Extensive Python Fundamentals in 4 Weeks

Extensive Python Fundamentals in 4 Weeks, available at $69.99, has an average rating of 4.21, with 136 lectures, based on 74 reviews, and has 2298 subscribers.

You will learn about Gain Complete understanding of Python from the ground up! Learn how to Leverage the power of python to solve problem Learn to use Object Oriented Programming in Python with use cases Learn and understand Complex Topics Like Decorators, Magic Module etc Learn how to start projects in Python and put pieces together Learn Python Fundamentals from the Zero to Mastery This course is ideal for individuals who are Beginner, a novice who wants to dive into Python and become a professional in no time It is particularly useful for Beginner, a novice who wants to dive into Python and become a professional in no time.

Enroll now: Extensive Python Fundamentals in 4 Weeks

Summary

Title: Extensive Python Fundamentals in 4 Weeks

Price: $69.99

Average Rating: 4.21

Number of Lectures: 136

Number of Published Lectures: 136

Number of Curriculum Items: 136

Number of Published Curriculum Objects: 136

Original Price: R439.99

Quality Status: approved

Status: Live

What You Will Learn

Gain Complete understanding of Python from the ground up!
Learn how to Leverage the power of python to solve problem
Learn to use Object Oriented Programming in Python with use cases
Learn and understand Complex Topics Like Decorators, Magic Module etc
Learn how to start projects in Python and put pieces together
Learn Python Fundamentals from the Zero to Mastery

Who Should Attend

Beginner, a novice who wants to dive into Python and become a professional in no time

Target Audiences

Beginner, a novice who wants to dive into Python and become a professional in no time

This training provides students with Fundamentals of Python that will enable the students to get off the ground and begin to write comprehensive python code in the shortest time possible. This training is for beginners who want to get off the ground quickly. The explanations of the concepts are straightforward to grasp and understand. The training is structured in a way that would make it easy for anyone taking it to understand. It is structured to be taken in 4 weeks. However, you don’t have to follow the four-week structure if you are a fast learner. This training is 100% practical. There is no PowerPoint presentation. Every explanation and definition of the concepts are done in the code. This is a deviation from the norm. Topics such as Python Identifiers and Keywords, Python Statements, Indentation and comment, Python Variables and Constants, Python Operators, Python Literals, Python Data Types, Python Type Conversion, Python Data Structures, Python Input and Output, and Python Import Statement, Python DateTime Function, Python Control Flow, are extensively discussed and explained.

Furthermore, you will learn how to handle files, debug your code in the event of any error, and prevent users of your code from making mistakes or showing them error they cannot understand. All these experiences will then be combined to gain an extensive understanding of Python Object Oriented Programming. By the time you are done with this training, you would have become a Professional Python Developer.

