{"id":18647423,"url":"https://github.com/emanoelcampos/python-onemonth","last_synced_at":"2026-05-09T04:31:12.989Z","repository":{"id":226288462,"uuid":"768278902","full_name":"emanoelcampos/python-onemonth","owner":"emanoelcampos","description":"This repository contains educational materials and projects developed during a Python course offered by OneMonth. It covers Python basics, intermediate concepts, web development with Flask, and data analysis with pandas. 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The course is divided into several  *weeks*, each focusing on a different aspect of `Python` programming and its applications.\n\n## Week 1: Introduction to Python Basics\n\n\u003cimg align=\"right\" src=\"https://user-images.githubusercontent.com/25181517/183423507-c056a6f9-1ba8-4312-a350-19bcbc5a8697.png\" width=\"200\"\u003e\n\n### Overview\n- Explored the wide applications of `Python` in various fields.\n- Compared `Python` with other programming languages.\n- Learned about the history of `Python` and the differences between `Python 2` and `Python 3`.\n\n### Setup and Basic Python\n- Installed `Python` via the `Anaconda` distribution and set up a code editor.\n- Learned `command line` basics and executed `Python` scripts.\n- Understood `Python` syntax, variables, and printing data to the screen.\n- Explored debugging techniques and added comments to code for better readability.\n\n## Week 2: Intermediate Python Concepts\n\n\u003cimg align=\"right\" src=\"https://user-images.githubusercontent.com/25181517/183914128-3fc88b4a-4ac1-40e6-9443-9a30182379b7.png\" width=\"200\"\u003e\n\n\n### Overview\n- Expanded knowledge of `Python` by learning intermediate concepts.\n- Practiced debugging skills and applied knowledge to practical assignments.\n\n### Intermediate Python\n- Learned about **conditional statements, logical operators, and control flow** in `Python`.\n- Explored `Python` **data structures** like lists and `dictionaries`.\n- Studied `functions`, arguments, and scope in `Python`.\n- Practiced **data analysis** using `pandas` library and visualization with `Matplotlib` and `Seaborn`.\n\n## Week 3: Web Apps and Data Analysis\n\n### Overview\n- Learned about building web applications with `Flask` and analyzing data with `pandas`.\n\n\u003cimg align=\"right\" src=\"https://user-images.githubusercontent.com/25181517/183423775-2276e25d-d43d-4e58-890b-edbc88e915f7.png\" width=\"200\"\u003e\n\n### Building Web Applications with Flask\n- Set up `Flask` framework and created basic **web pages**.\n- Explored `Flask` templates, conditional logic in `HTML`, and includes for reusable code.\n- Learned about debugging in `Flask` and serving new pages.\n\n\n### Data Analysis with pandas\n- Imported and manipulated data using `pandas` library.\n- Visualized `data` using `Matplotlib` and `Seaborn` libraries.\n- Explored **advanced data selection, grouping data, and data cleaning techniques**.\n\n## Week 4: Conclusion and Certification\n\n### Conclusion\n- Recapitulated learning from the course, covering `Python` basics, intermediate concepts, web development with `Flask`, and **data analysis** with `pandas`.\n\n## Setup\n\nTo run the code in this repository, you will need Python installed on your machine. You can download Python [here](https://www.python.org/downloads/).\n\n## Contributing\n\nThis repository is for personal educational purposes. However, suggestions and advice are always welcome. Please feel free to open an issue or create a pull request.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanoelcampos%2Fpython-onemonth","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Femanoelcampos%2Fpython-onemonth","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Femanoelcampos%2Fpython-onemonth/lists"}