Learn Python by Doing with 100 Projects

Learn Python by Doing with 100 Projects, available at $84.99, with 154 lectures, and has 153 subscribers.

You will learn about Build confidence in Python programming. Learn to build real-world programs. Develop problem-solving skills. Create a portfolio of 100 diverse projects. This course is ideal for individuals who are Beginner Python programmers. or Coding enthusiasts. or Professionals who want to add Python to their skillset. or University students. It is particularly useful for Beginner Python programmers. or Coding enthusiasts. or Professionals who want to add Python to their skillset. or University students.

Enroll now: Learn Python by Doing with 100 Projects

Summary

Title: Learn Python by Doing with 100 Projects

Price: $84.99

Number of Lectures: 154

Number of Published Lectures: 151

Number of Curriculum Items: 154

Number of Published Curriculum Objects: 151

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

Build confidence in Python programming.
Learn to build real-world programs.
Develop problem-solving skills.
Create a portfolio of 100 diverse projects.

Who Should Attend

Beginner Python programmers.
Coding enthusiasts.
Professionals who want to add Python to their skillset.
University students.

Target Audiences

Beginner Python programmers.
Coding enthusiasts.
Professionals who want to add Python to their skillset.
University students.

This Python course is the perfect course for anyone who knows the basics but wants to take their skills to the next level by building real-world applications. This course offers a unique, hands-on approach to learning Python that goes beyond simply following along with an instructor.

What You’ll Get:

50 Instructor-Led Projects: Watch as an experienced programmer walks you through the process of building 50 diverse and practical Python applications. Each project is broken down step-by-step, with detailed explanations of the logic and behind every decision.
50 Independent Projects: After watching the instructor, it’s your turn to put what you’ve learned into practice. You’ll receive written project requirements, just like in a professional setting, and build a similar program on your own. This approach ensures that you not only understand the concepts but can apply them independently.

Why This Course Stands Out:

Other courses often require you to replicate what the instructor does in the video, which can be repetitive and unengaging. In this course, you can watch, learn, and then dive into coding with your own project. This method helps you develop real confidence in your programming abilities.

Is This Course for You?

This course is ideal if you already have a basic understanding of Python concepts like variables, data types, loops, conditionals, and functions. If these fundamentals are still unclear, don’t worry—you’ll see them in action repeatedly and gain a deep understanding by building your own projects.

By the end of this course, you’ll have built 100 Python projects and gained the experience and confidence to tackle programming challenges on your own.

Course Curriculum

Chapter 1: Guessing Games

Lecture 1: How to Take the Course

Lecture 2: Number Guessing Game (Tutorial)

Lecture 3: Word Guessing Game (Project Description)

Lecture 4: Word Guessing Game (Project Solution)

Chapter 2: Translating Text

Lecture 1: DeepL Translator (Tutorial)

Lecture 2: DeepL Translator with Save to File Feature (Project Description)

Lecture 3: DeepL Translator with Save to File Feature (Project Solution)

Chapter 3: String Manipulation

Lecture 1: Reversing Text (Tutorial)

Lecture 2: Conver Text to Sentence Case (Project Description)

Lecture 3: Convert Text to Sentence Case (Project Solution)

Chapter 4: Manipulating JSON Data

Lecture 1: Country JSON Data (Tutorial)

Lecture 2: Quizes JSON Data (Project Description)

Lecture 3: Quizes JSON Data (Project Solution)

Chapter 5: Converting Between Excel, CSV, JSON

Lecture 1: Converting Excel to JSON (Tutorial)

Lecture 2: Convert Excel to CSV (Project Description)

Lecture 3: Convert Excel to CSV (Project Solution)

Chapter 6: Using APIs

Lecture 1: Discovering Historical Events (Tutorial)

Lecture 2: Discovering Country Data (Project Description)

Lecture 3: Discovering Country Data (Project Solution)

Chapter 7: Batch File Processing

Lecture 1: Add Date to Filenames (Tutorial)

Lecture 2: Rename Filenames (Project Description)

Lecture 3: Rename Filenames (Project Solution)

Chapter 8: Processing Columns in Excel

Lecture 1: Adding New Columns to Excel (Tutorial)

