Published 4/2023
Created by Samuel Ugoh
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 19 Lectures ( 2h 35m ) | Size: 624 MB
The road to python mastery
What you’ll learn
To understand why Python is a useful scripting language for developers.
To learn how to use exception handling in Python applications for error handling
To learn how to build and package Python modules for reusability.
To define the structure and components of a Python program
To learn how to use indexing and slicing to access data in Python programs
To learn how to use lists, tuples, and dictionaries in Python programs.
identification
Requirements
No programming experience needed
Description
Python has rapidly become one of the most popular programming languages around the world. Compared to other languages such as Java or C++, Python consistently outranks and outperforms these languages in demand from businesses and job availability. The average Python developer makes over $100,000 – this number is only going to grow in the coming years.The best part? Python is one of the easiest coding languages to learn right now. It doesn’t matter if you have no programming experience or are unfamiliar with the syntax of Python. By the time you finish this course, you’ll be an absolute pro at programming!This course will cover all the basics and several advanced concepts of Python. We’ll go over:The fundamentals of Python programmingWriting and Reading to FilesAutomation of Word and Excel FilesWeb scraping with BeautifulSoup4Browser automation with SeleniumData Analysis and Visualization with MatPlotLibRegex parsing and Task ManagementGUI and Gaming with TkinterAnd much more!You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!By the end of this course you will:- Have an understanding of how to program in Python.- Know how to create and manipulate arrays using numpy and Python.- Know how to use pandas to create and analyze data sets.- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.- Have an amazing portfolio of example python data analysis projects!- Have an understanding of Machine Learning and SciKit Learn!GoalsThis course will cover all the basics and several advanced concepts of Python. We’ll go over:The fundamentals of Python programmingWriting and Reading to FilesAutomation of Word and Excel FilesWeb scraping with BeautifulSoup4Browser automation with SeleniumData Analysis and Visualization with MatPlotLibRegex parsing and Task ManagementGUI and Gaming with TkinterAnd much more!You’ll get a full understanding of how to program with Python and how to use it in conjunction with scientific computing modules and libraries to analyze data.You will also get lifetime access to over 100 example python code notebooks, new and updated videos, as well as future additions of various data analysis projects that you can use for a portfolio to show future employers!By the end of this course you will:- Have an understanding of how to program in Python.- Know how to create and manipulate arrays using numpy and Python.- Know how to use pandas to create and analyze data sets.- Know how to use matplotlib and seaborn libraries to create beautiful data visualization.- Have an amazing portfolio of example python data analysis projects!- Have an understanding of Machine Learning and SciKit Learn!
Who this course is for
Beginner python developers
Legends ready for a change
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