Python for Everybody: Five Domain Specialization
4.4 (151 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.
16,721 students enrolled

Python for Everybody: Five Domain Specialization

Game Development, Data Visualization, Web Scraping, Security and Cryptography, and Hacking--all at one course!
4.4 (151 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.
16,721 students enrolled
Created by Sachin Kafle
Last updated 5/2020
English
English [Auto]
Current price: $139.99 Original price: $199.99 Discount: 30% off
23 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 41.5 hours on-demand video
  • 11 downloadable resources
  • 7 coding exercises
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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
Course content
Expand all 144 lectures 41:30:41
+ Access Resources: Theory and Python Code!!
2 lectures 05:12
How to access theoretical resources?
01:52
How to access Source Code of course?
03:20
+ Python Basics: Learning objects and data structures
24 lectures 06:12:23
Install Python on Windows
09:03
Download and setup Pycharm code editor on Windows
10:07
Download Visual Studio code editor on Windows (Optional)
05:48
Install python on Linux Machine
08:08
Download and setup Pycharm code editon on Linux
12:31
How to read Python documentation
08:27
Data Types: String, Set and Numbers
21:42
Data Types: List, Dictionaty and Tuple
17:36
Operators and Operands
22:04
Logical Operators and Operations
11:27
Add two numbers
1 question
Comments and User Input
15:34
Built-in Modules and Creating your own Modules
19:37
Python "List" Data Structures
44:18
List Coding Exercise
1 question
Python "Dictionary" Data Structures
14:56
Challanges on Dictionary
1 question
Learn Strings and String Methods in detail
31:46
String Formatting
08:45
Python Indentation
10:08
Python Conditionals: if...else statements
12:24
Coding Exercise!
1 question
Looping in Python: while Loops
08:39
Looping in Python: for Loops
19:08
Coding Exercise for Looping.
1 question
User Defined Functions in Python
26:29
Default Arguments in Python
07:56
Anonymous/Lambda functions
12:16
Find area of circle?
1 question
+ Advanced Python: Python constructs
19 lectures 06:22:08
Functional Programming: lambda, map and reduce
19:23
Iterators in Python
15:58
Generators in Python
17:35
Decorators
20:24
List and Dictionary Comprehensions
21:16
Challanges!
1 question
Classes and Objects in Python
45:22
Basic Inheritance in Python
21:25
Multiple Inheritance in Python
09:01
Polymorphism in Python
07:10
Properties
18:19
Operator Overloading in Python
26:48
Metaclass in Python
16:02
Stack Implementation using Classes and Objects
30:44
Exception Handling
15:00
File Handling
24:20
__name__ and "__main__"
08:23
Multiprocessing with Python
13:52
Multithreading
27:39
Example of Multithreading
23:27
+ Advanced Python Modules
8 lectures 03:22:27
First Module: "collections"
20:51
Second Module: "os"
21:13
Third Module: "heapq"
17:24
Fourth Module: "functools"
20:36
Fifth Module: "math"
21:53
Sixth Module: "random"
26:14
Seventh Module: "sqlite"
32:46
Eighth Module: "datetime"
41:30
+ Webscraping using BeautifulSoup and Selenium
6 lectures 01:38:40
Introduction to Web Scraping
01:43
Basics of Web Scraping
18:58
Using BeautifulSoup for webscraping
11:56
BeautifulSoup with "lxml" parser
12:59
Webscraping with Selenium Webdriver
24:44
Example: Combining BeautifulSoup and Selenium Webdriver together
28:20
+ Game Development using turtle and pygame
24 lectures 09:09:33
Introduction to Game Development
01:12
Introduction to turtle module
29:06
Introduction to turtle module & magic methods
19:26
Computation using vectors and Magic methods (operator overloading)
30:03
Start using turtle with simple animation
36:17
Snake Game Capstone: Creating Layouts and Handling Movements
15:59
Snake Game Capstone: Make movements of Snake character
11:10
Snake Game Capstone: Creating boundaries for game
17:27
Pacman Game Capstone: Creating game world
38:23
Pacman Game Capstone: Valid and Invalid movements for characters
18:45
Pacman Game Capstone: Making movement for Pacman
14:12
Pacman Game Capstone: Rendering ghosts and their movements
11:33
Introduction to pygame module
32:31
Let's talk about frame-rate
09:49
Loading images/sprites using pygame
13:12
Pygame DODGE CAR CAPSTONE: Render Player and screen
