Complete Python Roadmap 🐍👇
1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler
2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators
3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements
4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions
6. File Handling
- Reading from and Writing to Files
- Handling Exceptions
7. Modules and Packages
- Importing Modules
- Creating Packages
8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
9. Error Handling
- Try, Except Blocks
- Custom Exceptions
10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module
11. Decorators and Generators
- Function Decorators
- Generator Functions
12. Working with APIs
- Making HTTP Requests
- JSON Handling
13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations
14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates
15. Asynchronous Programming
- Async/Await
- Asyncio Library
16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)
17. Pythonic Code
- PEP 8 Style Guide
- Code Readability
18. Version Control (Git)
- Basic Commands
- Collaborative Development
19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib
20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation
21. Web Scraping
- BeautifulSoup
- Scrapy
22. RESTful API Development
- Flask/Django Rest Framework
23. CI/CD Basics
- Continuous Integration
- Continuous Deployment
24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)
25. Security Best Practices
- Input Validation
- Handling Sensitive Data
26. Code Documentation
- Docstrings
- Generating Documentation
27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences
Resources to Learn Python:
1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/
2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90
3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101
4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63
Join @free4unow_backup for more Python resources.
Like this post if you want more content like this 😄❤️
ENJOY LEARNING 👍👍
1. Introduction to Python
- Definition
- Purpose
- Python Installation
- Interpreter vs Compiler
2. Basic Python Syntax
- Print Statement
- Variables and Data Types
- Input and Output
- Operators
3. Control Flow
- Conditional Statements (if, elif, else)
- Loops (for, while)
- Break and Continue Statements
4. Data Structures
- Lists
- Tuples
- Sets
- Dictionaries
5. Functions
- Function Definition
- Parameters and Return Values
- Lambda Functions
6. File Handling
- Reading from and Writing to Files
- Handling Exceptions
7. Modules and Packages
- Importing Modules
- Creating Packages
8. Object-Oriented Programming (OOP)
- Classes and Objects
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
9. Error Handling
- Try, Except Blocks
- Custom Exceptions
10. Advanced Data Structures
- List Comprehensions
- Generators
- Collections Module
11. Decorators and Generators
- Function Decorators
- Generator Functions
12. Working with APIs
- Making HTTP Requests
- JSON Handling
13. Database Interaction with Python
- Connecting to Databases
- CRUD Operations
14. Web Development with Flask/Django
- Flask/Django Setup
- Routing and Templates
15. Asynchronous Programming
- Async/Await
- Asyncio Library
16. Testing in Python
- Unit Testing
- Testing Frameworks (e.g., pytest)
17. Pythonic Code
- PEP 8 Style Guide
- Code Readability
18. Version Control (Git)
- Basic Commands
- Collaborative Development
19. Data Science Libraries
- NumPy
- Pandas
- Matplotlib
20. Machine Learning Basics
- Scikit-Learn
- Model Training and Evaluation
21. Web Scraping
- BeautifulSoup
- Scrapy
22. RESTful API Development
- Flask/Django Rest Framework
23. CI/CD Basics
- Continuous Integration
- Continuous Deployment
24. Deployment
- Deploying Python Applications
- Hosting Platforms (e.g., Heroku)
25. Security Best Practices
- Input Validation
- Handling Sensitive Data
26. Code Documentation
- Docstrings
- Generating Documentation
27. Community and Collaboration
- Open Source Contributions
- Forums and Conferences
Resources to Learn Python:
1. Free Course
- https://www.freecodecamp.org/learn/data-analysis-with-python/
2. Projects
- t.iss.one/pythonfreebootcamp/177
- t.iss.one/pythonspecialist/90
3. Books & Notes
- https://t.iss.one/dsabooks/99
- https://t.iss.one/dsabooks/101
4. Python Interview Preparation
- https://t.iss.one/PythonInterviews
- t.iss.one/DataAnalystInterview/63
Join @free4unow_backup for more Python resources.
