Python Development: Getting Started with Programming in Python
Python
| Beginner
- 13 videos | 1h 28m 39s
- Includes Assessment
- Earns a Badge
Python is a beneficial language for use in a lot of development projects, particularly Java/C++ development. In this course, you'll learn the basics of Python programming. You'll start by installing Python on your local machine and practice writing code using the Python shell. Next, you'll perform basic math and logical operations in Python. You'll create Python variables and see how you can assign and access values stored in these variables. You'll then use built-in functions, which are part of the core Python programming language, to perform simple calculations and operations. Finally, you'll explore strings in Python work, creating strings using single, double, and triple quotes depending on the use case. You'll then briefly examine the use of complex data types, such as lists, tuples, sets, and dictionaries. When you're finished with this course, you'll be able to execute simple Python commands on Jupiter notebooks.
WHAT YOU WILL LEARN
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Discover the key concepts covered in this courseInstall anaconda python on windowsInstall anaconda python on macosExecute commands on the python shellPerform basic math operationsExecute arithmetic operations on variablesWork with built-in functions
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Use the different kinds of primitive data types, such as strings, numbers, and booleansCreate and use complex data types, such as lists, tuples, and setsPerform type conversionsUse single, double, and triple quotes to create stringsPerform escaping and formatting of stringsSummarize the key concepts covered in this course
IN THIS COURSE
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2m 3sIn this video, you’ll learn more about the instructor and the course. In this course, you’ll learn how to install Python on your local machine. You’ll then learn to write code using the Python shell and launch your first Jupyter Notebook. You’ll discover how to perform basic math and logical operations in Python, create Python variables, assign values to them, and access those values. You’ll also learn to use built-in functions of Python programming language. FREE ACCESS
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6m 17sIn this video, you’ll explore Python from a Windows command prompt. You’ll learn how to install Python, but first, you’ll learn how to search for and download the Anaconda installer. FREE ACCESS
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4m 4sIn this video, you’ll repeat the process from the last video, but with Mac. You’ll explore Python from a macOS command prompt. You’ll learn how to install Python, but first, you’ll learn how to search for and download the Anaconda installer. FREE ACCESS
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4m 31sIn this video, you’ll follow a demo. You’ll learn how to run Python from the command line. You’ll learn keyboard shortcuts as well as simple commands in Python. You’ll also learn how to run Python from a Jupyter Notebook. You’ll learn to use the Jupyter --version command to ensure you have the correct versions of all the required Jupyter libraries. Finally, you’ll run the Jupyter notebook command. FREE ACCESS
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10m 11sIn this video, you’ll follow a demo. You’ll start a new notebook and learn some basic Python constructs. First, you’ll learn how to change the title of your new notebook. You’ll learn that all commands in a Jupyter Notebook are executed by typing them into a cell and hitting Ctrl+Enter. You’ll then add new cells into your Jupyter Notebook. FREE ACCESS
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10m 37sIn this video, you’ll follow a demo. In this demo, you’ll work with the = sign. You’ll learn how to use the chaining of the assignment operator. You’ll see that the assignment operator can be chained just as it can be in other languages such as Java or C++. You’ll also make use of the single = operator for assignment. You’ll also test for equality, making use of the == operator. FREE ACCESS
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12m 32sIn this video, you’ll follow a demo. In this demo, you’ll learn the use of built-in functions. You’ll first learn to insert Markdown by using basic formatting. You’ll discover built-in functions are part of the core Python programming language. You’ll find these functions don’t require any special import statements and they are available for use right out of the box. FREE ACCESS
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7m 14sIn this video, you’ll learn more about the data types in Python. You’ll begin by defining a string variable called some_string assigning a string into it, and then invoking the type built-in function on it. You’ll find that the result is str, which is the type function that tells you the type of the variable some_string is string. Then you’ll see what happens when you invoke the print function on the type function. FREE ACCESS
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8m 9sIn this video, you’ll learn to create lists in Python. You’ll learn that lists have sequential containers that can change in size. You’ll watch a demo that defines simple lists. FREE ACCESS
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5m 21sIn this video, you’ll watch a demo. In this demo, you’ll learn about dictionaries, a powerful and important type in Python. Dictionaries are an associative data type. You’ll discover they are used to map from keys to values. Dictionaries in Python correspond to maps in Java. You will follow the demo to define and test a type of dictionary. FREE ACCESS
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10m 31sIn this video, you’ll watch a demo. In this demo, you’ll focus on strings in Python. You’ll follow long onscreen as a string variable is defined. You’ll find Python allows you to define strings using single quotes. You’ll learn you can use single or double quotes to define your strings, as there is no real difference. You’ll discover these quotes in Python are interchangeable. FREE ACCESS
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5m 1sIn this video, you’ll watch a demo. In this demo, you’ll learn more about the use of Windows-style paths. You’ll learn these contain \\ as a file separator, called escape backlashes. You’ll also discover you can quickly embed special characters such as tabs. You’ll learn to create nicely formatted strings using curly braces. You’ll also learn to create placeholders and use the .format method. FREE ACCESS
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2m 11sIn this video, you’ll review what you’ve learned in the course. You’ve learned to install Anaconda and Python on Microsoft Windows as well as on the Mac platform. You ran Python from the command line using the interactive shell environment and also created a new Jupyter Notebook. You also learned about how we could perform logical operations in Python, ran simple lines of code, and look at variables in Python. FREE ACCESS
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