Lecture 2: Calculate Column in Excel (Project Description)

Lecture 3: Calculate Column in Excel (Project Solution)

Chapter 9: Building REST APIs with Flask

Lecture 1: Building a Book API with Flask (Tutorial)

Lecture 2: Build a Recipe API with Flask (Project Description)

Lecture 3: Build a Recipe API with Flask (Project Solution)

Chapter 10: Command Line Based Apps

Lecture 1: Command Line To-do List (Tutorial)

Lecture 2: Command Line Dairy (Project Description)

Lecture 3: Command Line Dairy (Project Solution)

Chapter 11: Regular Expressions (Regex)

Lecture 1: Extracting Email Addresses from Text (Tutorial)

Lecture 2: Extract the First Sentence (Project Description)

Lecture 3: Extract the First Sentence (Project Solution)

Chapter 12: SQL Queries

Lecture 1: Extracting Album Data from Database (Tutorial)

Lecture 2: Extract Invoices from Database (Project Description)

Lecture 3: Extract Invoices from Database (Project Solution)

Chapter 13: Merging Excel Files with Python

Lecture 1: Merging Excel Files (Tutorial)

Lecture 2: Merge Excel Files with Condition (Project Description)

Lecture 3: Merge Excel Files with Condition (Project Solution)

Chapter 14: Analyzing User Input

Lecture 1: Analyzing Text Input (Tutorial)

Lecture 2: Analyzing Numerical Input (Project Description)

Lecture 3: Analyzing Numerical Input (Solution)

Chapter 15: Processing Word Docs with Python

Lecture 1: Modifying Word Documents (Tutorial)

Lecture 2: Merge Word Documents (Project Description)

Lecture 3: Merge Word Documents (Project Solution)

Chapter 16: Processing Text Files

Lecture 1: Counting Word Frequencies (Tutorial)

Lecture 2: Merge Text Files (Project Description)

Lecture 3: Merge Text Files (Project Solution)

Chapter 17: Utility Web Apps with Streamlit

Lecture 1: Excel to JSON Converter Web App (Tutorial)

Lecture 2: Excel to CSV Converter Web App (Project Description)

Lecture 3: Excel to CSV Converter Web App (Project Solution)

Chapter 18: Interactive Streamlit Web Apps

Lecture 1: Live Currency Converter Web App (Tutorial)

Lecture 2: Distance Converter Web App (Project Description)

Lecture 3: Distance Converter Web App (Project Solution)

Chapter 19: More Interactive Streamlit Web Apps

Lecture 1: Generating People's Names Web App (Tutorial)

Lecture 2: Discovering Historical Events Web App (Project Description)

Lecture 3: Discovering Historical Events Web App (Project Solution)

Chapter 20: Data Visualization with Streamlit

Lecture 1: Plotting Data from Multiple Files (Tutorial)

Lecture 2: Plot Numbers from Files (Project Description)

Lecture 3: Plot Numbers from Files (Project Solution)

Chapter 21: Polars Data Analysis Library

Lecture 1: Analyzing Car Specifications (Tutorial)

Lecture 2: Analyze Plant Data (Project Description)

Lecture 3: Analyze Plant Data (Project Solution)

Chapter 22: Data Analysis and Visualization with Polars

Lecture 1: Analyzing Weather Data (Tutorial)

Lecture 2: Analyze Car Sales (Project Description)

Lecture 3: Analyze Car Sales (Project Solution)

Chapter 23: Mobile Apps with Kivy

Lecture 1: Translator Mobile App with Kivy (Tutorial)

Lecture 2: Adding Numbers Mobile App with Kivy (Project Description)

Lecture 3: Adding Numbers Mobile App with Kivy (Project Solution)

Chapter 24: Extracting Data from USGS API

Lecture 1: Earthquake Data for Any Date Range (Tutorial)

Lecture 2: Earthquake Data for Yesterday (Project Description)

Lecture 3: Earthquake Data for Yesterday (Project Solution)

Chapter 25: PyQt Desktop GUI Library

Lecture 1: Temperature Converter (Tutorial)

Lecture 2: BMI Calculator (Project Description)

Instructors

Ardit Sulce
Python Programmer. Founder and Author, PythonHow.

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Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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