Welcome To
Python PROJECTS PAGE
This page contains projects that were done in python. The projects that were covered here ranges from:
- Data Wrangling
- Data Cleaning and data manipulation
- Data Visualization
- Exploratory Data Analysis
- Machine Learning
- Automating tasks with Python
- Database manipulation with Python And more ...
What is Python and why it is an important tool for data analysts?
Python is a multi-functional, maximally interpreted programming language with several adavantages that are often used to streamline massive, complex data sets.
Python has a number of distinguishing characteristics that make it the best option for data analysis.
Python is the ideal choice for data analysts and data scientists because
a) Easy to learn
Python focuses on both simplicity and readaility,while also providing a plethora of useful options for data analysts/scientists.
b) Flexibility
Python's extremely versatitlity is another powerful attribute that makes it popular among data scientists and data analysts.
As a result, data models can be created, data sets can be systematized, ML-powered algorithms can be developed, web services can be developed, and data mining can be used to complete various tasks in a short amount of time.
c) Huge librariers collection
It has many complete free libraries that are open to the public. It's worth nothing that the libraries are constantly expanding, providing robust solutions.
d) Graphics and Visualization
Python provides users with a plethora of different visualization options. As a conseuence, it is a must-have method for all data science, not just data processing.
By developing numerous charts and graphics, as well as web-ready interactive plots, data analysts can make data more available.
e) Built-in data analytics tools
Python's built-in tools make it a perfect tool for processing complex data. Python's built-in analytics tools can also easily penetrate patterns,correlate information in extensive sets, and provide better insights, in addition to other critical matrices in evaluating performance.