35:14
Pygame DODGE CAR CAPSTONE: Rendering Enemies
11:01
Pygame DODGE CAR CAPSTONE: Handling Collisions
31:24
Pygame PACMAN CAPSTONE: Start creating game characters
48:23
Pygame PACMAN CAPSTONE: Learning about Levels
31:38
Pygame PACMAN CAPSTONE: Loading sprites and create Game Loop
29:26
Pygame PACMAN CAPSTONE: Handle rotations and collisions of Sprites
23:58
Pygame PACMAN CAPSTONE: Handling ghost movements
23:37
Pygame PACMAN CAPSTONE: Wrap Up!!
15:47
+ Data Visualization using numpy, pandas, matplotlib
12 lectures 03:29:49
Introduction to Data Visualization
00:48
Numpy Array vs Python List
13:33
Basic Methods of numpy
25:13
Computation on numpy array
09:39
numpy and matplotlib together
11:02
Introduction to different graphs using matplotlib library
29:16
Introduction to "pandas" library
20:52
Merging & Joining data frames using pandas
08:53
Capstone: Loading and configuring data frames using pandas
33:41
Capstone: Writing queries using pandas
15:33
Capstone: Manipulating Columns of data frame
21:37
Capstone: Cleaning the data or Preprocessing
19:42
+ Security and Cryptography
5 lectures 01:44:43
Security Protocols for Password Hashing
20:12
Message Digest
14:35
Encryption making signatures
33:08
Implementing RSA algorithm
08:30
Advanced Encryption Standard (AES) Encryption & Decryption
28:18
+ Hacking with Kali Linux
20 lectures 04:02:22
Setting Hacker and Victim Machine to test Python hacking Scripts
20:07
Linux Commands
25:01
apt-get commands
11:12
Basics of Networking
07:07
Information gathering
16:36
Airmon-ng: Change Default mode of adapter to monitor mode
09:31
Change Managed Mode to Monitor Mode: Manual Method
08:00
Crack WPA: airodump-ng and crunch
21:09
Crack WPA with Wordlist
07:07
Man In The Middle Framework: ARP Spoof
05:47
ARP Spoofing and Capturing Packets with MITMF
09:40
MITMF Plugins
13:50
Inject Keylogger and take Screenshots with MITMF
06:31
Installing and configuring Veil Framework
07:30
Custom Payload with Veil
11:50
Making Backdoor: Reverse_HTTPS with Veil
10:45
Configuring Listener with msfconsole
16:12
Veil in action to get Connection from Client
12:24
Introduction to Beef Framework
12:04
Beef & MITMF in action to exploit Client Browser
09:59
Requirements
  • Any machine with OS (Windows, MacOSX, and Linux)
  • No programming background is essential (if there is, it will be useful)
  • No prior knowledge of Python is required
  • Fair internet connection is required to install some softwares and python libraries
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.

What Type Of Jobs Are Available To Python Programmers?

In the job market, if you observe the trends; Python is often looked like a strong language to support some primary language that is more broadly used like C or Java. But Lately, with the evolution of ML and Deep Learning Algorithms; it is highly demanded skill to have in 2020 and later. There are a variety of jobs that one can get focusing exclusively on Python development, however. Many of these jobs will be in building and improving the internal tools that a company uses to create its finished marketable products, rather than working on the finished product itself.

One specific economic sector where the presence of Python programming is particularly strong is the geospatial industry. This is a critical industry that deals with navigational tools such as GPS, radar, and light measurements.

If you're interested in web applications, Python is a better choice for development (working with the back-end or server-side) rather than design (creating the actually finished front-end that site visitors interact with). As mentioned previously, Google employed Python for many components of its search engine, and it is quite widely used in the data mining industry.

Finally, Python can also be used for game development. Some famous examples of games developed either entirely or in large part with Python include EVE Online, Civilization IV, the Battlefield game series, and the Mount & Blade games. The popular development environment Blender is written in Python.

Who this course is for:
  • Beginners who want to specialize area like web scraping, game development using Python
  • Beginners who want to learn about hacking and cryptography using Python
  • Begineers who want to learn about data visualization using Python