Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
4 Hour(s) 0 Minute(s)
Language
English
Taught by
Ashwin Pajankar • 85,000+ Students Worldwide
Certificate
- Available
- *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
3 views
Course Overview
Learn Basic and Advanced Python Programming and become a Python Developer
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 Content
- 57 section(s)
- 233 lecture(s)
- Section 1 Introduction to the Course
- Section 2 Install Python 3 on Windows
- Section 3 Python 3 and RPi
- Section 4 Hello World and Python Basics
- Section 5 Python 3 Programming Basics
- Section 6 Arithmetic Expressions
- Section 7 Conditional Statements
- Section 8 Operators
- Section 9 Loops
- Section 10 Functions
- Section 11 Recursion
- Section 12 Built-in Functions
- Section 13 DocStrings
- Section 14 Pycharm and Geany on Windows
- Section 15 Strings and Collections
- Section 16 Object Oriented Programming
- Section 17 Datetime and Math
- Section 18 Command Line Arguments
- Section 19 Python Package Index and pip
- Section 20 NumPy and Matplotlib Installation
- Section 21 Jupyter Notebook
- Section 22 Getting Started with NumPy
- Section 23 Creation of Arrays and Visualization with Matplotlib
- Section 24 NumPy and Random
- Section 25 Ndarray Manipulation
- Section 26 Bitwise Operators
- Section 27 Statistical Functions
- Section 28 Matplotlib Plotting in detail
- Section 29 Installing SciPy and Pandas
- Section 30 Matrices and Linear Algebra
- Section 31 Data Acquisition with Python, NumPy, and Matplotlib
- Section 32 MySQL and Python
- Section 33 Series and Dataframes in Pandas
- Section 34 Data Acquisition with Pandas
- Section 35 Data Cleansing and Preprocessing
- Section 36 Data Analysis with Pandas
- Section 37 Data Visualization with Pandas
- Section 38 Complete Data Science Example with Pandas and Altair
- Section 39 A bit of Machine Learning with SciPy
- Section 40 Image Processing with Matplotlib and NumPy
- Section 41 Python Distributions and More IDEs
- Section 42 Wordcloud
- Section 43 Pygal Data Visualization
- Section 44 2to3
- Section 45 Data Structures in Python 3
- Section 46 Visualizations of Graphs and Network
- Section 47 Web Scrapping
- Section 48 Unit testing with unittest
- Section 49 pytest
- Section 50 Test Driven Development
- Section 51 Web testing automation with Selenium
- Section 52 Logging mechanism in Python 3
- Section 53 Data Visualization with Toyplot
- Section 54 os and sys libraries in Python 3
- Section 55 Convert Python 3 file to a Windows executable
- Section 56 Downloadable Code Bundle
- Section 57 BONUS SECTION
What You’ll 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
Skills covered in this course
Reviews
-
SSunil S Shinde
Good sir, you are a great teacher. thanks for teaching in detail.
-
AAshish Singh
it was reall6y good.
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KKenji Takeda
Learning speed is good.