Course Curriculum

Chapter 1: Week 0 – Welcome and Onboarding

Lecture 1: Welcome and Introduction

Lecture 2: Tools for the Training

Lecture 3: Python Installation

Lecture 4: Anaconda Installation

Lecture 5: Opening Jupyter And Jupyter Folder

Lecture 6: How to use Jupyter Notebook

Lecture 7: Join the Telegram Channel

Chapter 2: Week 1 – Python Fundamentals

Lecture 1: Python Identifiers and Keywords

Lecture 2: Description of Keywords in Python Part1

Lecture 3: Description of Keywords in Python Part2

Lecture 4: Description of Keywords in Python Part3

Lecture 5: Python Statements Indentation Comments Help

Lecture 6: Python Variables and Constant Part 1

Lecture 7: Python Variables and Constant Part 2

Lecture 8: Python Operators

Lecture 9: Python Literals

Lecture 10: Python Data Types Part 1

Lecture 11: Python Data Types Part 2

Lecture 12: Python Data Types Part 3

Lecture 13: Python Data Types Part 4

Lecture 14: Python Types Conversion

Lecture 15: Python Data Structures Part 1

Lecture 16: Python Data Structures Part 2

Lecture 17: Python Data Structures Part 3

Lecture 18: Python Data Structures Part 4

Lecture 19: Python Data Structures Part 5

Lecture 20: Python Data Structures Part 6

Lecture 21: Python Data Structures Part 7

Lecture 22: Python Data Structures Part 8

Lecture 23: Python Data Structures Part 9

Lecture 24: Python Data Structures Part 10

Lecture 25: Python Data Structures Part 11

Lecture 26: Python Data Structures Part 12

Lecture 27: Python Data Structures Part 13

Lecture 28: Python Data Structures Part 14

Lecture 29: Python Data Structures Part 15

Lecture 30: Python Data Structures Part 16

Lecture 31: Python Data Structures Part 17

Lecture 32: Python Data Structures Part 18

Lecture 33: Python Data Structures Part 19

Lecture 34: Python Data Structures Part 20

Lecture 35: Python Data Structures Part 21

Lecture 36: Python Data Structures Part 22

Lecture 37: Python Data Structures Part 23

Lecture 38: Python Data Structures Part 24

Lecture 39: Python Input Output Part 1

Lecture 40: Python Input Output Part 2

Lecture 41: Python Input Output Part 3

Lecture 42: Python Input Output Part 4

Lecture 43: Python Module Import

Lecture 44: Python Namespace and Scope Part 1

Lecture 45: Python Namespace and Scope Part 2

Chapter 3: Week 2 – Dates/Control-Flow/Functions/Object-Oriented-Programming

Lecture 1: Python DateTime Part 1

Lecture 2: Python DateTime Part 2

Lecture 3: Python Control Flow Introduction

Lecture 4: Python Control Flow: If-Statement

Lecture 5: Python Control Flow: If-Else-Statement

Lecture 6: Python Control Flow-If-Elif-Else-Statement

Lecture 7: Python Control Flow: Nested-If-Statement

Lecture 8: Python Control Flow: For-Loop Part 1

Lecture 9: Python Control Flow:For-Loop Part 2

Lecture 10: Python Control Flow:For-Loop Part 3

Lecture 11: Python Control Flow:For-Loop Part 4

Lecture 12: Python Control Flow:For-Loop Part 5

Lecture 13: Python Control Flow:For-Loop Part 6

Lecture 14: Python Control Flow:For-Loop Part 7

Lecture 15: Python Control Flow:For-Loop Part 8

Lecture 16: Python Control Flow:For-Loop Part 9

Lecture 17: Python Control Flow:For-Loop Part 10

Lecture 18: Python Control Flow:For-Loop Part 11

Lecture 19: Python Control Flow: While-Loop Part 1

Lecture 20: Python Control Flow: While-Loop Part 2

Lecture 21: Python Control Flow: While-Loop Part 3

Lecture 22: Python Control Flow: While-Loop Part 4

Lecture 23: Python Control Flow: While-Loop Part 5

Lecture 24: Python Control Flow: While-Loop Part 6

Lecture 25: Python Control Flow: While-Loop Part 7

Lecture 26: Python Control Flow Control Statement: Break Part 1

Lecture 27: Python Control Flow Control Statement: Break Part 2

Lecture 28: PythonControl Flow Control Statement: Continue-Statement

Lecture 29: Python Control Flow Control Statement: Pass-Statement

Lecture 30: Python Function Introduction

Lecture 31: Python Function Basics Part 1

Lecture 32: Python Function Basics Part 2

Lecture 33: Python Function Basics Part 3

Lecture 34: Python Function Basics Part 4

Lecture 35: Python Function Basics Part 5

Lecture 36: Python Function Global Local Non-Local Part 1

Lecture 37: Python Function Global Local Non-Local Part 2

Lecture 38: Python Global keyword

Lecture 39: Python Function Argument and Parameter Part 1

Lecture 40: Python Function Argument and Parameter Part 2

Lecture 41: Python Function Recursion

Lecture 42: Python Lambda Function Part 1

Lecture 43: Python Lambda Function Part 2

Lecture 44: Python Module

Lecture 45: Python Random Module

Instructors

Ogunleye Olalekan Samuel
Data Scientist, Machine Learning Expert, IT Professional

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 4 votes
4 stars: 17 votes
5 stars: 52 votes

Frequently Asked Questions

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