Overview
Python is a universal programming language. As researchers tend to use highly specialized tools and therefore a “general purpose” language seems not suitable for scientific calculations and research. However, several Python’s libraries are highly optimized and adjusted to tasks related to scientific computing and research. That makes is it a powerful tool for scientists. If you want to learn how to use Scientific Python, this course is for you.
Requirements
Some familiarity with programming concepts in any language is assumed.
Certificate
Participants receive a certificate of completion of the authorized Softinery course.
Materials and tools
You will have access to all the course materials: course notes, exercise solutions and presentations. Moreover, you will learn the basics of most important tools used in modern Python applications in engineering and data science.
Money-back guarantee
Learn the skills covered in this program or get full refund. See Refund Policy.
Scientific Python Course Syllabus
- Introduction. Overview of numeric and scientific packages in Python
- Installation of packages
- NumPy
- Matrix operations with NumPy
- Linear algebra
- Vectorized operations
- Universal functions
- Boolean arrays
- SciPy
- Differential euqations
- Integration and differentiation
- Optimization
- Interpolation
- Curve fitting
- Algebraic equations
- Operations on large datasets. Introduction to Pandas
- Introduction
- Selection operations
- Storage: CSV and Parquet files
- Handling missing values and duplicates
- Data visualization using Matplotlib
- Basics: Line plot, Bar chart, Scatter plot
- Subplot
- Animation
- Graphical representation of results using Plotly
- Basics: Scatter plot, Line plot, Histogram
- Dash
What Our Customers Have To Say
Michael
“Softinery course is a perfect opportunity for students to upgrade their skills. I feel have strong foundation based on which I can progress with the projects that interest me.”
Guest
“The course is great for anyone trying to get started in pandas and numpy. Above all, It was challenging and relevant. Highly recommend this course..”
Ivan
“The right blend of teaching and practicing. Simon is a great teacher and very patient in helping you. I feel confident in my ability to continue my python learning independently.”
Upcoming dates of Scientific Python Course
Online live instructor-led training (Zoom)
October Tuesdays and Thursdays: 3, 5, 10, 12, 17, 19.
4PM – 7 PM Central European Time
Price: 300 €
Instructor
PhD Eng. Szymon Skoneczny is a former university professor specialized in mathematical modelling. He has also worked for international companies like Electricite de France, Siemens and ArcellorMittal.
Over 3000 hours of tutoring
Specialized in mathematical modelling
Over 40 scientific articles
Experienced in algorithms and high-performance computations