Creating Tables with PrettyTable

🔸PrettyTable is a simple Python library designed to make it easy to represent tabular data in nice and neat ASCII tables.

⚙️Installation
pip install prettytable

PrettyTable class, provided by this library, allows you to create such a tables. To add a new row to a table, simply set the field names of your table using the field_names attribute, and then add rows using the add_row() method.
You can add columns as well by using the add_column() method, which takes two arguments: the column name and a list or tuple which contains the column data.

🔗GitHub

#prettytable

Neural Networks 📺

This playlist has everything you need to know about Neural Networks, from the basics, all the way to image classification with Convolutional Neural Networks.

1. Neural Networks Pt. 1: Inside the Black Box [YouTube]
2. The Chain Rule [YouTube]
3. Gradient Descent, Step-by-Step [YouTube]
4. Neural Networks Pt. 2: Backpropagation Main Ideas [YouTube]
5. Backpropagation Details Pt. 1: Optimizing 3 parameters simultaneously. [YouTube]
...
13. Neural Networks Part 8: Image Classification with Convolutional Neural Networks [YouTube]

🔗Full YouTube playlist

#materials #machinelearning #neuralnetworks

Python Data Validation for Humans

🔸Validators is a simple validation library where validating a value does not require defining a form or a schema.

⚙️Installation

pip install validators

The library allows you to validate emails, urls, and more specific strings including ipv4/ipv6, slug etc. Each validator is a simple function that takes the value to validate and possibly some additional key-value arguments. Each function returns True when validation succeeds and ValidationFailure object when validation fails.

🔗GitHub
🔗Docs

#validators

Super Lightweight Web-framework

🔸Bottle is a fast and simple WSGI micro web-framework for Python. It is distributed as a single file module and has no dependencies other than the Python Standard Library.

⚙️Installation
pip install bottle

Bottle is perfect for small web applications and rapid prototyping. It’s also an excellent learning tool for those just getting starting with web development. To create a working web page just run the example code above, then point your browser to http://localhost:8080/hello/world and that's it.

🔗Docs
🔗GitHub

#bottle #web

Beginner's Python Cheat Sheets 📚

"Beginner's Python Cheat Sheets" by Eric Matthes is a collection of cheat sheets which have short descriptions of each major concept, brief explanations of how and why we use them, and short code snippets that show the relevant syntax. They also include hints about how to think about different aspects of programming and helpful links to other resources.

💾 Download

#materials #cheatsheet

Image To Text

🔸Python-tesseract is an optical character recognition (OCR) tool for python. With this library you can easily detect and extract the text embedded in images.

⚙️Installation
Windows:
1. pip install pytesseract
2. Download Tesseract OCR here and install it.
3. Add tesseract installation path to PATH environment variable (here's a video in case you get stuck).
Linux:
sudo apt-get update
sudo apt-get install tesseract-ocr
sudo apt-get install libtesseract-dev

Python-tesseract can read all image types supported by the Pillow and Leptonica imaging libraries, including jpeg, png, gif, bmp, tiff, and others. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file. You can also work with multiple languages not only with English!

🔗GitHub

#pytesseract #OCR

Pandas Tutorials 📺

Pandas is a data analysis library that allows you to easily work with different types of data. If you're getting into the data science field, then this library is going to be essential to learn.

1. Getting Started with Data Analysis - Installation and Loading Data [YouTube]
2. DataFrame and Series Basics - Selecting Rows and Columns [YouTube]
3. Indexes - How to Set, Reset, and Use Indexes [YouTube]
4. Filtering - Using Conditionals to Filter Rows and Columns [YouTube]
5. Updating Rows and Columns - Modifying Data Within DataFrames [YouTube]
...
11. Reading/Writing Data to Different Sources - Excel, JSON, SQL, Etc [YouTube]

🔗Full YouTube playlist

#materials #pandas #dataanalysis