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The Top Five Data Science Tips From r/DataScience

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Data science tips from reddit

If you are learning data science from a book or a course, you most likely have a fairly narrow view of the field. You only get the views and experiences of the person or small group of people that produced the resource. Books and courses are fantastic, but don't forget to broaden your horizons. …

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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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An Introduction to Scientific Python – NumPy

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Scientific python: numpy

Oh the amazing things you can do with Numpy. NumPy is a blazing fast maths library for Python with a heavy emphasis on arrays. It allows you to do vector and matrix maths within Python and as a lot of the underlying functions are actually written in C, you get speeds that you would never reach in …

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A Quick Guide to Slicing in Python – Become a Python Ninja

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Python slicing tutorial

Slicing is an incredibly useful and powerful feature of python. It gives you to ability to manipulate sequences with simple and concise syntax. Slicing has more uses than I can think of or list here, but some of many useful applications include string manipulation and various mathematical uses; when …

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An Introduction to Scientific Python – Matplotlib

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Scientific python - matplotlib

One of the most popular uses for Python, especially in recent years is data processing, analysis and visualisation. This then leads topics such as the analysis of 'big data' which has many applications in pretty much every type of business you can imagine, and a personal interest of mine; Machine …

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How to Build a GUI in Python 3.5

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guis

Looking around the community, at other people products and such I get the feeling that Python is being used more for services and scientific applications rather than desktop applications. That being said, python desktop applications are by no means dead and lots of people want to create them (me …

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Mocking in Python – How to Bypass Expensive and External Code Within Your Tests

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python mocking

Do you want to be able to utilise the powerful tool that is mocking within your Python tests? Mocking is a useful tool and was vital to unit tests that I needed to write for a project I am working on. I'd never used mocking before, so I didn't know where to start but after reading pages of …

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How to Use Google’s Python Client Library to Authorise Your Desktop Application With OAuth 2.0

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locks

In a previous post I mentioned how I'm going to stop using Blogger's built in post editor due to the horrendous HTML is produces. Well, I had no luck finding a desktop blogging client that worked well. The existing blogging clients either don't work on linux or development was stopped some ten years …

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  • How to Find Unclosed Tags and Brackets Using a Stack
  • How to Build a GUI in Python 3.5
  • Mocking in Python - How to Bypass Expensive and External Code Within Your Tests
  • How to Logically Group Your Python Code into Modules
  • A Quick Guide to Slicing in Python - Become a Python Ninja

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