課程資料
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- *證書的發放與分配,依課程提供者的政策及安排而定。
課程簡介
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!
課程章節
- 57 個章節
- 233 堂課
- 第 1 章 Introduction to the Course
- 第 2 章 Install Python 3 on Windows
- 第 3 章 Python 3 and RPi
- 第 4 章 Hello World and Python Basics
- 第 5 章 Python 3 Programming Basics
- 第 6 章 Arithmetic Expressions
- 第 7 章 Conditional Statements
- 第 8 章 Operators
- 第 9 章 Loops
- 第 10 章 Functions
- 第 11 章 Recursion
- 第 12 章 Built-in Functions
- 第 13 章 DocStrings
- 第 14 章 Pycharm and Geany on Windows
- 第 15 章 Strings and Collections
- 第 16 章 Object Oriented Programming
- 第 17 章 Datetime and Math
- 第 18 章 Command Line Arguments
- 第 19 章 Python Package Index and pip
- 第 20 章 NumPy and Matplotlib Installation
- 第 21 章 Jupyter Notebook
- 第 22 章 Getting Started with NumPy
- 第 23 章 Creation of Arrays and Visualization with Matplotlib
- 第 24 章 NumPy and Random
- 第 25 章 Ndarray Manipulation
- 第 26 章 Bitwise Operators
- 第 27 章 Statistical Functions
- 第 28 章 Matplotlib Plotting in detail
- 第 29 章 Installing SciPy and Pandas
- 第 30 章 Matrices and Linear Algebra
- 第 31 章 Data Acquisition with Python, NumPy, and Matplotlib
- 第 32 章 MySQL and Python
- 第 33 章 Series and Dataframes in Pandas
- 第 34 章 Data Acquisition with Pandas
- 第 35 章 Data Cleansing and Preprocessing
- 第 36 章 Data Analysis with Pandas
- 第 37 章 Data Visualization with Pandas
- 第 38 章 Complete Data Science Example with Pandas and Altair
- 第 39 章 A bit of Machine Learning with SciPy
- 第 40 章 Image Processing with Matplotlib and NumPy
- 第 41 章 Python Distributions and More IDEs
- 第 42 章 Wordcloud
- 第 43 章 Pygal Data Visualization
- 第 44 章 2to3
- 第 45 章 Data Structures in Python 3
- 第 46 章 Visualizations of Graphs and Network
- 第 47 章 Web Scrapping
- 第 48 章 Unit testing with unittest
- 第 49 章 pytest
- 第 50 章 Test Driven Development
- 第 51 章 Web testing automation with Selenium
- 第 52 章 Logging mechanism in Python 3
- 第 53 章 Data Visualization with Toyplot
- 第 54 章 os and sys libraries in Python 3
- 第 55 章 Convert Python 3 file to a Windows executable
- 第 56 章 Downloadable Code Bundle
- 第 57 章 BONUS SECTION
課程內容
- 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
此課程所涵蓋的技能
評價
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SSunil S Shinde
Good sir, you are a great teacher. thanks for teaching in detail.
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AAshish Singh
it was reall6y good.
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KKenji Takeda
Learning speed is good.