Computer Science L-31
During this period I learned:
- Sorting Algorithms
- Creating and managing relational databases with MySQL
- Data Structures
- Linear Algebra, Calculus Math, Statistics & Discrete Mathematics
- OSI model, TCP/IP protocol and UDP Protocol
ANGELO
FRANCIAMORE
Junior Software Developer & Tech Enthusiast
PORTFOLIO
Book Management
WebApp that work as Library Managament in which you can add or remove an Book in a simple interface.
Transport Strikes in Italy
In this Data Analysis and Visualization project, using the DataSet made available by the Ministry of Infrastructure and Transport, 4 graphs will be created on the problem of worker strikes transport in Italy.
Sicily Seismicity Data Analysis
This project create two choropleth maps about the Seismicity in Sicily. Project made with Python, Pandas, Matplotlib & Plotly
TECHNICAL SKILLS
Programming Languages
• C++: Project development for ESP8266.
• Python: Utilization of libraries such as Pandas, Matplotlib, Plotly, BeautifulSoup, and Unit Testing. Backend development with Flask.
• JavaScript: Server-side development using NodeJS and Express/Axios for HTTP request.
• Python: Utilization of libraries such as Pandas, Matplotlib, Plotly, BeautifulSoup, and Unit Testing. Backend development with Flask.
• JavaScript: Server-side development using NodeJS and Express/Axios for HTTP request.
Web
Development
• HTML & CSS: Creation of static websites and use of Bootstrap for responsive design.
• Flask: Used to create WebApps with RESTful API.
• React: Good knowledge for creating dynamic UIs.
• Flask: Used to create WebApps with RESTful API.
• React: Good knowledge for creating dynamic UIs.
Frameworks &
Tools
• RabbitMQ: Integration of the AMQP protocol.
• Flutter: Basic knowledge for developing simple static mobile applications (Android).
• mySQL: Creation and management of databases.
• Flutter: Basic knowledge for developing simple static mobile applications (Android).
• mySQL: Creation and management of databases.
Python Packages
• Matplotlib & Plotly: Creation of static and interactive visualizations. Also I created choropleth maps.
• Pandas: Data manipulation.
• BeautifoulSoup: Data scraping.
• Pandas: Data manipulation.
• BeautifoulSoup: Data scraping.
EDUCATION & WORK EXPERIENCES
2019
2023
Computer Science for Digital Businesses L-31
During this period I learned:
- Distributed Systems, Thread, Remote Procedure Call, Cluster Computing
- GDPR & Privacy on the web
- Creation of web interfaces using the Bootstrap framework.
- Utilization of Flask to create WebApps with RESTful API.
- NodeJS for client-server communication.
- RabbitMQ to integrate the AMQP protocol.
100 Days of Code: The Complete Python Pro Bootcamp
During this course I learned:
- Syntax of Python language
- Pandas for data manipulation
- Matplotlib for creating plot
- Flask for Backend and for the creation of the API Rest
- BeautifulSoup for Data Scraping
- Others: SQLite, Selenium Web Driver & Tkiinter