The Complete Python Developer Masterclass

The Complete Python Developer Masterclass, available at $19.99, has an average rating of 4.25, with 233 lectures, based on 17 reviews, and has 123 subscribers.

You will learn about Python 3 Basics and Advanced Concepts Setting Up and using Raspberry Pi Scientific Python Ecosystem Basics of Data Science and Pandas Image Processing Work with MySQL, Excel, Plaintext, and CSV Python Distributions Python Visualization This course is ideal for individuals who are Programmers and Developers or Data Scientists, Data Analysts, and Data Engineers or Mathematicians, Statisticians, Scientists, and Engineers or Machine Learning and AI Professionals or Tinkerers and Hobbyists or Students, Job seekers, anyone wanting to learn new stuff It is particularly useful for Programmers and Developers or Data Scientists, Data Analysts, and Data Engineers or Mathematicians, Statisticians, Scientists, and Engineers or Machine Learning and AI Professionals or Tinkerers and Hobbyists or Students, Job seekers, anyone wanting to learn new stuff.

Enroll now: The Complete Python Developer Masterclass

Summary

Title: The Complete Python Developer Masterclass

Price: $19.99

Average Rating: 4.25

Number of Lectures: 233

Number of Published Lectures: 233

Number of Curriculum Items: 233

Number of Published Curriculum Objects: 233

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Python 3 Basics and Advanced Concepts

Setting Up and using Raspberry Pi

Scientific Python Ecosystem

Basics of Data Science and Pandas

Image Processing

Work with MySQL, Excel, Plaintext, and CSV

Python Distributions

Python Visualization

Who Should Attend

Programmers and Developers

Data Scientists, Data Analysts, and Data Engineers

Mathematicians, Statisticians, Scientists, and Engineers

Machine Learning and AI Professionals

Tinkerers and Hobbyists

Students, Job seekers, anyone wanting to learn new stuff

Target Audiences

Programmers and Developers

Data Scientists, Data Analysts, and Data Engineers

Mathematicians, Statisticians, Scientists, and Engineers

Machine Learning and AI Professionals

Tinkerers and Hobbyists

Students, Job seekers, anyone wanting to learn new stuff

Become a Master in Python 3 Programming and acquire employers’ one of the most requested skills of 21st Century! A great Python Programmer earns more than $150000 per year in today’s market!

This is the most comprehensive, yet straight-forward course for the Python 3 Programming on Udemy! Whether you have never programmed before, already know basics of Python, or want to learn the advanced features of Python 3, this course is for you! In this course we will teach you Basic and Advanced Python 3 programming.

(Note, we also provide you PDFs and Jupyter Notebooks in case you need them)

With over 230 lectures and more than 28.5 hours of video this comprehensive course leaves no stone unturned in teaching you Basic and Advanced Programming with Python 3!

This course will teach you Python 3 Programming in a very practical manner, with every lecture comes a full programming video and a corresponding Jupyter notebook or a python code file that has Python 3 code! Learn in whatever manner is the best for you!

We will start by helping you get Python3 installed on your Windows computer and installing Raspbian Linux OS on your Raspberry Pi Board.

We cover a wide variety of topics, including:

Installation of Python 3 on Windows

Setting up Raspberry Pi

Tour of Python 3 environment on Raspberry Pi and Windows

Basics of Python Programming

Object Oriented Programming

Exception Handling

Jupyter installation and basics

Basics of Scientific Python Ecosystem

Basics of NumPy and Matplotlib

SciPy Basics

Matrices and Linear Algebra

Data Preprocessing with Pandas

Data Cleansing and Wrangling with Pandas

Visualization with Pandas and Matplotlib

Python and SQL

Image Processing

Python Distributions and IDEs

Word Clouds with Python

Python Data Visualization with Pygal

And many more advanced topics

You will get lifetime access to over 75 lectures plus corresponding PDFs and the Jupyter notebooks for the lectures! 

So what are you waiting for? Learn Data Visualization with Python 3 in a way that will advance your career and increase your knowledge, all in a fun and practical way!

