Set goals, manage your time, learn quickly, and apply immediately.
This is really useful and a must-read and can be applied to beginners and more advanced programmers too. I think the lessons can also be applied to any technology and any language - the main tenets are common to all.
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The key element for success in practical AI implementation is uncovering any issues early on and knowing what aspects of the workflow to focus time and resources on for the best results—and it’s not always the most obvious steps.
I found this really interesting and gives food for thought as well as a great short roadmap for success.
Use Python Dictionaries Like a Pro.
This is crucial for understanding the data structures and can often help you to understand how to relate data items together.
The python modules that every python developer should be familiar with.
I really like NLTK and find it incredibly useful.
The CDMP is the best data strategy certification you’ve never heard of. (And honestly, when you consider the fact that you’re probably working a job that didn’t exist ten years ago, it’s not surprising that this certification isn’t widespread just yet.)
Certainly, a certification to investigate - you might surprise yourself at how close you are to gaining this qualification and yet have not known about it.
How we overestimate the role of Data Science projects in the job process — and the 4 interviewing skills that actually matter.
An interesting perspective here. I have to admit to being just like Haebichan and thinking that projects are enough to show that you can do lots of cool sexy things. I'm going to suggest you need to look at these projects from the customer point of view - what problem are you solving and what are the likely benefits from the result of that project.
This is a great tool that needs to be used. Just change all of the settings via the cog at the top right hand.
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A unique python library that extends the Python programming language and provides utilities that enhance productivity.
I think this could be really useful and so well worth reading and learning.
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This is a rundown of amazing Java project ideas that will set off your career in programming.
Some great ideas. I think one of the most useful points is that as you learn a language you need to do projects all of the time to improve your knowledge of it.
Data science is everywhere. But what are the best ways to learn the field well enough to enter the profession? Read on for some tips and steps on doing so, and some great courses to help you get there.
Follow the link in the article to find could online courses that the authors recommend. Definitely, a must-read for anyone thinking of going into Data Science.
Automate Boring Stuff with Python and Bash For Loop.
This article contains example code and might be a good reminder of the various ways that you can automate in Python.
A quick rundown of some great analytical packages you should be using in Python.
Some great package suggestions here that I think you can use as part of learning Python in order to make sure you learn the right ones first.
