Why would a Delphi developer want to add Python to their toolbelt? It is all about library access and scriptability. The open-source Python4Delphi (P4D) library by Kiriakos Vlahos, author of the popular PyScripter Python IDE, allows you as a Delphi developer to leverage the entire collection of Python libraries directly from Delphi. It also makes it easy to easily execute Python scripts, create new Python modules, and new Python types directly from your Delphi application. Give your Delphi applications the best of both worlds! 

Join Python4Delphi author Kiriakos Vlahos, and Embarcadero Developer Advocate Jim McKeeth for this webinar to learn how to leverage Python in your Delphi applications on September 30th, 2020 at 9 AM CDT.

Near	Local Time	Local Date	Time Zone	UTC Offset
Los Angeles (USA – California)	7:00 AM	Wed 30-Sep	PDT	UTC-7 hrs
Boise (USA – Idaho)	8:00 AM	Wed 30-Sep	MDT	UTC-6 hrs
Austin (USA – Texas)	9:00 AM	Wed 30-Sep	CDT	UTC-5 hrs
New York (USA – New York)	10:00 AM	Wed 30-Sep	EDT	UTC-4 hrs
São Paulo (Brazil – São Paulo)	11:00 AM	Wed 30-Sep	BRT	UTC-3 hrs
Brussels (Belgium – Brussels)	4:00 PM	Wed 30-Sep	CEST	UTC+2 hrs
Athens (Greece)	5:00 PM	Wed 30-Sep	EEST	UTC+3 hrs
Moscow (Russia – Moscow)	5:00 PM	Wed 30-Sep	MSK	UTC+3 hrs
Mumbai (India – Maharashtra)	7:30 PM	Wed 30-Sep	IST	UTC+5:30 hrs
Tokyo (Japan)	11:00 PM	Wed 30-Sep	JST	UTC+9 hrs
Sydney (Australia – New South Wales)	12:00 AM	Thu 1-Oct	AEST	UTC+10 hrs
Auckland (New Zealand – Auckland)	3:00 AM	Thu 1-Oct	NZDT	UTC+13 hrs
Corresponding UTC (GMT)	2:00 PM	Wed 30-Sep	GMT	0

What sort of Python libraries can you access from Delphi with Python4Delphi?

• TensorFlow – Machine Learning
  • TensorFlow, developed by Google in collaboration with Brain Team, is used in almost every Google application for machine learning.
  • Neural networks can be easily expressed as computational graphs using TensorFlow as a series of operations on Tensors. 
• Numpy – Data Cleaning and Manipulation
  • TensorFlow and other libraries use Numpy internally for performing multiple operations on Tensors. The array interface is the best and the most important feature of Numpy.
• Pandas – Data manipulation and analysis 
  • In particular, it offers data structures and operations for manipulating numerical tables and time series.
  • The name is derived from the term “panel data”, an econometrics term for data sets that include observations over multiple time periods for the same individuals.
• Scikit-Learn – Machine learning and modeling
  • It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means, and DBSCAN.
• Natural Language Toolkit (NLTK) – Text Processing
  • A suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English
  • Intended to support research and teaching in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning
• SciPy – Data Science
  • Used in science, mathematics, and engineering
  • Contains modules for optimization, linear algebra, integration, interpolation, special functions, FFT, signal and image processing, ODE solvers, and other tasks common in science and engineering.
• Matplotlib & Seaborn for plotting, and statistical data visualization 
• Pillow & MoviePy for image and video processing