Global Nerdy

The TL;DR

Here’s a quick summary of the course:

• What: An introductory Python course! I’m teaching it on behalf of Computer Coach, a Tampa-based training company and friends of mine.
• Where: Online, via Zoom.
• When: Monday and Wednesday evenings, from 6 p.m. to 10 p.m., starting this Wednesday, September 7th.
• How to enroll or find out more: Contact Computer Coach’s Kasandra Perez at kasandra@computercoach.com or (813)-254-6459 to find out more about the course or register.

You’ll need the following to participate in the course:

• A computer that was made sometime in the last 12 years. be doing demonstrations on a 2020 Acer Nitro V laptop that I got for a few hundred bucks on Facebook Marketplace, and a $35 Raspberry Pi.
• Zoom and an internet connection. I’ll be teaching the course via Zoom — this is an online course — and we’ll also visit some web sites and download some software during the course.

The state of Python

All you have to do is look at the current developer surveys and tech news headlines to know that right now, Python is having its “moment”:

• Application Developer Trends, August 24 2022: Survey Says: ‘Python Going Through the Roof’
• In the annual survey run by the top developer questions-and-answers online forum, Stack Overflow, Python was tied in first place for the “Most Wanted” category and in the top 10 for the “Loved vs. Dreaded” category under programming languages.
• Gearrice.com, August 25, 2022: Python still reigns supreme as a programming language, with C close behind. And SQL is becoming more and more useful to find work
• As of August 2022, Python is the #1 language in the TIOBE Index, a monthly ranking of programming language popularity based on search engine results.
• InfoWorld, August 8, 2022: Python popularity still soaring
• Developer research company Slashdata’s 22nd State of the Developer Nation report puts Python as the second-most popular programming language behind JavaScript, having added 3.3 million net new developers in late 2021/early 2022.
• TechRepublic, August 25, 2022: Python continues its streak as the IEEE’s lead programming language for 2022

CodingNomads, a coding school in California, looked at thousands of job postings in North America and Europe and declared Python as the most in-demand coding language for 2022.

As for salaries…

…you can say that the pay is decent. Pair Python with another tech skill (for instance, JavaScript) or a people skill (say, managing developers), and you can make even more.

The schedule

This is the course schedule for Learn Python. It’s flexible — if there’s a need spend more time on a specific topic, we’ll do that. The point isn’t to cover every topic on the list; it’s to give you the necessary grounding in Python and programming to continue after the course is over!

Sessions will take place via Zoom, which means that you can take the course from wherever you happen to be. There will be ten sessions, and each will run from 6:00 p.m. to 10:00 p.m., with ten-minute breaks at the end of the first, second, and third hour.

• Day 1 : Hello, Python!
  Wednesday, September 7, 6:00 p.m. – 10 p.m.
  • Setting up the programming environment
  • Introducing Jupyter Notebook
  • Variables and simple data types
  • Programming in sequence
• Day 2: Algorithms aren’t just for Facebook
  Monday, September 12, 6:00 p.m. – 10 p.m.
  • Branching (a.k.a. “If” / “elif” / “else”)
  • Lists
  • Looping
• Day 3: Organizing data and code, and listening to the user
  Wednesday, September 14, 6:00 p.m. – 10 p.m.
  • Dictionaries
  • Functions
  • Getting input from the user
• Day 4: Getting serious
  Monday, September 19, 6:00 p.m. – 10 p.m.
  • Object-oriented programming
  • Working with files
  • Handling exceptions
• Day 5: When the going gets weird, the weird turn pro
  Wednesday, September 21, 6:00 p.m. – 10 p.m.
  • Running Python programs from the command line
  • Importing Python modules
  • Organizing files
• Day 6: The web and data
  Monday, September 26, 6:00 p.m. – 10 p.m.
  • Web programming with Flask
  • SQLite: The database built into Python
• Day 7: Just enough data science to be dangerous
  Wednesday, September 28, 6:00 p.m. – 10 p.m.
  • Introduction to data science and Python’s data science libraries
• Days 8 – 9: Using your Python powers for good
  Monday, October 3, 6:00 p.m. – 10 p.m.
  Wednesday, October 5, 6:00 p.m. – 10 p.m.
  • Using Python to handle all sorts of programming tasks, which could include:
  • Building the scripts that generate the Tampa Bay Tech Events list
  • Automating email and spreadsheets
  • Building a weather app
• Day 10: Just the beginning
  Monday, October 10, 6:00 p.m. – 10 p.m.
  • Review of everything covered
  • What you should cover next
  • Programming interview questions

What happens in the course?

