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:
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Installation of Python 3 on Windows
-
Setting up Raspberry Pi
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Tour of Python 3 environment on Raspberry Pi and Windows
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Basics of Python Programming
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Object Oriented Programming
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Exception Handling
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Jupyter installation and basics
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Basics of Scientific Python Ecosystem
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Basics of NumPy and Matplotlib
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SciPy Basics
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Matrices and Linear Algebra
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Data Preprocessing with Pandas
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Data Cleansing and Wrangling with Pandas
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Visualization with Pandas and Matplotlib
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Python and SQL
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Image Processing
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Python Distributions and IDEs
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Word Clouds with Python
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Python Data Visualization with Pygal
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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
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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!
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