Progress bar

🔸tqdm is a Python library that allows you to output a smart progress bar by wrapping around any iterable. A tqdm progress bar not only shows you how much time has elapsed, but also shows the estimated time remaining for the iterable.

⚙️Installation
pip install tqdm

To start using tqdm you just need to wrap the tqdm() function around the iterable, which will generate a progress bar while our for-loop is running. We can also assign a name to the progress bar using the desc keyword argument. The resulting tqdm progress bar gives us information that includes the task completion percentage, number of iterations complete, time elapsed, estimated time remaining, and the iterations completed per second.

🔗Github

#progressbar #tqdm

Getting user's password

🔸Getpass is a standard library module that provides a secure way to handle the password prompts where programs interact with the users via the terminal. Using this module, it is possible to accept passwords in Python programs and keep the passphrases safe.

The module provides two functions:

▪️The getpass() function is used to prompt to users using the string prompt and reads the input from the user as Password.
▪️The getuser() function displays the login name of the user.

🔗Docs
🔗[GeeksForGeeks] getpass() and getuser() in Python

#getpass

Spellchecker

🔸Have you ever wondered how search engines make suggestions for correcting misspelled words so accurately? They are using "spelling correction" algorithms. And the pyspellchecker is a Python open-source package that implements such an algorithm.

⚙️Installation
pip install pyspellchecker

As you can see in the screenshot above, pyspellchecker is pretty straightforward to use. It also supports multiple languages including English, Spanish, German, French, and Portuguese.

🔗Github
🔗pyspellchecker documentation

#spellchecker

Underscore Trick

Many of Python developers don't typically know about all the functionalities of the underscore in Python. But actually, you can use the underscore _ to refer to the result of the previously executed command. Check out the code above.

It saves a lot of time and keystrokes if you are using your Python shell as a calculator (just like me 😄).

#tricks

Awesome Python 🐍

♦️The Awesome Python GitHub repository is a thoughtful yet enormous collection of Python frameworks, libraries, tools, and other handy resources. Moreover, the repo also provides links to useful books, newsletters, podcasts, and web series dedicated to making Python easier for everyone.

❗️It's highly recommended to bookmark this GitHub repo so you can easily find the right component for your next project.

🔗Awesome Python GitHub

#materials

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