Python Programming from Basics to Advanced

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Last updated 7/2021
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 25.96 GB | Duration: 62h 9m

Python: Learn to code with Python programming language. Start coding in Python. Python Programming for Beginners, Python

What you'll learn
Have a fundamental understanding of the Python programming language
Have the skills and understanding of Python to confidently apply for Python programming jobs
Acquire the pre-requisite Python skills to move into specific branches - Machine Learning, Data Science, etc
Add the Python Object-Oriented Programming (OOP) skills to your Resume
Understand how to create your own Python programs
Learn Advanced Python concepts like Multithreading, Regular Expressions, Exceptional Handling and connecting to Databases using Python
Learn about Data Science relevant packages like Pandas, Numpy, Matplotlib and Seaborn in detail
Advanced Data Science concepts like Feature scaling, Encoding, Missing value treatment and Outlier treatment
Learn Python from experienced professional software developers

Requirements
A computer - Windows, Mac, and Linux are all supported. Setup and installation instructions are included for each platform.
Your enthusiasm to learn this go-to programming language. It's a valuable lifetime skill which you can't un-learn!
Everything else needed to start programming in Python is already included in the course.

Description
Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that's what you will get from this course. This is the most comprehensive, course for the Python programming language where you can find content for every level either for beginners who have never programmed before or for existing programmers who want to increase their career options or want to learn about the advanced features of Python. This course will teach you Python in a practical manner, with every lecture comes to a full coding screencast and a corresponding code notebook. Here you will get in-depth knowledge of each topic with easy to understand the coding part. After every video, you learn a new valuable concept that you can apply right away. This course includes quizzes, tests, and homework assignments as well as major projects to create a Python project portfolio. By the end of the course, you'll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.Python: Learn to code with Python programming language. Start coding in Python. Python Programming for Beginners, Python

Overview
Section 1: Slack Details

Lecture 1 Slack Details for Communication

Section 2: Live Sessions

Lecture 2 Live Session 0 - 06072021 - Data Analysis using Python - Video Games

Lecture 3 Live Session 1 - 08072021 - Basic Programming & Bug Fixing in Python

Section 3: Python Installation and Introduction

Lecture 4 How this course helped a fresher

Lecture 5 About Instructor and the Feedback

Lecture 6 Python history and features

Section 4: Python Data Types

Lecture 7 Python Data Types - Part 1

Lecture 8 Python Data Types - Part 2

Section 5: Python Collection Data Types

Lecture 9 Lists

Lecture 10 Tuples, Dictionaries and Sets

Section 6: Operators in Python

Lecture 11 Various operators in Python

Lecture 12 Operators in Python - Part 2

Section 7: Input and Output in Python

Lecture 13 Input Ways in Python

Lecture 14 Output ways in Python

Section 8: Flow Control in Python

Lecture 15 if - else statements and for loops in python

Lecture 16 while loops in Python

Section 9: String Operations in Python

Lecture 17 String Operations

Lecture 18 String Operation - Examples

Section 10: Functions in Python

Lecture 19 Functions in Python - Part 1

Lecture 20 Functions in Python - Part 2

Lecture 21 Functions in Python - Part 3

Lecture 22 Functions in Python - Part 4

Lecture 23 Functions in Python - Part 5

Lecture 24 Functions in Python - Part 6

Section 11: Exception Handling in Python

Lecture 25 Exception Handling in Python - Part1

Lecture 26 Exception Handling in Python - Part2

Lecture 27 Exception Handling in Python - Part3

Lecture 28 Exception Handling - Example

Lecture 29 Exception Handling - Custom Message

Section 12: File Handling in Python

Lecture 30 File Handling in Python - Part 1

Lecture 31 File Handling in Python - Part 2

Section 13: OOPs Concept in Python

Lecture 32 OOPs 1 - An Introduction

Lecture 33 OOPs 2

Lecture 34 OOPs 3

Lecture 35 OOPs 4

Lecture 36 OOPs 5

Lecture 37 OOPs 6

Lecture 38 OOPs 7

Lecture 39 OOPs 8

Lecture 40 OOPs 9

Lecture 41 OOPs 10

Lecture 42 OOPs 11

Lecture 43 OOPs 12

Lecture 44 OOPs 13

Section 14: Multithreading in Python

Lecture 45 Multi Threading - Part 1

Lecture 46 Multi Threading - Part 2

Lecture 47 Multi Threading - Part 3

Lecture 48 Multi Threading - Part 4

Lecture 49 Multi Threading - Part 5

Section 15: Regular Expression in Python

Lecture 50 Regular Expression in Python - Part 1

Lecture 51 Regular Expression in Python - Part 2

Section 16: Numpy Package in Python

Lecture 52 Numpy - Part 1

Lecture 53 Numpy - Part 2

Lecture 54 Numpy - Part 3

Section 17: Pandas Package in Python

Lecture 55 Pandas - Part 1

Lecture 56 Pandas - Part 2

Lecture 57 Pandas - Part 3

Lecture 58 Pandas - Part 4

Lecture 59 Pandas - Part 5

Section 18: dfply - An understanding

Lecture 60 dfply - An understanding

Section 19: Data Visualization in Python using Matplotlib and Seaborn

Lecture 61 Matplotlib - Visualization

Lecture 62 Seaborn - Visualization

Section 20: Data Preprocessing in Python

Lecture 63 Data Preprocessing - Missing Value Treatment

Lecture 64 Data Preprocessing - Outlier Treatment

Lecture 65 Data Preprocessing - Feature Scaling - Part1

Lecture 66 Data Preprocessing - Feature Scaling(Handson) - Part 2

Section 21: Python Connection with Oracle

Lecture 67 Python Connection with Oracle - Part 1 (Inserts)

Lecture 68 Python Connection with Oracle - Part 2 (Other DMLs)

Section 22: Exploratory Data Analysis

Lecture 69 Exploratory Data Analysis - Part 1

Lecture 70 Exploratory Data Analysis - Part 2

Section 23: Extra Problems and Solutions

Lecture 71 Extra Problems and Solutions - Part 1

Lecture 72 Extra Problems and Solutions - Part 2

Lecture 73 Extra Problems and Solutions - Part 3

Section 24: Python Quizzes and Practice Problems

Lecture 74 Python Quizzes

Lecture 75 Python Introduction - Question 1 - If and else

Lecture 76 Python Introduction - Question 2 - Arithmetic Operators

Lecture 77 01. Calculate the average of numbers in a given list

Lecture 78 02. Exchange the Values of Two Numbers Without Using a Temporary Variable

Lecture 79 03. Read a Number n and Compute n+nn+nnn

Lecture 80 04. Compute Simple Interest

Lecture 81 05. Read Height in Centimeters and then Convert the Height to Feet and Inches

Beginners with no previous programming experience looking to obtain the skills to get their first programming job,Anyone looking to to build the minimum Python programming skills necessary as a pre-requisites for moving into machine learning, data science, AI,Existing programmers who want to improve their career options by learning the Python programming language,If you are an expert Python programmer with extensive knowledge, and many years' experience, then this course is probably not for you

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