I know how frustrating it is when your professor wants you to switch to Python and you need to learn it in a very few days for your project or research. Professors always want it now!
I know how challenging it is to work on a project at your job and discover that you need to use Python or any of its packages (NumPy, Pandas, etc.) to accomplish your tasks. All Bosses want solutions not problems!
How do I know!?
I had to learn many computer skills by myself just in days (sometimes in hours) when I was an undergraduate and graduate student, and when I worked for different firms as an engineer. In other words, I was in your shoes!
Ironically, since I became a faculty member at the university, I've demanded that many of my students switch to other coding languages for their course projects and research. How lucky they are :)
That's why, relying on my 20+ years of teaching experience, I designed and recorded this course specifically to help you learn and be able to code in Python in a matter of days to accomplish your tasks and/or to expand your skills to more specialized tools based on Python.
So, what is this course?
→ It's an intensive course through 4K video lessons in addition to PDF handouts, codes, and projects to take you from zero to hero in an amazingly short time thanks to its progressive, self-paced curriculum.
→ It's a beginners' course; no previous knowledge of computer programming is required. All that you need is an average computer (desktop or laptop) with a Python interpreter and editor.
→ It's an interactive course; every lesson has a discussion area where you can ask questions, share codes, and get answers and comments directly from your instructor.
→ It's a dynamic course; new lessons, updates, and course materials are added to the curriculum upon your questions and requests.
→ It's a lifetime course; your membership never expires, so with a one-time payment you will access its content any time later for reference or updates.
→ It's a preparatory course; after completing this course, you will be confidently ready to move to advanced topics and applications:
- NumPy (Array and matrix computations, linear algebra)
- SciPy (Advanced numerical analysis)
- Matplotlib (2- and 3-D plots and graphics)
- Jupyter Notebook (Online interactive document sharing)
- Pandas (Data analysis and manipulation)
- Scikit-learn (Machine learning)
- Scikit-image (Image processing)
... and many more.
By the end of this course, you will code in Python fluently and efficiently to develop your academic and professional programs and continue your journey confidently to success and excellence.