Python for Everybody- Five Domain Specialization

Python for Everybody: Five Domain Specialization, available at $59.99, has an average rating of 4.45, with 144 lectures, 7 quizzes, based on 347 reviews, and has 30417 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginners who want to specialize area like web scraping, game development using Python or Beginners who want to learn about hacking and cryptography using Python or Begineers who want to learn about data visualization using Python It is particularly useful for Beginners who want to specialize area like web scraping, game development using Python or Beginners who want to learn about hacking and cryptography using Python or Begineers who want to learn about data visualization using Python.

Enroll now: Python for Everybody: Five Domain Specialization

Summary

Title: Python for Everybody: Five Domain Specialization

Price: $59.99

Average Rating: 4.45

Number of Lectures: 144

Number of Quizzes: 7

Number of Published Lectures: 144

Number of Published Quizzes: 7

Number of Curriculum Items: 151

Number of Published Curriculum Objects: 151

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

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

Target Audiences

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

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.

Course Curriculum

Chapter 1: Python for Everybody: Five Domain Specialization

Lecture 1: Introduction

Lecture 2: Introduction to Web Scraping

Lecture 3: Introduction to Data Visualization

Lecture 4: Introduction to Game Development

Chapter 2: Access Resources: Theory and Python Code!!

Lecture 1: How to access theoretical resources?

Lecture 2: How to access Source Code of course?

Chapter 3: Python Basics: Learning objects and data structures

Lecture 1: Install Python on Windows

Lecture 2: Download and setup Pycharm code editor on Windows

Lecture 3: Download Visual Studio code editor on Windows (Optional)

Lecture 4: Install python on Linux Machine

Lecture 5: Download and setup Pycharm code editon on Linux

Lecture 6: How to read Python documentation

Lecture 7: Variables on Python

Lecture 8: Data Types: String, Set and Numbers

Lecture 9: Data Types: List, Dictionary and Tuple

Lecture 10: Operators and Operands

Lecture 11: Logical Operators and Operations

Lecture 12: Comments and User Input

Lecture 13: Built-in Modules and Creating your own Modules

Lecture 14: Python List Data Structures

Lecture 15: Python Dictionary Data Structures

Lecture 16: Learn Strings and String Methods in detail

Lecture 17: String Formatting

Lecture 18: Python Indentation

Lecture 19: Python Conditionals: ifelse statements

Lecture 20: Looping in Python: while Loops

Lecture 21: Looping in Python: for Loops

Lecture 22: User Defined Functions in Python

Lecture 23: Default Arguments in Python

Lecture 24: Anonymous/Lambda functions

Chapter 4: Advanced Python: Python constructs

Lecture 1: Functional Programming: lambda, map and reduce

Lecture 2: Iterators in Python

Lecture 3: Generators in Python

Lecture 4: Decorators

Lecture 5: List and Dictionary Comprehensions

Lecture 6: Classes and Objects in Python

Lecture 7: Basic Inheritance in Python

Lecture 8: Multiple Inheritance in Python

Lecture 9: Polymorphism in Python

Lecture 10: Properties

Lecture 11: Operator Overloading in Python

Lecture 12: Metaclass in Python

Lecture 13: Stack Implementation using Classes and Objects

Lecture 14: Exception Handling

Lecture 15: File Handling

Lecture 16: __name__ and __main__

Lecture 17: Multiprocessing with Python

Lecture 18: Multithreading

Lecture 19: Example of Multithreading

Chapter 5: Advanced Python Modules

Lecture 1: First Module: collections

Lecture 2: Second Module: os

Lecture 3: Third Module: heapq

Lecture 4: Fourth Module: functools

Lecture 5: Fifth Module: math

Lecture 6: Sixth Module: random

Lecture 7: Seventh Module: sqlite

Lecture 8: Eighth Module: datetime

Chapter 6: Webscraping using BeautifulSoup and Selenium

Lecture 1: Introduction to Web Scraping

Lecture 2: Basics of Web Scraping

Lecture 3: Using BeautifulSoup for webscraping

Lecture 4: BeautifulSoup with lxml parser

Lecture 5: Webscraping with Selenium Webdriver

Lecture 6: Example: Combining BeautifulSoup and Selenium Webdriver together

Chapter 7: Game Development using turtle and pygame

Lecture 1: Introduction to Game Development

Lecture 2: Introduction to turtle module

Lecture 3: Introduction to turtle module & magic methods

Lecture 4: Computation using vectors and Magic methods (operator overloading)

Lecture 5: Start using turtle with simple animation

Lecture 6: Snake Game Capstone: Creating Layouts and Handling Movements

Lecture 7: Snake Game Capstone: Make movements of Snake character

Lecture 8: Snake Game Capstone: Creating boundaries for game

Lecture 9: Pacman Game Capstone: Creating game world

Lecture 10: Pacman Game Capstone: Valid and Invalid movements for characters

Lecture 11: Pacman Game Capstone: Making movement for Pacman

Lecture 12: Pacman Game Capstone: Rendering ghosts and their movements

Lecture 13: Introduction to pygame module

Lecture 14: Lets talk about frame-rate

Lecture 15: Loading images/sprites using pygame

Lecture 16: Pygame DODGE CAR CAPSTONE: Render Player and screen

Lecture 17: Pygame DODGE CAR CAPSTONE: Rendering Enemies

Lecture 18: Pygame DODGE CAR CAPSTONE: Handling Collisions

Lecture 19: Pygame PACMAN CAPSTONE: Start creating game characters

Lecture 20: Pygame PACMAN CAPSTONE: Learning about Levels

Lecture 21: Pygame PACMAN CAPSTONE: Loading sprites and create Game Loop

Lecture 22: Pygame PACMAN CAPSTONE: Handle rotations and collisions of Sprites

Lecture 23: Pygame PACMAN CAPSTONE: Handling ghost movements

Instructors

Sachin Kafle
Founder of CSAMIN & Bit4Stack Tech Inc. [[Author, Teacher]]

Rating Distribution

1 stars: 5 votes

2 stars: 9 votes

3 stars: 38 votes

4 stars: 133 votes

5 stars: 162 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!