Yodo. Python Marathon 100 Projects in 100 Days

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About Course

Python Courses from Zero to Pro: 100 Projects in 100 Days

Start learning Python with the course “Python Courses from Zero to Pro”! This course is perfect for beginners and those who want to deepen their knowledge. Over 100 days, by creating a new project daily, you will master the language by dedicating just 1 hour a day. The program includes up-to-date materials and tools used by companies like Google, Apple, and Netflix. Check out the blog to learn more about the course, and read student reviews to see their results.

Course Benefits:

  1. 60+ hours of training: Clear, step-by-step instructions will help you quickly grasp the material.
  2. Real projects: You will complete tasks similar to work cases. For example, create an auto-swiper for Tinder, a blog, a Snake game, and automate LinkedIn applications.
  3. Modern tools: The course covers Jupyter Notebook, PyCharm, and Selenium. These skills are in demand in the market.
  4. Cost savings: Online learning in this course is cheaper than in-person courses and is available at a convenient time and place.
  5. Flexible schedule: Take lessons at a convenient time and progress at your own pace.

The “Python Courses” program includes:

  • Basics of Python 3, PyCharm, Jupyter Notebook
  • Task automation in Python, web scraping, Beautiful Soup
  • Data Science: data analysis with Pandas, NumPy, Matplotlib, and Seaborn
  • Creating games and GUI applications in Python with Tkinter
  • Front-End and Back-End: HTML, CSS, Flask, REST API

Result: This course will provide you not only with skills but also with a portfolio of 100 projects. They will demonstrate your knowledge and attract employers.

After this course, we recommend taking the Machine Learning in Python — Complete Course.

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What Will You Learn?

  • You will master the Python programming language by creating 100 unique projects over 100 days.
  • You will learn automation, game development, application and web development, data science, and machine learning, all using Python.
  • You will be able to program in Python professionally.
  • You will study Selenium, Beautiful Soup, Request, Flask, Pandas, NumPy, Scikit Learn, Plotly, and Matplotlib.
  • You will create a portfolio of 100 Python projects to apply for developer positions.
  • You will be able to create fully functional websites and web applications using Python.
  • You will be able to use Python for data science and machine learning.
  • You will create games like Blackjack, Pong, and Snake using Python.
  • You will create graphical interfaces and desktop applications using Python.

