Udemy

Complete Python Course Bootcamp | Python Libraries Unlocked

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  • 303 Students
  • Updated 1/2023
  • Certificate Available
4.7
(25 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Language
English
Taught by
Nileg Production, Umair Ahmed Younas
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.7
(25 Ratings)

Course Overview

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.

Course Content

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

What You’ll Learn

  • 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.


Reviews

  • 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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