This is not a passive course! This isn’t the kind of course where the instructor lectures over slides while you take notes (or pretend to take notes while surfing the web or checking your social media feeds). In this course, you’ll follow along as I write code on my screen. You’ll actively take part in the learning process, entering code, experimenting, making mistakes, correcting those mistakes, and producing working applications. You will learn by doing. At the end of each session, you’ll have a collection of little Python programs that you wrote, and which you can use as the basis for your own work.

The course will start at the most basic level by walking you through the process of downloading and installing the necessary tools to start Python programming. From there, you’ll learn the building blocks of the Python programming language:

• Control structures that determine what your programs do,
• Data structures to store the information that your programs act on,
• Functions and objects to organize your code, and
• Using libraries as building blocks for your applications.

Better still, you’ll learn how to think like a programmer. You’ll learn how to look at a goal and learn how you could write a program to meet it, and how that program could be improved or enhanced. You’ll learn skills that will serve you well as you take up other programming languages, and even learn a little bit about the inner workings of computers, operating systems, and the internet.

What kind of apps will you build?

We’ll build as many applications as we can, based on your suggestions or needs. These include (and aren’t limited to):

• CoverTron: My generator for cover letters for job applications. I actually used it in my last job search!
• Tampa Bay Tech Events Transmogrifier: Every week, I put together a list of tech events for Tampa Bay, culled from Eventbrite and Meetup. It would take me hours to do it by hand, but it’s so much quicker with the automated help of a couple of Python scripts.
• Find out when and where a digital photo was taken: When you take a picture with your phone or a present-day digital camera, that picture has EXIF data embedded in it, with the date, time, and location where the photo was taken. I’ll show you how to extract that info!
• Editing photos: If you were assigned the task of shrinking a set of 100 photos by 25% (or any other similar basic photo editing task), you could do it manually, or you could make Python do it.
• Creating interactive documents with Jupyter Notebook: It’s more than just a Python tool used by data scientists, Nobel Prize winners, and Netflix, but a useful programming environment and operations platform for everyday tasks!
• Writing web applications with Flask: Just as Python makes programming much easier, the Python-powered Flask framework makes programming web applications much easier.
• Passing interview coding tests: Learn how to deal with the most dreaded part of the interview for a programming job, and why Python is a key part of my coding interview strategy.
• Using databases: Using databases is a key part of programming, and luckily, Python comes with a built-in database!
• Data science: This is a giant topic and could easily take up the time to do this course three times, but I’d be happy to go over the basics.
• Interactive storytelling and games: Python’s quite good at this, and I can walk you through the PyGame framework and Ren’Py interactive story system.
• Mobile app development: Yes, there are ways to do mobile app development in Python.

How do you sign up for the course or find out more?

Once again, you’ll want to contact Computer Coach’s Kasandra Perez at Contact Kasandra Perez at kasandra@computercoach.com or (813)-254-6459 to find out more about the course or register.

One of the more ridiculous aspects of the S-1 Form that WeWork filed during their first attempt at an IPO was the fact that the name “Adam” (WeWork’s founder / personality behind the cult Adam Neumann) gets mentioned in it a ludicrous number of times. It’s not unusual for an S-1 Form to mention the founder’s name a couple dozen times, but nowhere near as many times as WeWork’s original S-1 did.

You could go through WeWork’s S-1 and count the number of times “Adam” appears in its text. You could load WeWork’s S-1 into a text editor and have it give you that number. But what if you had to do that for a dozen, or a hundred, or a thousand companies and create a list of the number of times each company’s founder was mentioned in its S-1? You will write a Python script to do just that in my upcoming course.

I’ll guide you through the process of writing that script and running it on not just the text of WeWork’s S-1, but also for other hot tech companies, such as Zoom, Uber, Lyft, and Slack.

It’s just one of the practical things I’ll cover in the Learn Python online course being offered by Computer Coach. Here are the quick details:

• What: An introductory Python course!
• Where: Online, via Zoom.
• When: Monday and Wednesday evenings, from 6 p.m. to 10 p.m., starting Wednesday, September 7th.
• How to enroll or find out more: Contact Computer Coach’s Kasandra Perez at kasandra@computercoach.com or (813)-254-6459 to find out more about the course or register.

For more details, see this post: I’m teaching another 5-week / 10-evening Python course starting September 7th!