Course Content

How to become a Python programmer and make money from it?
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Day1. Beginner-Working with Variables in Python to manage Data
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Day 2 – Beginner – Understanding Data Types and How to Manipulate Strings
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Day 3 – Beginner – Control Flow and Logical Operators
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Day 4 – Beginner – Randomization and Python Lists
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Day 5 – Beginner – Python Loops
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Day 6 – Beginner – Python Functions & Karel
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Day 7 – Beginner – Hangman
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Day 8 – Beginner – Function Parameters & Caesar Cipher
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Day 9 – Beginner – Dictionaries, Nesting and the Secret Auction
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Day 10 Goals
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Day 11 – Beginner – The Blackjack Capstone Project
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Day 12 – Beginner – Scope & Number Guessing Game
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Day 13 – Debugging
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Day 14 – Beginner – Higher Lower Game Project
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Day 15 – Intermediate – Local Development Environment
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Day 16 – Intermediate – Object Oriented Programming (OOP)
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Day 17 – Intermediate – The Quiz Project & the Benefits of OOP
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Day 18 – Intermediate – Turtle & the Graphical User Interface (GUI)
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Day 19 – Intermediate – Instances, State and Higher Order Functions
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Day 20 – Intermediate – Build the Snake Game Part 1
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Day 21 – Intermediate – Build the Snake Game Part 2
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Day 22 – Intermediate – Build Pong: The Famous Arcade Game
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Day 23 – Intermediate – The Turtle Crossing Capstone Project
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Day 24 – Intermediate – Files, Directories, and Paths
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Day 25 – Intermediate – Working with CSV Data and the Pandas Library
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Day 26 – Intermediate – List Comprehension in Python
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Day 27 – Intermediate – Tkinter, *args, **kwargs and Creating GUI Programs
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Day 28 – Intermediate – Tkinter Dynamic Typing, Pomodoro GUI Application
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Day 29 – Intermediate – Building a Password Manager GUI Application
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Day 30 – Intermediate – Error Handling in Python
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Day 31 – Intermediate – Flash Card App Capstone Project
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Day 32 – Intermediate+ – Send Email (smtplib) & Manage DateTime
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Day 33 – Intermediate+ – API Endpoints & API Parameters – ISS Overhead Notifier
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Day 34 – Intermediate+ – API Endpoints & API Parameters – Open Trivia DB
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Day 35 – Intermediate+ – Keys, Authentication & Environment Variables: Send SMS
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Day 36 – Intermediate+ – Stock Trading News Alert Project
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Day 37 – Intermediate+ – Habit Tracking Project: API Post Requests & Authentication
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Day 38 – Intermediate+ – Workout Tracking Using Google Sheets
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Day 39 – Intermediate+ – Capstone Part 1: Flight Deal Finder
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Day 40 – Intermediate+ Capstone Part 2: Flight Club
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Day 41 – Web Foundation – Introduction to HTML
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Day 42 – Web Foundation – Intermediate HTML
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Day 43 – Web Foundation – Introduction to CSS
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Day 44 – Web Foundation – Intermediate CSS
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Day 45 – Intermediate+ Web Scraping with Beautiful Soup
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Day 46 – Intermediate+ Create a Spotify Playlist using the Spotify API
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Day 47 – Intermediate+ Create an Automated Amazon Price Tracker
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Day 48 – Intermediate+ Selenium Webdriver Browser and Web Scraping
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Day 49 – Intermediate+ Automated Job Applications on LinkedIn
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Day 50 – Intermediate+ Auto Tinder Swiping Bot
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Day 51 – Intermediate+ Internet Speed Twitter Complaint Bot
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Day 52 – Intermediate+ Instagram Follower Bot
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Day 53 – Intermediate+ Web Scraping Capstone – Data Entry Automation
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Day 54 – Intermediate+ Introduction to Web Development
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Day 55 – Intermediate+ HTML & URL Parsing in Flask and the Internet
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Day 56 – Intermediate+ Rendering HTML/Static files and Templates with Flask
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Day 57 – Intermediate+ Templating with Jinja in Flask
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Day 58 – Intermediate+ Building REST APIs
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Day 59 – Intermediate+ Blog Capstone Part 2 – Working with APIs
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Day 60 – Advanced – Make POST Requests with Flask and HTML Forms
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Day 61 – Advanced – Building Advanced Forms with Flask-WTF
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Day 62 – Advanced – Flask, WTForms, Bootstrap and CSV – Coffee & Wi-Fi Project
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Day 63 – Advanced – Databases with SQLite and SQLAlchemy
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Day 64 – Advanced – My Top 10 Movies Website
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Day 65 – Web Design
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Day 66 – Advanced – Building Your Own API with RESTful Routing
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Day 67 – Building a RESTful Blog with Editing
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Day 68 – Advanced – Authentication with Flask
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Day 69 – Advanced – Blog Capstone Project Part 4 – Adding Users
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Day 70 – Git and GitHub Version Control
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Day 71 – Advanced – Deploying Your Web Application
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Day 72 – Data Science
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Day 73 – Advanced – Data Visualization with Matplotlib
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Day 74 – Advanced – Aggregate & Merge Data with Pandas
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Day 75 – Advanced – Google Trends Data: Resampling and Analysis
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Day 76 – Advanced – Cleaning and Visualizing Data with Plotly
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Day 77 – Advanced – NumPy for Data Science
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Day 78 – Advanced – Linear Regression and Data Visualization
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Day 79 – Advanced – Visualizing Nobel Prize Data
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Day 80 – Advanced – The Tragic Discovery of Handwashing: the Puerperal Fever Case Study
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Day 81 – Advanced – Capstone Project – Predict House Prices
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Day 82 – Professional Portfolio Project – [Python Scripting]
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Day 83 – Professional Portfolio Project – [Python Web Development]
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Day 84 – Professional Portfolio Project – [Python Scripting]
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Day 85 – Professional Portfolio Project – [GUI]
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Day 86 – Professional Portfolio Project – [GUI]
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Day 87 – Professional Portfolio Project – [Game]
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Day 88 – Professional Portfolio Project – [Web Development]
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Day 89 – Professional Portfolio Project – [Web Development]
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Day 90 – Professional Portfolio Project – [GUI Desktop App]
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Day 91 – Professional Portfolio Project – [HTTP Requests & Web Scraping]
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Day 92 – Professional Portfolio Project – [Image Processing]
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Day 93 – Professional Portfolio Project – [Web Scraping]
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Day 94 – Professional Portfolio Project – [GUI Automation]
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Day 95 – Professional Portfolio Project – [Game]
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Day 96 – Professional Portfolio Project – [HTTP Requests & APIs]
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Day 97 – Professional Portfolio Project – [Web Development]
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Day 98 – Professional Portfolio Project – [Python Automation]
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Day 99 – Professional Portfolio Project – [Data Science]
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Day 100 – Professional Portfolio Project – [Data Science]
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Student Ratings & Reviews

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