Python for Everybody: Five Domain Specialization from Udemy

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)

Advanced Python Topic Highlights:

Functional Programming (lambda, map, reduce)
Decorators
List Comprehensions, Dictionary Comprehensions
HeapQ, Stack Implementation
Classes and objects
Metaclasses

Necessary Module covered:

os
collection
random
subprocess
datetime
math
numpy
pandas
matplotlib
beautifulsoup, selenium
sqlite
cryptodome
turtle, pygame
multiprocessing and so on...

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.

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Python for Everybody: Five Domain Specialization

Introduction

Introduction to Web Scraping

Introduction to Data Visualization

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Covers hacking and exploiting techniques, which provides a foundation for understanding cybersecurity principles and potential vulnerabilities

Starts with Python basics like data types, loops, and functions, which are essential for building a strong foundation in programming

Includes data visualization using NumPy, Pandas, and Matplotlib, which are industry-standard libraries for data analysis and presentation

Features web scraping using BeautifulSoup and Selenium, which are useful skills for data collection and web automation

Explores game development using Turtle and Pygame, which offers hands-on experience in creating interactive applications

Teaches security and cryptography, including message and password encryption/decryption, which are important for protecting sensitive information

Reviews summary

Python for everybody: five domain specialization

According to learners, this course offers a comprehensive introduction to Python, covering a wide range of topics from basics to advanced concepts and various domains like web scraping, data visualization, game development, security, and hacking. Students particularly appreciate the breadth of content and the exposure to different applications of Python. Many find it suitable for beginners looking to get a taste of multiple fields before specializing. However, some reviewers note that the course, due to its extensive scope, may lack depth in specific areas, requiring additional study for mastery. The section on hacking is sometimes mentioned, with varying perspectives on its inclusion and coverage. Overall, the course is considered a valuable starting point for exploring Python's diverse ecosystem.

Quality and pacing may vary across different modules.

"Some sections were incredibly clear and engaging, while others felt a bit rushed or less polished."

"The game development part was fun, but the hacking module felt somewhat out of place or basic."

"Content quality is generally good, but consistency between different domains could be improved."

"Some parts were easier to follow than others."

Includes hands-on examples and projects.

"The inclusion of real-world examples like web scraping and data visualization was very helpful."

"Building actual projects, like the games, really helped solidify my understanding."

"I appreciated seeing how Python could be applied in different practical scenarios."

"Learning through hands-on coding examples made the concepts stick."

Provides a solid foundation for new Python learners.

"This course is an excellent starting point for anyone new to programming with Python."

"I had no prior coding experience, and this course made Python basics accessible."

"It's well-structured for beginners, covering fundamentals clearly before moving to applications."

"Perfect for those just dipping their toes into the Python world."

Explores many Python applications in one course.

"I liked that the course covered many different areas of Python applications."

"It gives a great overview of various domains like data science, web scraping, and game dev."

"The breadth of topics from basics to hacking was quite impressive, offering a taste of everything."

"Exposure to five distinct Python domains is a major strength of this specialization."

Limited depth in specific advanced topics/domains.

"While broad, the course doesn't go deep enough into any single topic for true mastery."

"It's a great introduction, but you'll need more resources to become proficient in areas like data viz or security."

"I felt some advanced concepts and modules were only briefly touched upon."

"More detailed examples or projects in each domain would have been beneficial."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Python for Everybody: Five Domain Specialization with these activities:

Review Python Basics

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Reinforce your understanding of fundamental Python concepts like data types, loops, and functions to prepare for more advanced topics.

Browse courses on Python Basics

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Review Python data types and operators.
Practice writing basic Python functions.
Complete online Python tutorials or exercises.

Review 'Automate the Boring Stuff with Python'

Show steps

Gain practical experience by working through the examples and exercises in 'Automate the Boring Stuff with Python'.

View Automate the Boring Stuff with Python, 3rd... on Amazon

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Read the chapters relevant to web scraping, data visualization, and game development.
Complete the coding exercises at the end of each chapter.
Adapt the examples to solve your own automation problems.

Practice LeetCode problems

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Sharpen your problem-solving skills by tackling coding challenges on platforms like LeetCode, focusing on data structures and algorithms relevant to the course.

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Solve at least three LeetCode easy problems per week.
Focus on problems related to lists, dictionaries, and strings.
Review solutions and understand different approaches.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Build a Simple Web Scraper

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Apply your web scraping knowledge by building a simple web scraper that extracts data from a website of your choice.

