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Python for Everybody: Five Domain Specialization


Python for Everybody: Five Domain Specialization 4.4 (98 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
New
by Sachin Kafle

What you'll learn
  • Python basics like data-types, loops, decision-makings, file handling, libraries, modules, date-times etc.
  • Create more than 10 real world projects
  • Create a web scraper using BeautifulSoup and Selenium webdriver
  • Python Advanced Concepts like functional programming, decorators, list comprehension, heapQ, Stacks etc.
  • Famous python libraries: collection, datetime, pygame, numpy, pandas etc.
  • Object oriented Programming and its features like: Inheritance, Polymorphism, Operator Overloading
  • Game Development from scratch using turtle and pygame libraries
  • Security and Cryptography: Message and Password Encryption and Decryption
  • Data Visualization using numpy, pandas and matplotlib
  • Hacking from scratch
  • Using python to create Malware, Backdoor and Keylogger

Description

Welcome to Python Programming world: The most popular language skill to have in 2020. You are going to learn every bit of python language in this course so that you can apply your knowledge in real-world apps.

In this course, You will learn:

1. Web Scraping using BeautifulSoup and Selenium Webdriver

2. Game Development using Pygame module

3. Data Visualization using pandas, numpy and matplotlib module

4. Security and Cryptography

5. Hacking and Exploiting (Create Backdoors and Malware from Scratch) 


TOPICS TO BE COVERED IN THIS COURSE:

Basic Python course Highlights:

  1. Installing Python

  2. Running Python Code

  3. Strings

  4. Lists

  5. Dictionaries

  6. Tuples

  7. Sets

  8. Number Data Types

  9. Print Formatting

  10. Functions

  11. Scope

  12. args/ kwargs

  13. Built-in Functions

  14. Debugging and Error Handling

  15. Modules

  16. External Modules

  17. Object-Oriented Programming

  18. Inheritance

  19. Polymorphism

  20. Encapsulation

  21. Advanced Methods

  22. Iterators

  23. Closures

  24. and much more!

Advanced Python Topic Highlights:

  1. Functional Programming (lambda, map, reduce)

  2. Decorators

  3. List Comprehensions, Dictionary Comprehensions

  4. HeapQ, Stack Implementation

  5. Classes and objects

  6. Metaclasses

Necessary Module covered:

  1. os

  2. collection

  3. random

  4. subprocess

  5. datetime

  6. math

  7. numpy

  8. pandas

  9. matplotlib

  10. beautifulsoup, selenium

  11. sqlite

  12. cryptodome

  13. turtle, pygame

  14. multiprocessing and so on...


PROJECTS SECTION

Projects (Basic to advance):

  1. Web scraping on real websites

  2. Snake game

  3. Dodge Car race game

  4. Pacman game

  5. Password and message hashing

  6. Cryptography

  7. NBA data visualization

  8. Making mac-changer with Python (Hacking)

  9. Malware from scratch

  10. Backdoor and Python Keylogger from scratch

Frequently Asked Questions:

Is Python A Good First Programming Language To Learn?

Even though it has not yet been adopted as a first language by many computer science programs, Python is widely seen by industry experts as a great first programming language when learning to code and its extensive use in SpaceX to automate and handle technologies to launch rockets, Instagram, Google to support their backends and Many companies to support and execute ML and Deep Learning Algorithms; Its undoubtedly No.1 Programming Language to learn.

For starters, the syntax of Python is simpler than that of most other major programming languages, with fewer exceptions and special cases. It also tends to use plain English keywords in place of the system of punctuation that has to be memorized in other languages, making it easier to learn to code. Given these conventions, Python code tends to appear as less of a "jumble" to newcomers than it does in comparable languages.

Another great feature of Python is the ubiquity of its use. While Python is optimized for development on Linux and Unix systems, interpreters are available for just about every major operating system. All implementations of Python are supported by an excellent standard library, which means that new students can very quickly move on to creating actual functional programs that are useful. Additionally, the standard implementation of Python, CPython, is free and open-source.


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