
Insights from recent episode analysis
Audience Interest
Podcast Focus
Publishing Consistency
Platform Reach
Insights are generated by CastFox AI using publicly available data, episode content, and proprietary models.
Total monthly reach
Estimated from 40 chart positions in 40 markets.
By chart position
- 🇦🇺AU · Courses#17300K to 1M
- 🇺🇸US · Courses#43100K to 300K
- 🇬🇧GB · Courses#5330K to 100K
- 🇨🇦CA · Courses#9430K to 100K
- 🇩🇪DE · Courses#1015K to 30K
- Per-Episode Audience
Est. listeners per new episode within ~30 days
772K to 2.5M🎙 Biweekly cadence·86 episodes·Long inactive - Monthly Reach
Unique listeners across all episodes (30 days)
1.1M to 3.5M🇦🇺28%🇺🇸9%🇪🇸9%+37 more - Active Followers
Loyal subscribers who consistently listen
331K to 1.1M
Market Insights
Platform Distribution
Reach across major podcast platforms, updated hourly
Total Followers
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Total Plays
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Total Reviews
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* Data sourced directly from platform APIs and aggregated hourly across all major podcast directories.
On the show
Recent episodes
1.1 Why Program
Oct 1, 2016
12m 30s
1.2 Hardware Architecture
Oct 1, 2016
12m 15s
1.3 Python as a Language
Oct 1, 2016
7m 48s
1.4 What do we Say to Python?
Oct 1, 2016
12m 45s
Installing Python 3 on a Macintosh
Sep 30, 2016
4m 22s
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| Date | Episode | Description | Length | ||||||
|---|---|---|---|---|---|---|---|---|---|
| 10/1/16 | ![]() 1.1 Why Program | Explore the nature of programming and how programming a computer is different than using a computer. | 12m 30s | ||||||
| 10/1/16 | ![]() 1.2 Hardware Architecture | In this lecture we learn abut how the computer processes and stores programs. We learn about the CPU, Memory, Storage and Input / Output devices are brought together to write a program. | 12m 15s | ||||||
| 10/1/16 | ![]() 1.3 Python as a Language | We look at how writing programs is just another form of communication. Instead of communicating with another person, we are communicating our ideas to a computer. | 7m 48s | ||||||
| 10/1/16 | ![]() 1.4 What do we Say to Python? | We look at the basics of the Python language and how we write code in Python to communicate sequential steps, conditional steps and repeated steps. | 12m 45s | ||||||
| 9/30/16 | ![]() Installing Python 3 on a Macintosh | Installing Python 3 on a Macintosh | 4m 22s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Hello World | Code Walkthrough: Hello World | 5m 12s | ||||||
| 9/30/16 | ![]() 2.1 Building Blocks of Python | We look at Python's reserved words, how we name and use variables, why we choose meaningful (mnemonic) variable names and how assignment statements function. | 9m 41s | ||||||
| 9/30/16 | ![]() 2.2 Expressions | We look at how we use various numerical and string operations to compute new information and store the new values in variables. | 19m 53s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Exercise 2.2 | Code Walkthrough: Exercise 2.2 | 6m 11s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Exercise 2.3 | Code Walkthrough: Exercise 2.3 | 7m 48s | ||||||
Want analysis for the episodes below?Free for Pro Submit a request, we'll have your selected episodes analyzed within an hour. Free, at no cost to you, for Pro users. | |||||||||
| 9/30/16 | ![]() 3.1 If-Then-Else | The most basic conditional structure is the if statement where we either execute or skip a segment of code based on the results of a logical expression (i.e. asking a question). | 11m 06s | ||||||
| 9/30/16 | ![]() 3.2 More Conditional Statements | In this video we look at multi-branch if statements and the try-except concept where we can indicate a group of statements to be executed if something goes wrong with a block of statements. | 13m 51s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Exercise 3.1 | Code Walkthrough: Exercise 3.1 | 12m 06s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Exercise 3.2 | Code Walkthrough: Exercise 3.2 | 9m 25s | ||||||
| 9/30/16 | ![]() 4.1 Using Pre-Defined Functions | We look at how code flows into and out of functions as well has how we pass information into functions and get results returned to us. | 10m 29s | ||||||
| 9/30/16 | ![]() 4.2 Building our Own Functions | We look at how to build our own functions using parameters and arguments as well as how we return results to the code that is calling our functions. | 12m 35s | ||||||
| 9/30/16 | ![]() Code Walkthrough: Exercise 4.6 | Code Walkthrough: Exercise 4.6 | 10m 07s | ||||||
| 9/30/16 | ![]() 5.1 The Basics of Loops | We look at how we construct a loop so that it runs as long as we want it to run. We learn about iteration variables and exiting loops with the 'break' and 'continue' statements. | 9m 58s | ||||||
| 9/30/16 | ![]() 5.2 Definite Loops | We learn how to use the 'for' statement in Python to loop through a set of data. | 6m 51s | ||||||
| 9/30/16 | ![]() 5.3 Patterns for Making Loops | Loops have a beginning, middle, and end. We look ant how we construct a loop to look at a list of items one at a time so we can compute an overall maximum, minimum or average. | 8m 43s | ||||||
| 9/30/16 | ![]() 5.4 Loop Techniques | We continue to look at how to construct loops including how to do something special the first time through the loop. We introduce the idea of 'None' which is a way to indicate that a variable is currently empty. | 18m 47s | ||||||
| 9/30/16 | ![]() Worked Exercise: Exercise 5.1 | Worked Exercise: Exercise 5.1 | 8m 30s | ||||||
| 9/30/16 | ![]() 6.1 Storing Text Data in Strings | We learn how to create string variables and extract portions of the data as well as write simple loops to read through the characters in a string. | 10m 42s | ||||||
| 9/30/16 | ![]() 6.2 String Operations | We learn how to extract substrings using slicing, and use the string library to perform common data extraction operations with strings. | 18m 44s | ||||||
| 9/30/16 | ![]() Worked Example: Exercise 6.5 | Worked Example: Exercise 6.5 | 8m 26s | ||||||
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Chart Positions
43 placements across 40 markets.
Chart Positions
43 placements across 40 markets.
