Advanced Python for Beginners

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Samuel Ugoh

2:35:00

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1. Introduction

1. Introduction.mp4

04:44

2. Installing Python Compilers on your pc

1. Introduction to Python.mp4

04:44

2. Anaconda.mp4

04:58

3. Jupyter.mp4

05:32

3. Terms in Python

1. Data types in python.mp4

12:42

2. Operators in python.mp4

10:31

3. Conditionals.mp4

09:49

4. Loops.mp4

13:07

5. Lists, Tuples, Dictionaries and Sets.mp4

17:54

6. Data types and operators.mp4

11:21

7. Modules in python.mp4

05:15

8. Functions in python.mp4

08:05

9. Exercise.mp4

01:46

10. Exercise solution.mp4

10:46

4. Object Oriented Programming

1. Logic of OOP.mp4

04:58

2. Constructor.mp4

06:52

3. Methods.mp4

04:41

4. Inheritance.mp4

06:42

5. Overriding and Overloading.mp4

10:33

Description

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

Who is this for?

Beginner python developers

Legends ready for a change

More details

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 doesnâ€™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. Weâ€™ll go over:
The fundamentals of Python programming
Writing and Reading to Files
Automation of Word and Excel Files
Web scraping with BeautifulSoup4
Browser automation with Selenium
Data Analysis and Visualization with MatPlotLib
Regex parsing and Task Management
GUI and Gaming with Tkinter
And 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!
Goals
This course will cover all the basics and several advanced concepts of Python. Weâ€™ll go over:
The fundamentals of Python programming
Writing and Reading to Files
Automation of Word and Excel Files
Web scraping with BeautifulSoup4
Browser automation with Selenium
Data Analysis and Visualization with MatPlotLib
Regex parsing and Task Management
GUI and Gaming with Tkinter
And 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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I am a networker, Cybersecurity Engineer and azure Architect.i have the following certificates;1. CCENT2. CYBEROPS3. CEH4, MS-5005. AZURE6. A+I also serve as an instructor to many people in the world who would want to dive in the the area of Networking , cybersecurity and ethical hacking.All my certificates through hard work comes with a merit letter especially from cisco.

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