Like this post if you want more content like this 😄❤️
ENJOY LEARNING 👍👍
👍32❤4
Useful Telegram Channels to boost your career 😄👇
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Cryptocurrency & Bitcoin
Python Projects
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
Free Courses with Certificate
Web Development
Data Science & Machine Learning
Programming books
Python Free Courses
Data Analytics
Ethical Hacking & Cyber Security
English Speaking & Communication
Excel
ChatGPT Hacks
SQL
Tableau & Power BI
Coding Projects
Data Science Projects
Jobs & Internship Opportunities
Coding Interviews
Udemy Free Courses with Certificate
Cryptocurrency & Bitcoin
Python Projects
Data Analyst Interview
Data Analyst Jobs
Python Interview
ChatGPT Hacks
ENJOY LEARNING 👍👍
👍19👎2❤1
🚀 Microsoft is offering some FREE courses 🚀
1️⃣ AI for beginners
Check this out 👇
https://microsoft.github.io/AI-For-Beginners
2️⃣ IOT
Check this out 👇
https://microsoft.github.io/IoT-For-Beginners
3️⃣ Machine Learning
Check this out👇
https://microsoft.github.io/ML-For-Beginners/#/
4️⃣ Data Science
Check this out👇
https://microsoft.github.io/Data-Science-For-Beginners/#/
Free Coding Courses
https://t.iss.one/addlist/ID95piZJZa0wYzk5
Few more courses ✅
𝟭.𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
𝟮.𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
𝟯.𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/
𝟰.𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
𝟱.𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
1️⃣ AI for beginners
Check this out 👇
https://microsoft.github.io/AI-For-Beginners
2️⃣ IOT
Check this out 👇
https://microsoft.github.io/IoT-For-Beginners
3️⃣ Machine Learning
Check this out👇
https://microsoft.github.io/ML-For-Beginners/#/
4️⃣ Data Science
Check this out👇
https://microsoft.github.io/Data-Science-For-Beginners/#/
Free Coding Courses
https://t.iss.one/addlist/ID95piZJZa0wYzk5
Few more courses ✅
𝟭.𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
𝟮.𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
𝟯.𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/
𝟰.𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
𝟱.𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
👍12❤2
Useful Windows 11 features. New shortcuts.
If you're a fan of various shortcuts, then there's a party in your street - Microsoft has added a couple of handy shortcuts to work with the new system.
Win+A - will open the quick sound setup menu, Wi-Fi and mini player.
Win+N - also in Windows 10 opens notifications, but now it includes the calendar.
Win+Z - opens a small multi-window setup window.
Win+H - this is a voice-recognition voice recorder that already knows how to work with the Russian language. For its work it is enough to open any input field, and then press the above buttons and start talking.
If you're a fan of various shortcuts, then there's a party in your street - Microsoft has added a couple of handy shortcuts to work with the new system.
Win+A - will open the quick sound setup menu, Wi-Fi and mini player.
Win+N - also in Windows 10 opens notifications, but now it includes the calendar.
Win+Z - opens a small multi-window setup window.
Win+H - this is a voice-recognition voice recorder that already knows how to work with the Russian language. For its work it is enough to open any input field, and then press the above buttons and start talking.
👍13🏆1
8 skills to invest in forever:
1. Avoid procrastination
2. Know your true self
3. Manage your time
4. Practice patience
5. Have confidence
6. Be consistent
7. Listen well
8. Speak up
1. Avoid procrastination
2. Know your true self
3. Manage your time
4. Practice patience
5. Have confidence
6. Be consistent
7. Listen well
8. Speak up
👍44
This is how you can learn everything:
1. 25 minutes of focused learning
2. 5 minutes break
3. 25 minutes of focused learning
4. 25 minutes break minimum
5. Optionally go back to step 1
You can complete this cycle 2 times max per day, and it works wonders.
Just Pomodoro.
No magic.
1. 25 minutes of focused learning
2. 5 minutes break
3. 25 minutes of focused learning
4. 25 minutes break minimum
5. Optionally go back to step 1
You can complete this cycle 2 times max per day, and it works wonders.
Just Pomodoro.
No magic.
👍25❤2
Essential Math for AI.pdf
18.1 MB
Essential Math for AI
Hala Nelson, 2022
Hala Nelson, 2022
👍10