Merge branch 'main' of https://github.com/Embarcadero/P4D-Data-Sciences

.github/dependabot.yml

@@ -0,0 +1,11 @@
+# To get started with Dependabot version updates, you'll need to specify which
+# package ecosystems to update and where the package manifests are located.
+# Please see the documentation for all configuration options:
+# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
+
+version: 2
+updates:
+  - package-ecosystem: "pip" # See documentation for possible values
+    directory: "/" # Location of package manifests
+    schedule:
+      interval: "daily"

.gitignore

@@ -60,6 +60,7 @@
 # Delphi history and backups
 __history/
 __recovery/
+Debug/
 *.~*
 
 # Castalia statistics file (since XE7 Castalia is distributed with Delphi)

README.md

@@ -1,2 +1,24 @@
 # P4D-Data-Sciences
 A collection of lightweight Python wrappers based on Python4Delphi simplifying Data Sciences development with Delphi
+
+This is an _early access preview_, but you are encouraged to try it out, file bug reports, and add features. [Read more](https://blogs.embarcadero.com/?p=145025) and catch the live stream.
+
+Currently includes:
+* **Tensorflow** - Library for machine learning and artificial intelligence. 
+* **NumPy** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NumPy)] Numerical library for working with large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these them. 
+* **PyTorch & PyTorch Vision** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch)] For computer vision and natural language processing applications.
+* **MatPlotLib** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/MatplotLib)] Library for creating static, animated, and interactive visualizations.
+* **Natural Language Toolkit (NLTK)** - [Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/NLTK) Suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English.
+* **OpenCV** - Library of programming functions mainly aimed at real-time computer vision
+* **Scikit-learn** - [[Demos](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/ScikitLearn)] Machine learning library that features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN.
+
+Most packages have basic samples, but PyTorch has a very involed [Transfer Learning demonstration](https://github.com/Embarcadero/P4D-Data-Sciences/tree/main/demos/PyTorch/PyTorchTransferLearning).
+
+## Dependencies:
+
+Please make sure the following are installed **_before_** installing this library
+
+* [Python4Delphi](https://github.com/Embarcadero/python4delphi)
+* [Lightweight-Python-Wrappers](https://github.com/Embarcadero/Lightweight-Python-Wrappers)
+* [PythonEnviroments](https://github.com/Embarcadero/PythonEnviroments)
+

demos/NLTK/NLTKBasics/nltk1_main.fmx

@@ -138,6 +138,7 @@ object Form16: TForm16
     AutoLoad = False
     PythonVersion = '3.10'
     PythonEngine = PythonEngine1
+    Async = False
     OnZipProgress = PyEmbeddedResEnvironment3101ZipProgress
     Left = 192
     Top = 296
@@ -147,23 +148,6 @@ object Form16: TForm16
     Left = 368
     Top = 128
   end
-  object PythonGUIInputOutput1: TPythonGUIInputOutput
-    UnicodeIO = True
-    RawOutput = False
-    Left = 368
-    Top = 208
-  end
-  object PythonType1: TPythonType
-    Engine = PythonEngine1
-    Prefix = 'Create'
-    Services.Basic = [bsRepr, bsStr, bsGetAttrO, bsSetAttrO]
-    Services.InplaceNumber = []
-    Services.Number = []
-    Services.Sequence = []
-    Services.Mapping = []
-    Left = 368
-    Top = 296
-  end
   object NumPy1: TNumPy
     AutoImport = False
     PythonEngine = PythonEngine1

demos/NLTK/NLTKBasics/nltk1_main.pas

@@ -5,11 +5,10 @@ interface
 uses
   System.SysUtils, System.Types, System.UITypes, System.Classes, System.Variants,
   System.Zip, System.Threading, FMX.Types, FMX.Controls, FMX.Forms, FMX.Graphics,
-  FMX.Dialogs, FMX.Memo.Types, NumPy, PythonEngine, FMX.PythonGUIInputOutput,
-  PyEnvironment.AddOn, PyEnvironment.AddOn.EnsurePip, PyEnvironment,
+  FMX.Dialogs, FMX.Memo.Types, NumPy, PythonEngine, PyEnvironment,
   PyEnvironment.Embeddable, PyEnvironment.Embeddable.Res,
-  PyEnvironment.Embeddable.Res.Python310, PyCommon, PyModule, PyPackage, NLTK,
-  FMX.Layouts, FMX.ListBox, FMX.ScrollBox, FMX.Memo, FMX.StdCtrls,
+  PyEnvironment.Embeddable.Res.Python310, PyCommon, PyModule, PyPackage,
+  NLTK, FMX.Layouts, FMX.ListBox, FMX.ScrollBox, FMX.Memo, FMX.StdCtrls,
   FMX.Controls.Presentation;
 
 type
@@ -18,17 +17,15 @@   TForm16 = class(TForm)
     PyEmbeddedResEnvironment3101: TPyEmbeddedResEnvironment310;
     PythonEngine1: TPythonEngine;
     Button1: TButton;
-    PythonGUIInputOutput1: TPythonGUIInputOutput;
     StatusBar1: TStatusBar;
     lbMsg: TLabel;
     lbDesc: TLabel;
     Memo1: TMemo;
     ListBox1: TListBox;
-    PythonType1: TPythonType;
     ListBox2: TListBox;
     ListBox3: TListBox;
-    NumPy1: TNumPy;
     AniIndicator1: TAniIndicator;
+    NumPy1: TNumPy;
     procedure Button1Click(Sender: TObject);
     procedure PyEmbeddedResEnvironment3101AfterActivate(Sender: TObject;
       const APythonVersion: string; const AActivated: Boolean);