Udemy

The Complete Python Developer Masterclass

立即報名
  • 128 名學生
  • 更新於 7/2022
  • 可獲發證書
4.5
(17 個評分)
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課程資料

報名日期
全年招生
課程級別
學習模式
修業期
4 小時 0 分鐘
教學語言
英語
授課導師
Ashwin Pajankar • 85,000+ Students Worldwide
證書
  • 可獲發
  • *證書的發放與分配,依課程提供者的政策及安排而定。
評分
4.5
(17 個評分)
2次瀏覽

課程簡介

The Complete Python Developer Masterclass

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


評價

  • S
    Sunil S Shinde
    5.0

    Good sir, you are a great teacher. thanks for teaching in detail.

  • A
    Ashish Singh
    3.5

    it was reall6y good.

  • K
    Kenji Takeda
    5.0

    Learning speed is good.

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