Show steps

Choose a website to scrape.
Inspect the website's HTML structure.
Write Python code using BeautifulSoup to extract the desired data.
Store the scraped data in a CSV file or database.

Create a Data Visualization Dashboard

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Solidify your data visualization skills by creating an interactive dashboard using libraries like Pandas and Matplotlib.

Show steps

Choose a dataset to visualize.
Clean and preprocess the data using Pandas.
Create visualizations using Matplotlib or Seaborn.
Combine the visualizations into a dashboard using a framework like Dash or Streamlit.

Develop a Simple Game with Pygame

Show steps

Reinforce your game development skills by creating a simple game using the Pygame library.

Show steps

Design the game mechanics and rules.
Create game assets (sprites, backgrounds, etc.).
Implement the game logic using Pygame.
Test and debug the game.

Review 'Black Hat Python'

Show steps

Deepen your understanding of security and hacking by exploring the techniques and tools presented in 'Black Hat Python'.

View Black Hat Python, 2nd Edition: Python... on Amazon

Show steps

Read the chapters related to network sniffing, packet manipulation, and malware analysis.
Experiment with the code examples provided in the book.
Adapt the techniques to create your own security tools.

Career center

Learners who complete Python for Everybody: Five Domain Specialization will develop knowledge and skills that may be useful to these careers:

Data Scientist

As a Data Scientist Python is beneficial. This role involves analyzing large datasets to extract meaningful insights, build predictive models, and communicate findings to stakeholders. This course helps build a foundation in Python programming, covering essential libraries like NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. The course also covers relevant modules such as collections, math, random and datetime. The section on data visualization is particularly relevant. Learners taking this course are able to perform data analysis and build models.

See salaries and explore the career path for Data Scientist

Security Engineer

A Security Engineer focuses on protecting computer systems and networks from threats. This course helps those pursuing this career by providing knowledge of Python, which is used for security automation, penetration testing, and developing security tools. The course content on security and cryptography, including message and password encryption/decryption, is particularly relevant. Additionally, the hacking and exploiting section, where you create backdoors and malware from scratch, may be useful for understanding vulnerabilities and building defenses. This course prepares learners to address a diverse range of security challenges.

See salaries and explore the career path for Security Engineer

Software Developer

A Software Developer designs, develops, and tests software applications. This course helps build a foundation in Python development, covering key concepts like object oriented programming, functional programming, and advanced modules. The course covers necessary modules such as collections, os, random, and datetime. The course also covers web scraping using BeautifulSoup and Selenium Webdriver. The section on game development using Pygame module may be useful. Learners taking this course are well-equipped to tackle diverse software development challenges.

See salaries and explore the career path for Software Developer

Web Developer

Web Developers create and maintain websites and web applications. This course helps build a foundation in Python for backend web development, covering essential concepts and modules. The course content on web scraping using BeautifulSoup and Selenium Webdriver is especially relevant for data extraction and automation tasks. This course may be particularly useful for those interested in using Python frameworks for web development, providing practical skills applicable to real-world projects.

See salaries and explore the career path for Web Developer

Game Developer

Game Developers design and create video games for various platforms. This course may provide a foundation in game development using Python and the Pygame module. The course covers game development from scratch using turtle and Pygame libraries, including creating layouts, handling movements, and rendering characters. The course may also be useful for prototyping game mechanics and building simple games. Taking this course helps those pursuing a career as Game Developer.

See salaries and explore the career path for Game Developer

Penetration Tester

A Penetration Tester, also known as an ethical hacker, assesses the security of computer systems by simulating attacks to identify vulnerabilities. This course may be useful, as it covers hacking and exploiting, including creating backdoors and malware from scratch. The course also includes security and cryptography topics, such as message and password encryption/decryption, which may give Learners valuable skills for understanding and mitigating security risks. The knowledge gained could be applied to ethical hacking and security assessments.

See salaries and explore the career path for Penetration Tester

Automation Engineer

Automation Engineers design, develop, and implement automated systems and processes. This career role relies on a solid understanding of programming to create scripts and tools that streamline operations. This course may be useful for those wanting to pursue Automation Engineering. The material helps build a foundation in Python, a language often used for automation tasks, and covers modules useful for scripting and automating tasks. The web scraping section of the course, using BeautifulSoup and Selenium Webdriver, may also be relevant for automating data extraction.

