Python Science Projects.pdf_20231120_013618_0000.pdf
2.1 MB
Python Data Science Projects For Boosting Your Portfolio
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How to master Python from scratch🚀
1. Setup and Basics 🏁
- Install Python 🖥️: Download Python and set it up.
- Hello, World! 🌍: Write your first Hello World program.
2. Basic Syntax 📜
- Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.
- Control Structures 🔄: Understand if-else statements, for loops, and while loops.
- Functions 🛠️: Write reusable blocks of code.
3. Data Structures 📂
- Lists 📋: Manage collections of items.
- Dictionaries 📖: Store key-value pairs.
- Tuples 📦: Work with immutable sequences.
- Sets 🔢: Handle collections of unique items.
4. Modules and Packages 📦
- Standard Library 📚: Explore built-in modules.
- Third-Party Packages 🌐: Install and use packages with pip.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro web framework.
- Django 🦄: Dive into a full-fledged web framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data manipulation and analysis.
- Matplotlib 📈 and Seaborn 📊: Data visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️: Use Python to automate repetitive tasks.
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪: Write tests for your code.
- Debugging 🔍: Learn to debug efficiently.
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: Like "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow video courses and tutorials.
- Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
1. Setup and Basics 🏁
- Install Python 🖥️: Download Python and set it up.
- Hello, World! 🌍: Write your first Hello World program.
2. Basic Syntax 📜
- Variables and Data Types 📊: Learn about strings, integers, floats, and booleans.
- Control Structures 🔄: Understand if-else statements, for loops, and while loops.
- Functions 🛠️: Write reusable blocks of code.
3. Data Structures 📂
- Lists 📋: Manage collections of items.
- Dictionaries 📖: Store key-value pairs.
- Tuples 📦: Work with immutable sequences.
- Sets 🔢: Handle collections of unique items.
4. Modules and Packages 📦
- Standard Library 📚: Explore built-in modules.
- Third-Party Packages 🌐: Install and use packages with pip.
5. File Handling 📁
- Read and Write Files 📝
- CSV and JSON 📑
6. Object-Oriented Programming 🧩
- Classes and Objects 🏛️
- Inheritance and Polymorphism 👨👩👧
7. Web Development 🌐
- Flask 🍼: Start with a micro web framework.
- Django 🦄: Dive into a full-fledged web framework.
8. Data Science and Machine Learning 🧠
- NumPy 📊: Numerical operations.
- Pandas 🐼: Data manipulation and analysis.
- Matplotlib 📈 and Seaborn 📊: Data visualization.
- Scikit-learn 🤖: Machine learning.
9. Automation and Scripting 🤖
- Automate Tasks 🛠️: Use Python to automate repetitive tasks.
- APIs 🌐: Interact with web services.
10. Testing and Debugging 🐞
- Unit Testing 🧪: Write tests for your code.
- Debugging 🔍: Learn to debug efficiently.
11. Advanced Topics 🚀
- Concurrency and Parallelism 🕒
- Decorators 🌀 and Generators ⚙️
- Web Scraping 🕸️: Extract data from websites using BeautifulSoup and Scrapy.
12. Practice Projects 💡
- Calculator 🧮
- To-Do List App 📋
- Weather App ☀️
- Personal Blog 📝
13. Community and Collaboration 🤝
- Contribute to Open Source 🌍
- Join Coding Communities 💬
- Participate in Hackathons 🏆
14. Keep Learning and Improving 📈
- Read Books 📖: Like "Automate the Boring Stuff with Python".
- Watch Tutorials 🎥: Follow video courses and tutorials.
- Solve Challenges 🧩: On platforms like LeetCode, HackerRank, and CodeWars.
15. Teach and Share Knowledge 📢
- Write Blogs ✍️
- Create Video Tutorials 📹
- Mentor Others 👨🏫
I have curated the best interview resources to crack Python Interviews 👇👇
https://topmate.io/coding/898340
Hope you'll like it
Like this post if you need more resources like this 👍❤️
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Many people still aren't fully utilizing the power of Telegram.
There are numerous channels on Telegram that can help you find the latest job and internship opportunities?
Here are some of my top channel recommendations to help you get started 👇👇
Latest Jobs & Internships: https://news.1rj.ru/str/getjobss
Jobs Preparation Resources:
https://news.1rj.ru/str/jobinterviewsprep
Data Science Jobs:
https://news.1rj.ru/str/datasciencej
Interview Tips:
https://news.1rj.ru/str/Interview_Jobs
Data Analyst Jobs:
https://news.1rj.ru/str/jobs_SQL
AI Jobs:
https://news.1rj.ru/str/AIjobz
Remote Jobs:
https://news.1rj.ru/str/jobs_us_uk
FAANG Jobs:
https://news.1rj.ru/str/FAANGJob
Software Developer Jobs: https://news.1rj.ru/str/internshiptojobs
If you found this helpful, don’t forget to like, share, and follow for more resources that can boost your career journey!
Let me know if you know any other useful telegram channel
ENJOY LEARNING👍👍
There are numerous channels on Telegram that can help you find the latest job and internship opportunities?
