Description
Python Programmer, a Python programming course published by Datacamp Academy. Gain the skills to successfully develop software, collect data, perform advanced data analysis, and become a Python developer. No previous coding experience is required; You can start your journey to become a Python developer today. In this track, you will learn how to manipulate data, write efficient Python code, and work with challenging data including date and time data, text data, and web data using APIs.
As your skills increase, you’ll start writing Python functions and unit testing. An essential skill needed to find bugs in your code before your users do. Through interactive exercises, you will also gain hands-on experience with powerful Python libraries including NumPy, pytest, and pycodestyle, which will help you perform key developer tasks such as web development, data analysis, and task automation. By the time you finish this track, you’ll have a solid understanding of what it takes to become a Python developer and the skills you need to get started as a developer.
What you will learn
- Introduction to Python
- Python Data Science Toolbox
- Data Types for Data Science in Python
- Write efficient Python code
- Regular Expressions in Python
- Web scripting in Python
- Writing a function in Python
- An introduction to the shell
- Introduction to Git
- Software engineering for data scientists in Python
- Development of Python packages
- Data science unit test in Python
- Object oriented programming in Python
Python Programmer course specifications
- Publisher: Datacamp
- teacher : George Boorman , Richie Cotton
- English language
- Education level: all levels
- Number of courses: 17
- Training duration: 67 hours and 0 minutes
Chapters of the Python Programmer course
Pictures
Sample video
Installation guide
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English subtitle
Quality: 720p
This skill consists of 17 courses.
download link
Introduction to Python
Download – 150 MB
Intermediate Python
Download – 218 MB
Data manipulation with 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 Efficient Python Code
Download – 91 MB
Working with Dates and Times in Python
Download – 69 MB
Regular 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
Unit Testing for Data Science in Python
Download – 99 MB
Object-Oriented Programming in Python
File(s) password: www.downloadly.ir
Size
1.45 GB
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