See salaries and explore the career path for Automation Engineer

Machine Learning Engineer

Machine Learning Engineers develop and implement machine learning models and algorithms. This role typically requires an advanced degree. This course helps build a foundation in Python programming, which is essential for machine learning. The course also covers relevant modules such as NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. This course may be particularly useful for those interested in applying Python to machine learning tasks and building predictive models, which benefits those pursuing a career as a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Analyst

A Data Analyst collects, processes, and analyzes data to identify trends and insights. This course may be useful, helping those pursuing this career by providing a foundation in Python programming and covering key libraries for data analysis, such as NumPy, Pandas, and Matplotlib. Those libraries are used for data manipulation, analysis, and visualization. This course may be particularly useful for those interested in using Python to automate data analysis tasks and generate reports. The course covers relevant modules such as collections, math, random and datetime.

See salaries and explore the career path for Data Analyst

Software Engineer in Test

Software Engineers in Test design and develop automated tests to ensure the quality of software applications. This career role relies on a solid understanding of programming to create test scripts and frameworks. This course may be useful, helping to build a foundation in Python, a language often used for test automation, and covers modules useful for scripting and automating tasks. The web scraping section of the course, using BeautifulSoup and Selenium Webdriver, may also be relevant for automating test data extraction.

See salaries and explore the career path for Software Engineer in Test

Cybersecurity Analyst

Cybersecurity Analysts monitor and protect computer systems and networks from security threats. This course may be useful by providing a foundation in Python programming, which is used for security automation and analysis. The course covers security and cryptography, including message and password encryption/decryption, which may be relevant for understanding security protocols and vulnerabilities. This course may also assist interested learners in using Python to develop security tools and scripts to detect and prevent cyberattacks.

See salaries and explore the career path for Cybersecurity Analyst

Database Administrator

Database Administrators manage and maintain databases to ensure data integrity and availability. This course may be useful, providing a foundation in Python programming, which is used for database automation and scripting. The course also covers the SQLite module, which is relevant for working with databases in Python. Those taking the course may also find it useful for automating database tasks and developing custom database tools.

See salaries and explore the career path for Database Administrator

Network Engineer

Network Engineers design, implement, and manage computer networks. This course may be useful by providing a foundation in Python programming, which is used for network automation and scripting. The course may be relevant for learning how to use Python to automate network tasks and manage network devices. The course may also be helpful for developing custom network tools and scripts.

See salaries and explore the career path for Network Engineer

Technical Support Engineer

Technical Support Engineers provide technical assistance and troubleshooting to customers. This course may be useful, providing a foundation in Python programming, which can be used to automate troubleshooting tasks and develop custom support tools. The course teaches Python basics like data types, loops, and decision making. Those taking this course may find it useful for diagnosing and resolving technical issues more efficiently.

See salaries and explore the career path for Technical Support Engineer

Research Scientist

Research Scientists conduct research and experiments to advance scientific knowledge. This role typically requires an advanced degree. This course may be useful by providing a foundation in Python programming, which is used for data analysis, modeling, and simulation. The course covers relevant modules such as NumPy, Pandas, and Matplotlib for data manipulation, analysis, and visualization. Those taking this course may find it useful for conducting research in various scientific fields.

See salaries and explore the career path for Research Scientist

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Python for Everybody: Five Domain Specialization.

Automate the Boring Stuff with Python, 3rd Edition

Save

Provides a practical introduction to Python programming, focusing on automating everyday tasks. It's particularly useful for beginners as it covers essential concepts in a clear and accessible manner. The book complements the course by providing hands-on examples and projects that reinforce learning. It serves as a valuable reference for applying Python to real-world problems.

Automate the Boring Stuff with Python, 3rd Edition

Kindle Edition

Black Hat Python, 2nd Edition

Save

Delves into the use of Python for security and hacking purposes. It provides practical examples of creating tools for network sniffing, packet manipulation, and malware analysis. While the course covers hacking and exploiting, this book offers a more in-depth exploration of these topics. It's best used as additional reading to expand your knowledge in the security domain.

Black Hat Python, 2nd Edition: Python Programming...

Kindle Edition

Python for Everybody

Five Domain Specialization

What's inside

Learning objectives

Syllabus

Traffic lights

Save this course

Reviews summary

Python for everybody: five domain specialization

Activities

Career center

Reading list

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