Explanation
Python Programmer, Get the career-building skills you need to successfully develop software, analyze data, perform advanced data analysis, and become a Python programmer. No previous coding experience is required; You can start your journey to become a Python programmer today. In this course, you will learn how to manipulate data, write efficient Python code, and work with complex data, including date and time data, text data, and web data using APIs.
As your skills grow, you’ll move on to writing Python functions and unit testing—an essential skill needed to find bugs in your code before your users do. In the interactive exercises, you will also gain experience working with powerful Python libraries, including NumPy, pytest, and pycodestyle, which will help you perform important programming tasks such as web development, data analysis, and instrumentation. the task. By the time you’ve completed this track, you’ll have a solid understanding of what it takes to become a Python programmer and have the skills to get started as one.
What will you learn?
- Introduction to Python
- Applying data to pandas
- Python Data Science Toolbox
- Data Types for Data Science in Python
- Writing Effective Python Code
- Working with Dates and Times in Python
- Constant Expressions in Python
- Web scraping in Python
- Writing Functions in Python
- Introduction to Shell
- Introduction to Git
- Software Engineering for Data Scientists in Python
- Developing Python Packages
- Python Data Science Unit Exam
- Object-oriented programming in Python
Python Programmer’s Guide
The essence of the Python Programmer
Pictures
Sample Clip
Installation Guide
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Subtitle : English
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Download Links
Introduction to Python
Download – 150 MB
Python neutral
Download – 218 MB
Applying data to pandas
Download – 84 MB
Python Data Science Toolbox (Part 1)
Download – 88 MB
Python Data Science Toolbox (Part 2)
Download – 75 MB
Data Types for Data Science in Python
Download – 42 MB
Writing Effective Python Code
Download – 91 MB
Working with Dates and Times in Python
Download – 69 MB
Constant Expressions in Python
Download – 87 MB
Web scraping in Python
Download – 81 MB
Writing Functions in Python
Download – 65 MB
Introduction to Shell
Download – 63 KB
Introduction to Git
Download – 124 MB
Software Engineering for Data Scientists in Python
Download – 70 MB
Developing Python Packages
Download – 68 MB
Python Data Science Unit Exam
Download – 99 MB
Object-oriented programming in Python
Download – 70 MB
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file size
1.45GB