All About How I started Python - Udemy

**Full Course Summary Blog — What I Learned from Angela Yu’s 100 Days of Code

Title: My Complete Python Journey – What I Learned from Angela Yu’s 100 Days of Code Date: 2025-07-01 Course: Angela Yu — 100 Days of Code (Python) Tags: outreachy, python, learning-journal, 100daysofcode, self-taught Series: 100 Days of Code (Udemy)

** Why I Took This Course

I started this course to build a strong foundation in Python and programming. My goal was to eventually work with open source and data science projects. Angela Yu’s approach made it easy to follow along, even as a beginner.

**Key Concepts I Learned

* Python Fundamentals

• Variables, data types, and type casting

• f-strings, string manipulation, arithmetic operations

• Input/output and basic debugging

* Control Flow

• if/else statements

• Comparison and logical operators

• While loops, for loops, and break/continue

* Functions

• Defining and calling functions

• Arguments, return values, scope, and recursion

* Data Structures

• Lists, dictionaries, tuples, sets

• List and dictionary comprehensions

* Error Handling

• try/except blocks

• Handling different types of errors

* Python Modules and Packages

• Using built-in modules like random, datetime, math

• Importing and organizing code into files and packages

* File Handling

• Reading from and writing to files

• Working with CSV and JSON

* Object-Oriented Programming

• Classes, objects, attributes, methods

• Inheritance, encapsulation, and the init() method

* GUI Development

• Tkinter basics: labels, buttons, entry fields

• Simple GUI apps: password manager, flashcard app

* Web Development with Flask

• Routing, templates (Jinja), HTML forms

• Creating an eCommerce project with login and Stripe payments

* Web Scraping & APIs

• Using BeautifulSoup and requests

• Calling REST APIs, handling JSON

• Building a weather app with OpenWeatherMap API

* Automation

• Sending emails and SMS with Python

• Working with date/time, scheduling tasks

* Final Capstone Projects

• Flask eCommerce app

• Habit tracker API integration

• Portfolio-style web apps

** Lessons Beyond the Code

• Consistency matters more than perfection

• Writing clean, readable code helps in the long run

• It's okay to get stuck — learning how to debug is part of the process

• Documenting what you learn (like blogging!) is powerful

** Tools I Used

• VS Code

• Git & GitHub

• Git Bash / Terminal

• Flask, requests, BeautifulSoup, Pandas

* What I’m Confident In Now

• Writing Python scripts from scratch

• Creating and deploying basic web apps

• Working with APIs and external data

• Navigating errors, debugging, and reading docs

* What’s Next for Me

• Jumping to Data Science, ML and AI

• Practicing Projects

• Start contributing to open source via Outreachy

• Begin structured learning for data science (Pandas, NumPy, matplotlib)

• Learn Git more deeply (branches, pull requests)

• Build real-world projects and post on GitHub

* Final Thoughts

This course has been an incredible journey. I’m proud of the progress I’ve made and grateful for the structure it provided. If you're new to Python and want a well-paced introduction — Angela Yu’s 100 Days of Code is a great place to start.