Python for Everybody: Five Domain Specialization
- Description
- Curriculum
- FAQ
- Reviews
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:
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Installing Python
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Running Python Code
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Strings
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Lists
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Dictionaries
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Tuples
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Sets
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Number Data Types
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Print Formatting
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Functions
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Scope
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args/ kwargs
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Built-in Functions
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Debugging and Error Handling
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Modules
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External Modules
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Object-Oriented Programming
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Inheritance
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Polymorphism
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Encapsulation
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Advanced Methods
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Iterators
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Closures
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and much more!
Advanced Python Topic Highlights:
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Functional Programming (lambda, map, reduce)
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Decorators
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List Comprehensions, Dictionary Comprehensions
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HeapQ, Stack Implementation
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Classes and objects
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Metaclasses
Necessary Module covered:
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os
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collection
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random
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subprocess
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datetime
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math
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numpy
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pandas
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matplotlib
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beautifulsoup, selenium
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sqlite
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cryptodome
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turtle, pygame
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multiprocessing and so on…
PROJECTS SECTION
Projects (Basic to advance):
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Web scraping on real websites
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Snake game
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Dodge Car race game
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Pacman game
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Password and message hashing
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Cryptography
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NBA data visualization
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Making mac-changer with Python (Hacking)
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Malware from scratch
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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.
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7Install Python on WindowsVideo lesson
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8Download and setup Pycharm code editor on WindowsVideo lesson
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9Download Visual Studio code editor on Windows (Optional)Video lesson
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10Install python on Linux MachineVideo lesson
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11Download and setup Pycharm code editon on LinuxVideo lesson
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12How to read Python documentationVideo lesson
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13Variables on PythonVideo lesson
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14Data Types: String, Set and NumbersVideo lesson
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15Data Types: List, Dictionaty and TupleVideo lesson
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16Operators and OperandsVideo lesson
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17Logical Operators and OperationsVideo lesson
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18Add two numbersQuiz
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19Comments and User InputVideo lesson
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20Built-in Modules and Creating your own ModulesVideo lesson
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21Python "List" Data StructuresVideo lesson
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22List Coding ExerciseQuiz
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23Python "Dictionary" Data StructuresVideo lesson
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24Challanges on DictionaryQuiz
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25Learn Strings and String Methods in detailVideo lesson
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26String FormattingVideo lesson
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27Python IndentationVideo lesson
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28Python Conditionals: if...else statementsVideo lesson
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29Coding Exercise!Quiz
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30Looping in Python: while LoopsVideo lesson
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31Looping in Python: for LoopsVideo lesson
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32Coding Exercise for Looping.Quiz
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33User Defined Functions in PythonVideo lesson
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34Default Arguments in PythonVideo lesson
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35Anonymous/Lambda functionsVideo lesson
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36Find area of circle?Quiz
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37Functional Programming: lambda, map and reduceVideo lesson
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38Iterators in PythonVideo lesson
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39Generators in PythonVideo lesson
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40DecoratorsVideo lesson
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41List and Dictionary ComprehensionsVideo lesson
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42Challanges!Quiz
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43Classes and Objects in PythonVideo lesson
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44Basic Inheritance in PythonVideo lesson
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45Multiple Inheritance in PythonVideo lesson
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46Polymorphism in PythonVideo lesson
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47PropertiesVideo lesson
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48Operator Overloading in PythonVideo lesson
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49Metaclass in PythonVideo lesson
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50Stack Implementation using Classes and ObjectsVideo lesson
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51Exception HandlingVideo lesson
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52File HandlingVideo lesson
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53__name__ and "__main__"Video lesson
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54Multiprocessing with PythonVideo lesson
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55MultithreadingVideo lesson
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56Example of MultithreadingVideo lesson
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57First Module: "collections"Video lesson
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58Second Module: "os"Video lesson
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59Third Module: "heapq"Video lesson
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60Fourth Module: "functools"Video lesson
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61Fifth Module: "math"Video lesson
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62Sixth Module: "random"Video lesson
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63Seventh Module: "sqlite"Video lesson
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64Eighth Module: "datetime"Video lesson
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65Introduction to Web ScrapingVideo lesson
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66Basics of Web ScrapingVideo lesson
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67Using BeautifulSoup for webscrapingVideo lesson
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68BeautifulSoup with "lxml" parserVideo lesson
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69Webscraping with Selenium WebdriverVideo lesson
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70Example: Combining BeautifulSoup and Selenium Webdriver togetherVideo lesson
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