PyScience Lab
Master SciPy & NumPy
7,99 €
Learn NumPy, SciPy & Matplotlib through hands-on practice. Ad-free!
PyScience Lab: Mastering Scientific Computing with Python
A comprehensive educational platform designed to help you master scientific computing through structured learning paths focused on Python's powerful scientific libraries including NumPy, SciPy, and Matplotlib.
Programme Overview
PyScience Lab provides a structured curriculum with 14 detailed learning units covering everything from fundamental concepts to advanced applications in scientific computing. Each unit combines theoretical knowledge with practical implementation, allowing you to gain practical proficiency progressively.
Learning Units
1. Introduction to Scientific Computing with NumPy, SciPy, and Matplotlib
2. Setting Up Your Python Environment for Scientific Research
3. Fundamentals of NumPy for Numerical Computation
4. Advanced Array Operations and Broadcasting in NumPy
5. Overview of SciPy: Enhancing Your Computational Toolkit
6. Linear Algebra and Matrix Computations
7. Numerical Integration and Optimisation
8. Solving Differential Equations
9. Data Visualisation with Matplotlib
10. Customising Plots: Styles and Annotations
11. 3D Plotting and Animations with Matplotlib
12. Applying Scientific Computing to Physics Problems
13. Engineering Applications: Modelling and Simulation
14. Advanced Algorithms in Applied Mathematics
Features
• SciPy Coding Challenge Module: Units: 200 units covering core topics from basics to essentials
• Coding Exercises: 70 coding exercises per unit to solidify your understanding
• SciPy Cheatsheet: A compact reference guide for quick look-ups
• SciPy Flashcards: 1200 targeted flashcards to reinforce key concepts
• NumPy Cheatsheet: A compact reference guide for quick look-ups
• NumPy Flashcards: 1200 targeted flashcards to reinforce key concepts
• Global Accessibility: 15 interface languages supported
• Custom Themes: 12 themes to personalise your learning environment
• Daily Challenges: Regular Python coding challenges to reinforce learning
• Progress Tracking: Visual portfolio showing skill development over time
• Offline Access: Complete availability of all examples without internet connection
• Ad-Free Experience: No advertisements or subscription requirements
Perfect For
• Research scientists and engineers
• Scientific programmers
• Data scientists and analysts
• STEM students
• Technical professionals
What You'll Learn
Master scientific computing concepts through hands-on practice, implementing efficient numerical algorithms, applying optimisation techniques, processing scientific data, and building computationally efficient solutions for complex problems.
Transform your scientific computing capabilities with PyScience Lab! Practice makes perfect!
Ratings & Reviews
This app has not received enough ratings or reviews to display an overview.
* Added SciPy and NumPy cheatsheets and flashcards to enhance learning resources.
* Added SciPy and NumPy Flashcards with 1200 targeted flashcards each to reinforce key concepts.
* Updated SciPy Coding Challenge Module to include 200 programming units covering core topics from basics to essentials.
The developer, SimTeCon GmbH, indicated that the app’s privacy practices may include handling of data as described below. For more information, see the developer’s privacy policy .
Data Not Collected
The developer does not collect any data from this app.
Accessibility
The developer has not yet indicated which accessibility features this app supports. Learn More
Information
- Size
- 68.6 MB
- Category
- Education
- Compatibility
Requires iOS 15.1 or later.
- iPhone
Requires iOS 15.1 or later. - iPad
Requires iPadOS 15.1 or later. - iPod touch
Requires iOS 15.1 or later.
- Languages
- English
- Age Rating
4+
- 4+
- Provider
SimTeCon GmbH
- SimTeCon GmbH has not identified itself as a trader for this app. If you are a consumer in the European Economic Area, consumer rights do not apply to agreements between you and the provider.
- Copyright
- © 2024 SimTeCon GmbH
