
Python
Andy Vickler
Are you thinking about learning how to use the Python programming language? Thinking about getting started on a programming career?
Python is one of the easiest computer programming languages to learn and use, with simple syntax and easy rules to...
Location:
United States
Description:
Are you thinking about learning how to use the Python programming language? Thinking about getting started on a programming career? Python is one of the easiest computer programming languages to learn and use, with simple syntax and easy rules to follow. While it is aimed at beginners to Python coding, this audiobook can also be used as a reference for those with a little more experience who want to brush up on their skills. Once you have mastered this guide, you can move seamlessly onto more experienced topics but I cannot stress enough the importance of practicing the codes regularly. Python is a language that offers an approachable syntax and great readability. The language resembles English, is simple when compared to other languages and is easier for people to learn. With only a little time, you can write simple programs. Are you thinking about learning data science? Do you know how to code in Python and want to take your learning further? Then you've come to the right place. Data is more available today than it ever has been and in much larger quantities than ever before. And it's only set to increase. Because of that, we need to evolve in how we process data, and that's where data science comes in. But let's not forget machine learning, a subset of data science that offers us ways of examining and analyzing data to draw meaningful insights. Machine learning and data science are our future, and if you choose not to go down the route of learning it to an expert level, you should at least understand how it all works. Python is the most popular computer programming language and by far the best for data science and machine learning. An intuitive language, it offers all the tools needed to analyze data, manipulate it, produce visualizations, and so much more. Don't slip behind. Data science is the future so embark on a journey you will never regret. Duration - 12h 52m. Author - Andy Vickler. Narrator - Helpful Matthew. Published Date - Thursday, 04 January 2024. Copyright - © 2021 Andy Vickler ©.
Language:
English
Opening Credits
Duration:00:00:19
Opening credits for python basics for beginners
Duration:00:00:10
Introduction
Duration:00:02:39
Chapter 1: A brief history of python
Duration:00:23:14
Chapter 2: Python datatypes
Duration:00:33:18
Chapter 3: Python lists
Duration:00:53:00
Chapter 4: Python tuples
Duration:00:11:08
Chapter 5: Python conditionals
Duration:00:36:31
Chapter 6: Python dictionaries
Duration:00:38:11
Chapter 7: User input & while loops
Duration:00:25:27
Chapter 8: Python functions
Duration:00:14:09
Chapter 9: Classes
Duration:00:04:56
Conclusion
Duration:00:01:38
Closing credits for python basics for beginners
Duration:00:00:17
Opening credits for python automation techniques and web scraping
Duration:00:00:10
Chapter 1: An introduction to python
Duration:00:12:57
Chapter 2: Data types and variables
Duration:00:10:22
Chapter 3: Data structures
Duration:00:11:42
Chapter 4: Working with strings
Duration:00:09:36
Chapter 5: Conditional statements
Duration:00:21:12
Chapter 6: How to use files
Duration:00:02:55
Chapter 7: Working with functions
Duration:00:17:54
Chapter 8: Web scraping using python
Duration:00:17:54
Chapter 9: Tasks to automate using python
Duration:00:06:03
Chapter 10: Cleaning data using python
Duration:01:21:20
Chapter 11: Mistakes made by programmers
Duration:00:19:57
Chapter 12: Solutions
Duration:00:08:31
Closing credits for python automation techniques and web scraping
Duration:00:00:17
Opening credits for python for data science and machine learning
Duration:00:00:10
Part 1: An introduction to data science and machine learning
Duration:00:18:27
Part 2: Introducing num py
Duration:00:53:22
Part 3: Data manipulation with pandas
Duration:00:52:15
Part 4: Data visualization with matplotlib and seaborn
Duration:00:18:47
Part 5: An in depth guide to machine learning
Duration:01:27:28
Part 5: Continuation
Duration:01:01:45
Closing credits for python for data science and machine learning
Duration:00:00:16
Ending Credits
Duration:00:00:23