You should do your touch typing lessons as often as you are capable of without hurting your fingers! As with everything else, regular training gives the best result. Most people will probably get the best result by distributing the lessons to several days in the week rather the doing a lot of exercises in one day. It is a good idea to put your touch type training into a calendar to be sure to remember to do them. If you don't have a calendar you can use the Google calendar which is free and easy to use. In this way it is easier to remember to do your exercises.
The programming community is full of people who are willing to help the next generation of programmers. GitHub, the online hangout for developers who use Git to manage their coding projects, is designed for online collaboration. Not only do developers host and share their projects with their peers, they also provide code feedback and general advice to the community.
As a self-taught programmer, you might also benefit from books that offer broader advice on the profession. You’ll improve your thinking and habits, traits you can apply to any language you decide to learn. Steve McConnell’s 900-page Code Complete: A Practical Handbook of Software Construction (2nd Edition) is considered the definitive guide for best practices, with data-backed advice on everything from project design to debugging code.
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Udemy bills itself as an online learning marketplace, hosting 130,000+ user-created courses on all kinds of topics (including over 2,000 coding-related classes). While some of Udemy’s offerings are paid (costing $20-$200 per course), there are plenty of free coding classes as well, including some shorter Tech 101-type courses that teach code for beginners.
EdX is another leading online-learning platform that is open source instead of for-profit. It was founded by Harvard University and MIT in 2012, so you know that you’ll learn about cutting-edge technologies and theories. Today, edX includes 53 schools. You probably can’t go wrong with the free Introduction to Computer Science from Harvard University.