Corrected __init__ and changed version

.gitignore

@@ -1,4 +1,6 @@
 env/
 *__pycache__/
 .vscode/
+*.bat
+Makefile
 ```

mlforall/__init__.py

@@ -1 +1,25 @@
 #__init__.py
+from mlforall import DataReading, DataScaling, DataModeling
+
+__all__ = [
+    'DataReading',
+    'DataScaling',
+    'DataModeling'
+]
+
+__version__ = '0.3.1'
+
+__doc__ = '''
+
+## Description
+**mlforall** is an open-source library aimed to developers that are beginners in the data analysis area but want to build powerful machine learning projects from the very beginning. The package offers a reliable, easy to use and well documented set of functions that drive the user through the most common steps of any machine learning projects, from data reading to model testing.
+
+## Main features
+These are some of the functionalities that mlforall offers:
+1. File extension asbtraction when reading data (only supported for `.csv`, `.txt`, `.xlsx`, `.xlsx`, `.parquet` and `.npy`)
+2. Automatic handling of non-numeric features and missing values.
+3. A pool with almost all the data-scaling methods available and the most common ML models.
+4. Automatic model evaluation and reporting.
+
+'''
+

setup.py

@@ -9,13 +9,13 @@
 setup(
   name = 'mlforall',         # How you named your package folder (MyLib)
   packages = ['mlforall'],   # Chose the same as "name"
-  version = '0.3',      # Start with a small number and increase it with every change you make
+  version = '0.3.1',      # Start with a small number and increase it with every change you make
   license='MIT',        # Chose a license from here: https://help.github.com/articles/licensing-a-repository
   description = 'Library that easily allows to create machine learning progress for more unexperiencied programmers.',   # Give a short description about your library
   author = 'Unai Torrecilla',                   # Type in your name
   author_email = 'unai.torrecilla@alumni.mondragon.edu',      # Type in your E-Mail
   url = 'https://github.com/UnaiTorrecilla/MLForAll',   # Provide either the link to your github or to your website
-  download_url = 'https://github.com/UnaiTorrecilla/MLForAll/archive/refs/tags/v_03.tar.gz',    # I explain this later on
+  download_url = 'https://github.com/UnaiTorrecilla/MLForAll/archive/refs/tags/v_031.tar.gz',    # I explain this later on
   long_description = long_description,
   long_description_content_type = 'text/markdown',
   keywords = ['Machine learning', 'Easy to use'],   # Keywords that define your package best