Software Engineering by ALT-F1

Building software requires multiple competencies : understand the business, the regulations, the IT system, the operations, the testing process, the technical debt …

By reading this book, you should find sufficient information to manage the manufacturing of software in a systematic method.

Contact us : http://www.alt-f1.be

• OUR COMMITMENT : We strive for superior performance, unmatched work ethic, simple and pragmatic approach, jargon-free language and insightful ideas

• ALT-F1 supports your industry with software, data, analytics & lean optimisations

• ALT-F1 designs, implements, deploys and supports secure, large-scale software solutions for diverse industries:

  • Manufacturing

  • MRO Maintenance Repair and Overhaul

  • Warehouse

  • Broadcasting

  • Bank

  • Insurance

  • Defense

  • Automotive

  • Law Enforcement

  • Justice and Serious International Crime

Contents

• 1. Introduction
  • 1.1. Primary activities
  • 1.2. Support Activities
• 2. Inbound Logistics
  • 2.1. Speech analogy for Data Vis
    • 2.1.1. The Lie factor
    • 2.1.2. Separation of the visual elements and the structure of data
    • 2.1.3. Grammar of the Graphics pipeline
    • 2.1.4. Process
    • 2.1.5. Choosing the right chart
    • 2.1.6. Choose free tools to draw charts
    • 2.1.7. Reviziting the receipt
• 3. Operations (PM, CI-CD, Backup, Engineering)
  • 3.1. Project management
  • 3.2. Programme Management
  • 3.3. Software engineering
  • 3.4. Continous Integration-Continuous Delivery
    • 3.4.1. Continuous Integration
    • 3.4.2. Continuous Delivery
    • 3.4.3. Continuous Deployment
  • 3.5. Backup
    • 3.5.1. Which ressources do you need to backup?
    • 3.5.2. Which strategy do you need to apply?
    • 3.5.3. Wrap up
• 4. Outbound Logistics (Deployment CI/CD)
• 5. Marketing and Sales
  • 5.1. Sales automation
  • 5.2. Sales Dashboard
  • 5.3. Contracts management
• 6. Services
• 7. Procurement
• 8. Technology development (Tools Git, ngrok)
  • 8.1. The digitization
    • 8.1.1. Digitization for the Insurance industry
  • 8.2. GIT lifecycle
    • 8.2.1. A successful git branching model
    • 8.2.2. GIT : commit conventions
    • 8.2.3. GIT : how to manage the versions, branches … ?
    • 8.2.4. GIT LFS Large File System
  • 8.3. ngrok - Public URLs for exposing your local web server
  • 8.4. How to write a bug report?
  • 8.5. Research & Development topics
  • 8.6. Open Authentication (OAuth)
    • 8.6.1. Use case for Open Authentication
    • 8.6.2. Open authentication using Office365
  • 8.7. Web Scraping
    • 8.7.1. Documentation
    • 8.7.2. Scraping: Software architecture
    • 8.7.3. Scraping: best practices
    • 8.7.4. Extraordinary examples
    • 8.7.5. Data model of a scraper
    • 8.7.6. Scraping: Scrapy spiders or Crawlers
    • 8.7.7. Similarity features
  • 8.8. Authentic sources
    • 8.8.1. Geography - Countries
• 9. HR management (Curriculum)
  • 9.1. Some rules to help you run your company
  • 9.2. .NET Curriculum
    • 9.2.1. Documentation
    • 9.2.2. Testing
    • 9.2.3. Software engineering
    • 9.2.4. Software development .NET
    • 9.2.5. DATA MODELING .NET and Azure
    • 9.2.6. GENERATE OFFICE FILES
    • 9.2.7. DEPLOYMENT
    • 9.2.8. Artificial intelligence / Machine learning / Big data analysis
    • 9.2.9. Reproducible research
  • 9.3. Excel Curriculum
    • 9.3.1. Lookups
    • 9.3.2. Conditional Logic
    • 9.3.3. Data Tools
    • 9.3.4. PivotTables
    • 9.3.5. Collaboration
    • 9.3.6. Printing
    • 9.3.7. Macros
  • 9.4. Secure and Private Artificial Intelligence
    • 9.4.1. Deep learning with PyTorch
    • 9.4.2. Udacity course : Deep Learning with PyTorch
    • 9.4.3. Tools for Artificial Intelligence
• 10. Firm infrastructure (copyrights, CISSP, GDPR)
  • 10.1. Copyrights
  • 10.2. CISSP
    • 10.2.1. Business Continuity Plan
    • 10.2.2. Disaster Recovery Plan
  • 10.3. GDPR - Règlement général sur la protection des données
    • 10.3.1. PROCESS
    • 10.3.2. DATA MODEL
  • 10.4. Legal Regulations Compliance
• 11. Misc.
  • 11.1. Technologies
    • 11.1.1. www.stoic.com
    • 11.1.2. how to stoic.com generate an application from a spreadsheet?
    • 11.1.3. stoic.com business model
    • 11.1.4. stoic.com competitive advantage
    • 11.1.5. stoic.com uses those Javascript technologies
• 12. Glossary
• 13. Secure and Private AI : e-learning
  • 13.1. Courses
  • 13.2. release as a target type
    • 13.2.1. git add push
  • 13.3. Run Jupyter notebooks
• 14. Secure and Private AI : Part 1 - Tensors in PyTorch-Exercises
  • 14.1. Exercise:
  • 14.2. Exercise:
  • 14.3. Exercise:
• 15. Secure and Private AI : Part 2 - Neural Networks in PyTorch (Exercises)
  • 15.1. Exercise:
  • 15.2. Exercise:
  • 15.3. Building networks with PyTorch
  • 15.4. Exercise:
  • 15.5. Forward pass
    • 15.5.1. Using nn.Sequential
• 16. Secure and Private AI : Part 3 - Training Neural Networks (Solutions)
  • 16.1. Exercise:
  • 16.2. Autograd
  • 16.3. Loss and Autograd together
  • 16.4. Training the network
  • 16.5. Training for real
    • 16.5.1. Exercise:
• 17. Secure and Private AI : Part 4 - Classifying Fashion-MNIST (Solution)
  • 17.1. Train the network
  • 17.2. Try to predict the clothes without training
  • 17.3. Now, train the model and increase the quality of the predictions!

Indices and tables

• Index

• Search Page