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: Objectives, Prerequisites, and Audiences

Lecture 2: Contents and Topics

Lecture 3: Please do leave your feedback

Chapter 2: Install Python 3 on Windows

Lecture 1: Install Python 3 on Windows

Lecture 2: Verify the installation

Chapter 3: Python 3 and RPi

Lecture 1: Single Board Computers and Raspberry Pi

Lecture 2: Installing Raspberry Pi OS

Lecture 3: Remote connection with VNC

Lecture 4: Install IDLE3 on Raspberry Pi Raspbian

Lecture 5: Python on Raspberry Pi

Lecture 6: Additional Remote Connection Software

Lecture 7: Turning Raspberry Pi 4 into a portable tablet with Raspad 4

Chapter 4: Hello World and Python Basics

Lecture 1: Hello World! on Windows

Lecture 2: Hello World! on Raspberry Pi

Lecture 3: Python Interpreter vs Script Mode

Lecture 4: IDLE

Lecture 5: Comparison for various computers

Chapter 5: Python 3 Programming Basics

Lecture 1: Basic Data Types

Lecture 2: Assignment Operator

Lecture 3: print() function

Lecture 4: Comments

Lecture 5: input() function

Lecture 6: Code blocks and Indentation

Lecture 7: Reserved words in Python 3.7

Chapter 6: Arithmetic Expressions

Lecture 1: Assignment Operator and Expressions

Lecture 2: Arithmetic Operations

Lecture 3: Associativity and Precedence

Chapter 7: Conditional Statements

Lecture 1: Boolean Expressions

Lecture 2: If Statement

Lecture 3: If else

Lecture 4: Nested If

Lecture 5: Elif Else

Chapter 8: Operators

Lecture 1: Membership Operator

Lecture 2: Logical Operator

Lecture 3: Bitwise Operators

Chapter 9: Loops

Lecture 1: While

Lecture 2: While-break

Lecture 3: While-continue

Lecture 4: for-list

Lecture 5: for-range

Lecture 6: for-continue-break

Lecture 7: prime

Lecture 8: Factorial

Lecture 9: Fibonacci Series

Chapter 10: Functions

Lecture 1: Simple Functions

Lecture 2: Function with Arguments

Lecture 3: Return a value

Lecture 4: Function with Arbitrary arguments

Chapter 11: Recursion

Lecture 1: Simplerec

Lecture 2: Factorial

Lecture 3: Fibonacci Series

Lecture 4: Recursion

Chapter 12: Built-in Functions

Lecture 1: Built-in Functions

Chapter 13: DocStrings

Lecture 1: DocStrings

Chapter 14: Pycharm and Geany on Windows

Lecture 1: URLs to the resources

Lecture 2: Geany IDE

Lecture 3: PyCharm IDE

Chapter 15: Strings and Collections

Lecture 1: Strings

Lecture 2: Tuples

Lecture 3: Lists

Lecture 4: Sets

Lecture 5: Dictionaries

Chapter 16: Object Oriented Programming

Lecture 1: Class Object

Lecture 2: Inheritance

Lecture 3: Exceptions and Exception Handling

Lecture 4: More Exceptions

Lecture 5: Custom Exceptions

Chapter 17: Datetime and Math

Lecture 1: Datetime

Lecture 2: Math

Chapter 18: Command Line Arguments

Lecture 1: Command Line Arguments

Chapter 19: Python Package Index and pip

Lecture 1: Python Package Index and pip

Lecture 2: pip on Windows

Lecture 3: pip3 on Raspberry Pi

Chapter 20: NumPy and Matplotlib Installation

Lecture 1: Install NumPy and Matplotlib on Windows

Lecture 2: Install NumPy and Matplotlib on Raspberry Pi

Chapter 21: Jupyter Notebook

Lecture 1: Jupyter and IPython

Lecture 2: Jupyter Installation on Windows

Lecture 3: Jupyter Installation on Raspberry Pi

Lecture 4: PuTTY installation on Windows

Instructors

Ashwin Pajankar ? 85,000+ Students Worldwide
Instructor | Programmer | Maker | Author | Youtuber

Rating Distribution

1 stars: 0 votes

2 stars: 0 votes

3 stars: 4 votes

4 stars: 4 votes

5 stars: 9 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!