Projects In Python For Intermediate 2022

Projects In Python For Intermediate

Here Is What You Get By Enrolling In This Course:

Word–By–Word Explanation: In the entire course, I explain each line of code, without skipping a single line of code.

Awesome Quality Content: Over 10+ hours of HD Videos.

Well Structured & Easy To Learn: Course has been specially designed to make it easy for the students to learn Django starting from a basic level and gradually moving up to advance concepts.

24 X 7 Support: I will always be there to guide you in your journey to become a Django expert.

Here Is Everything You Will Learn In This Complete Course:

In this hands–on course, you will learn how to build Python projects using your existing Python skills.

In this course we will build 4 Major apps covering technologies like Django, OpenCV, Implementing Machine Learning Models, Rake NLTK, Tkinter and a lot more.

Here is a brief description of what you will learn in each section of the course:

Section 1: Building A Data Analysis & Visualisation Web App.

Technologies used:

Python : Programming Language

Django : For web based app.

Pandas: For data analysis.

ChartJS: For data visualisation.

Project description:

In this section we will be building a data analytics and visualisation web app. This app will read data from a raw CSV file in a pre–defined format and will generate visualisation charts for us. We will start off by reading and understanding the software requirements specification document and figuring out what exactly needs to be built. This SRS document will mimic the real document which is given by clients to software developers. We then setup the required development environment on our machine required to build the project. As this is a web app, we use Django as a platform to build our entire app, we learn how to download and install Django on our machine and also learn a view basics about Django to get started. We will then learn how to make our Django app read a CSV file submitted by the user and then read data from it. We will learn how to convert the CSV data into a pandas data frame so that the data could be manipulated and analysed. We then render out this data to a HTML page and display it in a tabular format. We also analyse the data using pandas and then feed the analysed data to a Django template and display it in terms of charts for data visualisation. We make use of a library called as ChartJS to display data on our webpage. Hence in this project we learn how multiple technologies like Django, Pandas, ChartJS integrates together to form a working web app.