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Python for Beginners: Getting Started and Data Structures Course Course Summary: Learning to program can be overwhelming, but this course is designed with absolute beginners in mind. Starting from the very basics, Python for Beginners teaches you the fundamental concepts of programming that would typically be covered in a CS 101 course. As you progress, you’ll write increasingly complex Python code and build fun, engaging projects. What Makes This Course Different: Unlike many courses that dive straight into Python syntax, this course focuses on the foundational concepts of programming, making it perfect for those without a formal computer science background. You’ll learn how to approach problem-solving, and along the way, you’ll build real-world projects like games, which will reinforce your learning. Course Highlights:Install Python and set up a proper code editor.Gain a high-level overview of core computer programming concepts.Learn how Python executes code and turns it into software.Work with data types, functions, and essential problem-solving techniques.Understand and use key data structures to optimize your code.Build interactive programs and a basic AI opponent for games.Explore external libraries and handle errors for more polished applications. Who is This Course For? This course is ideal for anyone looking to learn Python and computer programming, especially if you have no formal education in the field or have struggled with programming in the past. A basic understanding of computers and typing skills are all you need to get started. Course Requirements:Basic typing skillsFoundational computer experience (e.g., installing software)A computer running macOS, Windows, or LinuxA desire to learn programming (No prior coding experience required) What Games Will We Build? You’ll apply your learning by building several fun, practical games:Guess the number of M&Ms in a jarTic-Tac-ToeRock-Paper-Scissors (3-way and 7-way)A Connect4 clone Concepts Backed by Concise Visuals: Each chapter is reinforced with clear and concise visuals that help explain key concepts, making it easier for you to grasp the material. Interactive Learning: The course features hands-on practice for nearly every chapter. You’ll be writing code, exploring apps, and solving exercises to solidify your knowledge. Course Outline (Chapters & Lectures):1. Welcome to the course 1.1 Welcome! (1:45) 1.2 Programming is a superpower (2:51) 1.3 Why learn Python (over other languages)? (3:37) 1.4 Student prerequisite knowledge (2:12) 1.5 What will we cover? (4:53) 1.6 How do I get help? (5:19) 1.7 Meet your instructor: Michael Kennedy (1:09)2. Course setup and requirements 2.1 Course setup and requirements (14:35) 2.2 Installing and updating Python (3:06) 2.3 Checking for Python on Windows (2:57) 2.4 I do need to install Python, now what? (0:42) 2.5 Setting up an editor (4:40) 2.6 PyCharm Pro for Free (0:41) 2.7 Git the source code (2:29)3. The big ideas of software development 3.1 The big ideas (2:29) 3.2 Big idea: What is source code? (2:39) 3.3 Examples of code (5:56) 3.4 Big idea: How does code execute? (2:49) 3.5 Code execution diagram (4:23) 3.6 Source code vs. byte code (2:21) 3.7 Big idea: Algorithms (1:57) 3.8 Big idea: Designing an algorithm (3:12) 3.9 Formal algorithms (2:03) 3.10 Beginners and experts (7:06) 3.11 A conversation with Python beginners (1:06)4. Writing your first lines of code 4.1 Writing code intro (2:21) 4.2 Running the Python REPL on macOS (2:04) 4.3 Running the Python REPL on Windows (1:51) 4.4 Demo: Happy birthday to me (5:36) 4.5 Concept: Concept sections (1:33) 4.6 Concept: Variables and types (2:54) 4.7 Visualizing variables (5:41) 4.8 Visualizing mutable data types (3:48) 4.9 Using a built-in library (4:10) 4.10 Getting input from a user (3:43) 4.11 Practice time! (3:44)5. Code that interacts with users 5.1 Interactive code intro (1:00) 5.2 Our first interactive program (1:10) 5.3 Creating a project with PyCharm (2:48) 5.4 Determining the number of M&Ms (5:02) 5.5 Getting the guess (6:03) 5.6 Checking for a win (3:55) 5.7 Exit early on a win (2:24) 5.8 Using a debugger (3:50)6. Organizing and reusing code with functions 6.1 Intro to functions (2:40) 6.2 Intro to our rocks (2:16) 6.3 