For years, we have perfected the craft of teaching. We use our own time-tested curriculum and custom workbooks we wrote. Practical Programming’s “learn, then practice” teaching method results in students learning and retaining much more than traditional “follow along” classes.
I always have fears to do coding. My friend recommended this "Python Immersive" one-week camp. The instructor, Thalo, is great at explaining the concepts. Especially, he is very patient and helpful. I strongly recommend this camp to those who want to learn Python coding from A to Z.
I really liked the teachers, they are very nice and patient with their students. It was difficult but you do get out what you put in, so do be prepare to work! Great price and and great experience. I would definitely recommend.
I didn't expect to learn much in a 4 session Python course, but Art's teaching style was very fitting for the subject. As the Chinese proverb states: Tell me, I’ll forget. Show me, I’ll remember. Involve me, I’ll understand.
Practical Programming designed a 9-session, in-house training course that benefitted our novice and more advanced Python programmers alike. The training materials were clear and well-prepared, and the applied exercises served to reinforce important concepts. Art was friendly, patient, and readily available to provide support both during and between each training session. I highly recommend Practical Programming if you are seeking accessible and comprehensive Python training for your team
Learn the Django framework to develop web applications. You’ll learn URL dispatchers, querying models, and automating tasks with Django. Then move on to Django REST (a Django framework) which covers how to work with images, authentication, and using API endpoints.
Kick your CSS skills up a notch by learning how to code more complex and visually interesting layouts. In this CSS training, you’ll learn about vector graphics (SVG), CSS variables, styling gradients, shadows, positioning, CSS animated transitions, transforms, responsive images, and much more.
Master the tools to become a data scientist: Python, SQL, automation, and machine learning. Learn Python programming fundamentals and analyze data with Pandas, NumPy, and Matplotlib, and query databases with SQL. Use machine learning to apply regressions and other statistical analysis to create predictive models.