From the course: Practical Python for Algorithmic Trading

Maximize your learning - Python Tutorial

From the course: Practical Python for Algorithmic Trading

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Maximize your learning

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- [Instructor] Thank you for choosing this learning journey with us. To maximize your learning experience and truly immerse yourself in this rich world of Python and finance here are some key steps you can take. Firstly, to access the materials needed for this course you open this link. You get into the GitHub repo to access the materials and over the green button, create a new code space which is the preferred platform and is optimized for your learning experience. It may take a while, so be patient and wait for the code space to be ready. Once you're here hover over the notebooks course folder where you will find around 10 notebooks with the 10 practical exercises that we will cover during this course. You may have wondered why these notebooks are titled A, B, C and D. Each letter signifies the type of notebook, A refers to the blank notebook that I use while showing you the tutorial on the video. The B notebook is the completed version of the A notebook and whenever you find a C notebook, is an empty notebook that we have left for you to work on a challenge. If you ever find yourself stuck on the problem you can go to the D. Where is the problem with a code solved. If you get a stuck while working on the challenge you may take a look on the D notebook where we have the challenge completed. I encourage you to delve into each notebook unpack the ideas, run the code and don't be afraid to get your hands dirty. The best way to learn is by doing. To maximize your learning. We first recommend to watch the tutorials. This will guide you and offer insights into the application of the concepts. Run the code on your own but remember to not get stuck on the results. The aim here is to learn, explore, and understand. Besides the Python code runs random processes which may end up in different results. Treat the challenges as an exam and do your best and force yourself to not look at the tutorials all the time to not look up the solutions as much as possible. Feel free to innovate. Try out different stocks, experiment with new machine learning models and let your imagination run wild. Never hesitate to ask any question, no matter how small. The only foolish question is the one that isn't asked. We are here to assist you on this journey. Remember, the purpose of this course is not just to teach but to inspire and ignite a passion for Python and finance within you. So buckle up and get ready for an exciting journey ahead.

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