Python For Data Science

This course was specifically created for A. I Aspirants ( Data Science/Deep Learning/Machine Learning students). It covers all the PYTHON BASICS topics. But still, this course can also be learned by other fields aspirants like Automation, Chatbots, web developers, etc. Because for all the fields this course will create basic knowledge and with this, you can self learn python library easily.

Note: Very soon Python Libraries such as NumPy, Pandas, and Matplotlib courses will be launched. But for all these advanced courses, this “Python For Data Science” course will be the basement for it.

” 9 main reasons to Learn Python !!! ”

1. Python’s popularity

When compared to all other programming languages, python is extremely simple, and easy to learn, interpret and implement. Due to this reason, it became very popular and trending programming right now.

2. High salary

The job demand for python programmers is high. Python engineers have some of the highest salaries in the industry.

The average Python developer salary in the US is $110,021 and $123,743 per year according to the survey conducted by Gooroo and Indeed respectively

3. Python is used in Data Science

There are plenty of Python scientific packages for data visualization, machine learning, natural language processing, complex data analysis, and more. All of these factors make Python a great tool for scientific computing and a solid alternative for commercial packages such as MatLab. The most popular libraries and tools for data science are Pandas, matplotlib, NumPy, sci-kit-learn, Mlpy, NetworkX, Theano, SymPy, and TensorFlow

4. Python is used in Automation

IT industries are now moving towards Artificial Intelligence in Automation. So Python with Robot framework combination is the best alternative for Selenium Webdriver with Java as it is an easier road map with no programming background.

5. Python used with Big Data

Pydoop is a Python interface to Hadoop that allows you to write a MapReduce program in Python and process data present in the HDFS cluster.

Its features such as a rich HDFS API; a MapReduce API that allows writing of pure Python record readers/writers, partitioners and combiners, transparent Avro (de)serialization, and easy installation-free usage.

6. Chat Bots

A chatbot is an artificial intelligence-powered piece of software in a device (Siri, Alexa, Google Assistant, etc), application, website, or other network that tries to gauge consumer’s needs and then assist them to perform a particular task like a commercial transaction, hotel booking, form submission, etc.

NLTK(Natural Language Toolkit) library is a leading platform for building Python programs to work with human language data.

7. Python in Web Development

Python has a wide range of frameworks for developing websites. The most popular frameworks are Django, Flask, Web2Py, Turbo Gears, etc. These frameworks are written in Python, so it’s easier to implement and use it for web development.

8. Computer Graphics in Python

Python is largely used to build GUI and desktop applications. The Python Computer Graphics Kit is a generic 3D package that can be useful in any domain where you have to deal with 3D data of any kind, be it for visualization, creating photorealistic images, Virtual Reality, or even games

9. Game Developer

Python libraries such as PyGame, Pyglet, PyOpenGL, etc. are used to develop 2D and 3D games with easy coding. Learning any one of these packages can able to create rapid game prototyping or for beginners learning how to make simple games.