| Downloaded from 1337x.html | 512 B | ||
| [1] Fetching internet data.mp4 | 8.4 MB | ||
| [1] Installing Python.mp4 | 5.5 MB | ||
| [1] Learning Python.mp4 | 23.7 MB | ||
| [1] Next steps.mp4 | 2.7 MB | ||
| [1] Reading and writing files.mp4 | 13.9 MB | ||
| [1] The date, time, and datetime classes.mp4 | 18 MB | ||
| [1] Your first Python program.mp4 | 19.9 MB | ||
| [2] Formatting time output.mp4 | 15.7 MB | ||
| [2] How to run the Python examples.mp4 | 4.6 MB | ||
| [2] Running Python from VS Code.mp4 | 12 MB | ||
| [2] What you should know.mp4 | 1.8 MB | ||
| [2] Working with JSON data.mp4 | 34.7 MB | ||
| [2] Working with OS path utilities.mp4 | 22 MB | ||
| [3] Exercise files.mp4 | 1.9 MB | ||
| [3] Installing VS Code.mp4 | 20.4 MB | ||
| [3] Parsing and processing HTML.mp4 | 31.7 MB | ||
| [3] Using file system shell methods.mp4 | 24.9 MB | ||
| [3] Using timedelta objects.mp4 | 23.1 MB | ||
| [3] Variables and expressions.mp4 | 15.3 MB | ||
| [4] Manipulating XML.mp4 | 15.8 MB | ||
| [4] Python functions.mp4 | 22.3 MB | ||
| [4] Working with calendars.mp4 | 26.8 MB | ||
| [5] Conditional structures.mp4 | 13.1 MB | ||
| [6] Loops.mp4 | 19.4 MB | ||
| [7] Classes.mp4 | 16.2 MB | ||
| [8] Importing and using modules.mp4 | 10.8 MB | ||
| calendars_finished.py | 1.4 KB | ||
| calendars_start.py | 614.4 B | ||
| classes_finished.py | 512 B | ||
| classes_start.py | 102.4 B | ||
| conditionals_finished.py | 614.4 B | ||
| conditionals_start.py | 204.8 B | ||
| dates_finished.py | 921.6 B | ||
| dates_start.py | 409.6 B | ||
| files_finished.py | 819.2 B | ||
| files_start.py | 409.6 B | ||
| formatting_finished.py | 1 KB | ||
| formatting_start.py | 512 B | ||
| functions_finished.py | 716.8 B | ||
| functions_start.py | 204.8 B | ||
| helloworld_finished.py | 204.8 B | ||
| helloworld_start.py | 0 B | ||
| htmlparsing_finished.py | 1.8 KB | ||
| htmlparsing_start.py | 204.8 B | ||
| inetdata_finished.py | 409.6 B | ||
| inetdata_start.py | 102.4 B | ||
| jsondata_finished.py | 2.1 KB | ||
| jsondata_start.py | 1 KB | ||
| loops_finished.py | 614.4 B | ||
| loops_start.py | 307.2 B | ||
| modules_finished.py | 307.2 B | ||
| modules_start.py | 307.2 B | ||
| ospathutils_finished.py | 1.1 KB | ||
| ospathutils_start.py | 409.6 B | ||
| samplehtml.html | 921.6 B | ||
| samplexml.xml | 204.8 B | ||
| shell_finished.py | 1 KB | ||
| shell_start.py | 512 B | ||
| textfile.txt | 204.8 B | ||
| timedeltas_finished.py | 1.4 KB | ||
| timedeltas_start.py | 614.4 B | ||
| variables_finished.py | 409.6 B | ||
| variables_start.py | 204.8 B | ||
| xmlparsing_finished.py | 921.6 B | ||
| xmlparsing_start.py | 409.6 B | ||
| ▲ 66 total files | |||
Knowledge should not be limited to those who can afford it or those willing to pay for it.
If you found this course useful and are financially stable please consider supporting the creators by buying the course :)
Learning Python
Python—the popular and highly readable object-oriented language—is both powerful and relatively easy to learn. Whether you're new to programming or an experienced developer, this course can help you get started with Python. Joe Marini provides an overview of the installation process, basic Python syntax, and an example of how to construct and run a simple Python program. Learn to work with dates and times, read and write files, and retrieve and parse HTML, JSON, and XML data from the web.
Learning Python
“- [Instructor] The Python programming language has become one of the most popular languages in the world. And it's not hard to see why this has happened. Python has an easy to learn structure, it runs on multiple operating systems, both in the client and the cloud, and has a vast ecosystem of tools and libraries that address a large number of programming scenarios. Hi, I'm Joe Marini, and I've been building software professionally for some of the biggest companies in Silicon Valley for more than 30 years. In this course, you will get a hands-on introduction to the programming language. We'll start by seeing how to determine if Python is installed on your system and how to install it if it isn't already there. Next, we'll examine the basics of the language. Variables, loops, functions, classes and more. We'll also see how to build our first Python program in just a few lines of code. Then we'll move on to working with some of Python's built in high level data types such as dates, times, and files. And finally, we'll wrap up by taking advantage of Python's extensive library of pre-built modules to build advanced features like retrieving data from the internet and processing information such as HTML, XML, and JSON. If you're ready to start building the next generation of cross-platform applications that run on the client as well as the cloud, then let's get started learning Python.
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