Introduction to Scientific Python – Pandas

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Scientific python pandas

Pandas has got to be one of my most favourite libraries... Ever. Pandas allows us to deal with data in a way that us humans can understand it; with labelled columns and indexes. It allows us to effortlessly import data from files such as csvs, allows us to quickly apply complex transformations and …

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  • How to Find Unclosed Tags and Brackets Using a Stack
  • A Quick Guide to Slicing in Python - Become a Python Ninja
  • Creating Attractive and Informative Map Visualisations in Python with Basemap
  • Mocking in Python - How to Bypass Expensive and External Code Within Your Tests
  • How to Build a GUI in Python 3.5

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