This course is designed to explore how to execute Python locally and organize and use code across different Python files. Learners will learn how to read and write different types of files, use subprocesses and input streams, create Bash scripts, and use regular expressions. This course also covers automatic testing and explains how to set up a developer environment on a personal machine.
We’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allows us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports. We’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.
In this module, you’ll learn about the different types of operating systems, and how you can get your python code ready to interact with the operating system. We’ll learn about getting your environment set up and installing additional Python modules that will help you along the way. We’ll rundown i…
In this module, you’ll learn about reading and writing to files and the commands that will enable you to do this. We’ll learn the importance of managing files and how we can navigate through different directories. You’ll understand how to work with files and how there is a layer of abstraction betw…
In this module, you’ll learn about what a regular expression is and why you would use one. We’ll dive into the basics of regular expressions and give examples of wildcards, repetition qualifiers, escapare characters, and more. Next up, we’ll explore advanced regular expressions and deep dive on rep…
In this module, you’ll learn about reading and writing to data files based on an interaction with the user. Along the way, we’ll dive into standard streams, environment variables, and command line arguments. Next, we’ll jump into Python subprocesses, including system commands and how they can be us…
In this module, you’ll learn how to create tests in Python. We’ll cover what testing is all about and dive into the differences between manual versus automated testing. Next, we’ll explore what unit tests are intended to do and how to write them. Then, we’ll learn about other test concepts like bla…
In this module, you’ll be exposed to what the Linux OS has to offer and you'll learn about Bash scripting. We’ll go over basic Linux commands and explore the many processes Linux has to offer, including a key concept called redirection. We’ll then deep dive into creating Bash scripts using variable…
In this module, you’ll put everything you’ve learned so far into action! You’ll apply your scripting knowledge to tackle a challenging final project: writing a script that scans for a specific error in the log files. You'll create a problem statement to understand the challenge, conduct some resear…
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Google is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (88/100). They build what they teach.
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
This course is designed to provide students with a comprehensive understanding of language models by walking them through the entire process of developing their own. Drawing inspiration from operating systems courses that create an entire operating system from scratch, we will lead students through…
Harvard University · edX
An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.
Harvard University · edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Harvard University · edX
This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.
Stanford University · edX
This course is one of five self-paced courses on the topic of Databases, originating as one of Stanford's three inaugural massive open online courses released in the fall of 2011. The original "Databases" courses are now all available on edx.org. This course provides an introduction to relational d…
