Udemy

Complete Python Course Bootcamp | Python Libraries Unlocked

立即報名
  • 303 名學生
  • 更新於 1/2023
  • 可獲發證書
4.7
(25 個評分)
  • 提示:
  • 透過本站連結購買Udemy課程,本站將獲得推廣佣金,有助未來提供更多實用進修課程資訊給讀者。

課程資料

報名日期*
全年招生
課程級別
學習模式
教學語言
英語
授課導師
Nileg Production, Umair Ahmed Younas
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
4.7
(25 個評分)
課程連結
*提示: 以上時間表僅供參考,以機構網站為準。

課程簡介

Complete Python Course Bootcamp | Python Libraries Unlocked

Learn Python Pillow, Numpy, Matplotlib, Beautifulsoup, Python Streamlit, Text mining, and more in full bootcamp course

In this course, students will learn how to use Python as real-world problems solving tool and we will go through all those important libraries of Python which every python beginner should know. From Image Processing to Audio Analysis, from Data Extraction to Data Visualization & from Web Scraping to Network Programming, students will learn each & every important concept which will let students become full-stack Python Developers.

  1. First of all, we will start from Pillow which is an image processing library, and with the help of this library students will learn how to play with images in Python.

  2. After this, we will learn our favorite library and that's Numpy which will allow us to work with arrays and numeric operations in Python.

  3. And for data visualization, we will learn Matplotlib which is simple and easy to use.

  4. For storing purposes, we will use Google Firebase with the help of the Python Pyrebase library which will allow us to add storage, database, and authentication features in our python apps.

  5. Nowadays audios are a very sophisticated way of data sharing and to process and analyze audio files, we will use the Pydub library.

  6. After learning all these things, every python beginner should also know about Networking as well and for Network Programming in Python, we will use a very well-known python library and that is Sockets.

  7. For finding different types of patterns for data extraction, we will learn Python regex or Re module.

  8. For text mining & text processing, we will learn Python's easiest library and that is Textblob.

  9. Finally, students need to know about Web Scraping and for this purpose, we will use the BeautifulSoup library.

We will also update this course from time to time by adding more material regarding Python Development in order to keep students up-to-date for python development.

課程章節

  • 25 個章節
  • 273 堂課
  • 第 1 章 Sequential Programming in Python
  • 第 2 章 Control Structures in Python
  • 第 3 章 Collection Datatypes
  • 第 4 章 Functional Programming in Python
  • 第 5 章 Object Oriented Programming in Python
  • 第 6 章 Error Handling
  • 第 7 章 File Handling
  • 第 8 章 Installing Pycharm
  • 第 9 章 Image Processing In Python Using Pillow
  • 第 10 章 Arrays In Python Using Numpy
  • 第 11 章 Data Visualization In Python Using Matplotlib Library
  • 第 12 章 Firebase In Python Using Pyrebase Library
  • 第 13 章 Audio Processing With Pydub
  • 第 14 章 Network Programming In Python Using Sockets
  • 第 15 章 Pattern Finding & Data Extraction In Python Using Regex
  • 第 16 章 Natural Language Processing and Text Mining In Python Using Textblob Library
  • 第 17 章 Web Scraping In Python Using BeautifulSoup4
  • 第 18 章 Web Applications Development In Python Using Streamlit
  • 第 19 章 Web Scraper In Streamlit
  • 第 20 章 Image Editor
  • 第 21 章 URL Shortener Web App
  • 第 22 章 Audio To Text Converter
  • 第 23 章 Keyword Density Checker Web App
  • 第 24 章 Data Visualizer Web App
  • 第 25 章 Advance Streamlit

課程內容

  • Students will learn how to process images in Python
  • Students will learn how to perform numeric operation using Python Numpy
  • Students will learn how to visualize data using Matplotlib
  • Students will learn how to analyze audio files in Python
  • Students will learn how to extract information from any web page using Web Scraping technique.
  • Students will learn how to mine data from text and how to find different types of patterns in text.


評價

  • A
    Abhranil Saha
    3.5

    good course

  • F
    Faruk Ahmed
    5.0

    The instructor is very detailed and precise in explanations.

  • J
    Jack Mark
    5.0

    Best course for very Python Beginner. Explained everything from a very start.

  • J
    Johnson Bob
    5.0

    Amazing Course.

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