Overview of new features in Visual Studio 2019 for Python Development. Features include: - new Python project types from Cookiecutter and Iron Python templates - machine learning and AI templates for Python - dedicated Python toolbar for access to environments and interactive window - environment isolation with virtual and Conda environments - handy package management for update and installation - environment configuration in requirements.txt(Virtual env) or environment.yml(Conda env) - Python debugging - Interactive REPL window for immediate read-eval-print-loop - profiling Python code performance

1. Visual Studio 2019 launch

2. • Software Architect @
o 17+ years professional experience
• Microsoft MVP (Azure)
• External Expert: Horizon 2020
• External Expert: Eurostars-Eureka
• External Expert: InnoFund Denmark
• Professional Interests
o Web, SOA, Integration
o IoT, Machine Learning
o Performance
• Contact
ivelin.andreev@icb.bg
www.linkedin.com/in/ivelin
www.slideshare.net/ivoandreev

3. “Difference between ML and AI?
- If it is written in Python, probably it is ML.
- If it is written in PowerPoint, probably it is AI.”
* * *
“When you’re fundraising, it’s AI. When you’re hiring, it’s ML.
When you’re implementing, it’s linear regression.“
* * *
“Data science is 80% waiting for your model to train and 20%
swearing because it didn't work”
* * *
“How many data scientists it takes to change a light bulb?
20 seniors and one intern.
Data scientists will argue over a month on the right approach while
the intern will copy the solution from StackOverflow.”
Why Python?

4.  Environments, Debugging, Profiling, Intellisense, Live Share
VS Code
executables

5. Visual Studio 2019 launch

6. • Open VS Installer
C:Program Files (x86)Microsoft Visual StudioInstallervs_installer.exe
• From Workloads
• From Installation Details
Installation Steps

7. Visual Studio 2019 launch

8. • Project filters by multiple tags
• Python Application
• From existing Python code
• Template
• Classification Project
• Regression Project
• Clustering Project
• Template
• IronPython Application
• IronPython Windows Forms App.
• IronPython WPF
New Python Project

9. Visual Studio 2019 launch

10. What is an environment?
• Context to run Python code
• Python Interpreter
• Standard Python library
• Standard & installed packages
• Automatic detection of Python interpreters
• Manual identification (fallback)

11. VS2019 Environment Types
• Global
• Available to all projects on computer
• Changes are valid for all projects on that environment
• Prone to version conflicts (different package versions from different projects)
• Easily gets cluttered, no application isolation
• Virtual
• Environment subfolder with copy of interpreter
• Any modifications are valid only in environment
• Environment config. in requirements.txt
• Conda (Miniconda or Anaconda)
• Created with Conda package manager
• Require Anaconda/Miniconda
• Environment config. in a environment.yml

12. Create Virtual Environment
• Describe dependencies requirements.txt
• Manage packages (View, Upgrade, Remove)
• Removing virtual environment from project
• Removes environment completely

13. Visual Studio 2019 launch

14. Interactive Window
• For runtime experimentation of editor code
• Individual for Python environment
• Improved REPL (Read Eval Print Loop) Shell
• Meta commands
• $help, $clear, $cls, $load, $reset, $attach (debug)
• Scope
• Project startup file (default)
• Import [module name] changes scope
• dir() – display valid identifiers in scope

15. Visual Studio 2019 launch

16. Profiling Python Performance
• Start profiling Analyze > Launch Python profiling
• Select profiling target (2 options)
• Project
• Standalone script
• Run script and collect data
• Interactive profiling report

17. DEMO
• Python Project
• Python Toolbar
• Add Environment
• Manage Packages
• Intellisense
• Debugging
• Live Share Session
• Interactive Window

18. aka.ms/pythonvs
aka.ms/pythonblog