January 30th, 2020 · 8 min read
2nd issue! That's right, you're right at the beginning of this journey! If there is enough interest, I will keep doing these every month so please share it with your friends!
Being a Python developer is a fantastic career option. Python is now the most popular language with lots of growing job demand (especially in Web, Data Science and Machine Learning field). You have many job opportunities, you can work around the world, and you get to solve hard problems. One thing that is hard, however, is staying up to date with the constantly evolving ecosystem. You want to be a top performing python developer, coder, programmer, software developer, but you don’t have time to select from hundreds of articles, videos and podcasts each day.
This monthly newsletter is focused on keeping you up to date with the industry, keeping your skills sharp, without wasting your valuable time. I will be sharing the most important articles, podcasts and videos of the month. Think Tim Ferriss and the Pareto Principle (80/20 rule) meeting the Software Development world. What’s the 20% that will get you 80% of the results?
A great writeup of all the ways you can time, measure and monitor your code in Python. It goes from the basics all the way to advanced. You probably don't need to know all of them though.
Unlike the standard WSGI, ASGI, the Asynchronous Standard Gateway Interface is starting to pick up steam in the industry as it promises to bring asynchronous execution like Node.js and Go allow for backend services. You can read about the development of this space here.
Want to learn Data Science and Machine Learning? Well, lucky for you, I just released a course with my friend Daniel. It's pretty good if I say so myself. Also, don't judge me for self promoting in this newsletter. How else am I going to afford the new LEGO international space station?
A visual guide to how Python Dictionaries work. It's one of the most fundamental data structure in Python (and many other languages) so understanding how to use their full power is a must.
Performance talk in front of any programmer is like catnip for a cat. You immediately want to hear more right? Well, here is another great article discussing performance in Python.
The popular library for Data Science (and working with data frames), Pandas, has released version 1.0.0!
Python web scraper that scrapes job listings around the web and filters based on whatever criteria you want. Automate your job applications!
Fully featured HTTP library for Python3: HTTPX.
CleverCSV is a Python package for handling messy CSV files.
JetBrains just released a free font specifically for programmers.
Copying data is wasteful and uses up the limited memory that you have on a device. Mutating data is dangerous and can lead to weird bugs. So can you avoid these things? Not entirely, but there are ways around minimizing some of these issues. Read here to learn how.
Speaking of copying data, do you know what happens when you have too much data to fit in memory?
Have no idea what any of the above terms mean? Or maybe you know what iterators and generators are, but have only vaguely heard of coroutines? This article will teach you all three and how they are related.
A full walkthrough of Django 3 and how to build a CRUD app with MySQL and Bootstrap. I'm personally a bigger fan of Flask and PostgreSQL but hey, everyone has their own preference!
How does Django actually work with the browser? If you've ever wondered that, here is your answer.
Passing a function as an argument to another function in Python is a crucial ability in having a functional programming paradigm. What does it all mean though? This article shows you the power of that statement.
Python environments is a tough topic because there are so many options out there. When you are starting out, it is hard to know what is available, and when to use what. This article will give you a complete rundown of everything that is available and what the pros and cons are.
Now that you know about environments, this is how you can install packages in Python.
Did you know you can do concurrency in Python? This article will show you how to get started and show people how cool you are.
What does it mean when someone says that the code is not Pythonic? Well this article shows you how to do a Pythonic code review.
Ever wondered how you can create a moon animation using NASA images and Python just in a few lines of code? Well, wonder no more.
What is good code? What is a good program? This article is able to give you not only code specific advice, but also practical advice for thinking about your programs and software. Highly recommend reading it and taking notes.
While we are at it, here are 30 Python tips/tricks/advices.
Build real time object detection to add to your portfolio!
See you next month!
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By the way, my full time job is to teach people to code in the most efficient way possible as the Lead Instructor of Zero To Mastery Academy. You can see a few of my courses below or see all of my courses by visiting the courses page.