Demo: Starter Rock Paper Scissors (6:17) 6.4 Checking for a win (6:24) 6.5 Adding a computer opponent (2:37) 6.6 Cleaning up Rock Paper Scissors with functions (5:42) 6.7 Functions for play-game (5:58) 6.8 A function for winning (4:40) 6.9 Adding the best-of feature (6:36) 6.10 Concept: A simple functions (2:01) 6.11 Selecting the roll quickly (6:42) 6.12 Concept: for-in loops (1:55) 6.13 Practice time! (1:43)7. Cleaner code with common data structures 7.1 Introducing data structures (0:58) 7.2 Our Rock Paper Scissors code has issues (2:31) 7.3 Demo: Data structure basics (dicts, sets, lists) (6:16) 7.4 Concept: Dictionaries (1:48) 7.5 Demo: Better rules with dictionaries (4:17) 7.6 Demo: Checking for winner with new rules (5:24) 7.7 Improving win-tracking with dictionaries (5:40) 7.8 Concept: Data structures simplify our code (1:26) 7.9 Concept: Common data structures and when to use them (3:16) 7.10 Practice time (1:14)8. Problem solving techniques for writing software 8.1 Getting started when you’re lost (2:00) 8.2 Some techniques for problem solving in programming (5:38) 8.3 Our problem solving project (1:18) 8.4 Demo: Divide and conquer in action (3:44) 8.5 Demo: Create the board (7:07) 8.6 Demo: Choose the active player (3:38) 8.7 Demo: Play until someone wins (2:46) 8.8 Demo: Show the board (5:11) 8.9 Demo: Choose a location (5:44) 8.10 Demo: Toggle active player (2:43) 8.11 Demo: Find the winner, naive version (9:35) 8.12 Demo: Find the winner, good version (6:09) 8.13 Concept: Remember the debugger (0:42) 8.14 Concept: Refactor as you go (1:30) 8.15 Practice time (4:04)9. Reading and writing files in Python 9.1 Intro to reading and writing files (3:19) 9.2 Max Q (1:46) 9.3 Making the game extensible (3:00) 9.4 Demo: Moving the rules to a file (5:51) 9.5 Demo: Safer file handling (2:37) 9.6 Demo: File location without assumed working directory (3:29) 9.7 Demo: Extending the game (5:00) 9.8 Concept: Reading JSON (1:04) 9.9 Concept: Leader boards! (0:44) 9.10 Demo: Saving wins (6:14) 9.11 Demo: Displaying leaders (6:38) 9.12 Concept: Saving JSON (1:28) 9.13 Demo: Writing lines in a text file (1:59) 9.14 Demo: Adding logging to Rock Paper Scissors (4:29) 9.15 Demo: Writing lines to a text file (6:07) 9.16 Concept: Appending a line to a text file (1:26) 9.17 For real logging use a real framework (1:14) 9.18 Practice exercises (1:51)10. Using external Python packages 10.1 Introducing external packages (2:10) 10.2 Introducing PyPI, the Python Package Index (2:23) 10.3 Adding a little more UI to rock paper scissors (1:26) 10.4 Demo: Creating a virtual env (5:40) 10.5 Managing requirements with the requirements.txt file (2:48) 10.6 Demo: Adding color output with colorama (7:34) 10.7 Word completion, basic edition (6:20) 10.8 Word completion, substring edition (9:07) 10.9 Concept: External packages workflow (1:15) 10.10 Practice exercises (1:01)11. Error handling 11.1 Introduction to Python’s error handling (1:40) 11.2 Where are the invalid numerals (2:23) 11.3 Catching invalid numerals (6:04) 11.4 Invalid file formats (7:16) 11.5 Stepping through errors in the debugger (3:08) 11.6 Concept: Python’s exception handling (1:26) 11.7 Practice time (1:25)12. Course conclusion 12.1 Conclusion (0:29) 12.2 Review: Variables and types (2:00) 12.3 Review: Conditional statements (1:01) 12.4 Review: Functions (1:43) 12.5 Review: Data structures (2:19) 12.6 Review: Problem solving (2:05) 12.7 Review: File I/O (1:30) 12.8 Review: External packages (0:57) 12.9 Review: Git the source code (0:24) 12.10 Time to get in the game (0:55)13. Appendix: Jupyter as your editor for this course 13.1 What are Jupyter notebooks (1:54) 13.2 Setting up Jupyter lab as your editor (1:43) By the end of this course, you’ll not only have a solid understanding of Python programming but also the skills to write your own interactive games and build real-world projects with confidence. Enroll Now and Start Coding with Python!Delivery:Upon purchase, you will receive a message containing a Google Drive link within 24 hours (if not immediately). Simply copy and paste this link into your browser, preferably in a private window (Incognito).PS: The listing includes actual screenshots of the files you will receive upon purchase.

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