Here are some of my top channel recommendations to help you get started 👇👇
Latest Jobs & Internships: https://news.1rj.ru/str/getjobss
Jobs Preparation Resources:
https://news.1rj.ru/str/jobinterviewsprep
Data Science Jobs:
https://news.1rj.ru/str/datasciencej
Interview Tips:
https://news.1rj.ru/str/Interview_Jobs
Data Analyst Jobs:
https://news.1rj.ru/str/jobs_SQL
AI Jobs:
https://news.1rj.ru/str/AIjobz
Remote Jobs:
https://news.1rj.ru/str/jobs_us_uk
FAANG Jobs:
https://news.1rj.ru/str/FAANGJob
Software Developer Jobs: https://news.1rj.ru/str/internshiptojobs
If you found this helpful, don’t forget to like, share, and follow for more resources that can boost your career journey!
Let me know if you know any other useful telegram channel
ENJOY LEARNING👍👍
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Harvard CS50 – Free Computer Science Course (2023 Edition)
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
Kaggle community for data science project discussion: @Kaggle_Group
Here are the lectures included in this course:
Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity
https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/
Kaggle community for data science project discussion: @Kaggle_Group
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Here is an A-Z list of essential programming concepts:
A - Algorithms
B - Boolean Logic
C - Control Structures
D - Data Structures
E - Encapsulation
F - Functions
G - Generics
H - High-level vs. Low-level Languages
I - Inheritance
J - JSON (JavaScript Object Notation)
K - Key-Value Pair
L - Loops
M - Modularity
N - Null Pointer
O - Object-Oriented Programming
P - Polymorphism
Q - Queue (Data Structure)
R - Recursion
S - Sorting Algorithms
T - Time Complexity
U - Unit Testing
V - Variables
W - Web Development Basics
X - XML (eXtensible Markup Language)
Y - YAML (YAML Ain't Markup Language)
Z - Zero-Based Indexing
These concepts are fundamental to understanding and writing code effectively. They form the building blocks of programming knowledge and are essential for creating robust and efficient software solutions.
Join for more: https://news.1rj.ru/str/programming_guide
ENJOY LEARNING 👍👍
A - Algorithms
B - Boolean Logic
C - Control Structures
D - Data Structures
E - Encapsulation
F - Functions
G - Generics
H - High-level vs. Low-level Languages
I - Inheritance
J - JSON (JavaScript Object Notation)
K - Key-Value Pair
L - Loops
M - Modularity
N - Null Pointer
O - Object-Oriented Programming
P - Polymorphism
Q - Queue (Data Structure)
R - Recursion
S - Sorting Algorithms
T - Time Complexity
U - Unit Testing
V - Variables
W - Web Development Basics
X - XML (eXtensible Markup Language)
Y - YAML (YAML Ain't Markup Language)
Z - Zero-Based Indexing
These concepts are fundamental to understanding and writing code effectively. They form the building blocks of programming knowledge and are essential for creating robust and efficient software solutions.
Join for more: https://news.1rj.ru/str/programming_guide
ENJOY LEARNING 👍👍
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reactjs_tutorial basic.pdf
858.1 KB
basic reactjs install commands and more details
javanoscript1.pdf
479.9 KB
these are best notes guy's check and try
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NETWORK_SCIENCE___PYTHON.pdf
24.1 MB
Network Science with Python
David Knickerbocker, 2023
David Knickerbocker, 2023
Create Graphical User Interfaces with Python (1).pdf
11.3 MB
✅ Book : Create Graphical User Interfaces with Python – How to build windows, buttons, and widgets for your Python projects
✅ Download now 🚀
✅ Download now 🚀
Stopwatch using ( HTML, CSS, JAVASCRIPT ).txt
4.1 KB
Stopwatch using ( HTML%2C CSS%2C JAVASCRIPT ).txt
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Many people pay too much to learn SQL, but my mission is to break down barriers. I have shared complete learning series to learn SQL from scratch.
Here are the links to the SQL series
Complete SQL Topics for Data Analyst: https://news.1rj.ru/str/sqlspecialist/523
Part-1: https://news.1rj.ru/str/sqlspecialist/524
Part-2: https://news.1rj.ru/str/sqlspecialist/525
Part-3: https://news.1rj.ru/str/sqlspecialist/526
Part-4: https://news.1rj.ru/str/sqlspecialist/527
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Part-6: https://news.1rj.ru/str/sqlspecialist/534
Part-7: https://news.1rj.ru/str/sqlspecialist/534
Part-8: https://news.1rj.ru/str/sqlspecialist/536
Part-9: https://news.1rj.ru/str/sqlspecialist/537
Part-10: https://news.1rj.ru/str/sqlspecialist/539
Part-11: https://news.1rj.ru/str/sqlspecialist/540
Part-12:
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Part-13: https://news.1rj.ru/str/sqlspecialist/542
Part-14: https://news.1rj.ru/str/sqlspecialist/544
Part-15: https://news.1rj.ru/str/sqlspecialist/545
Part-16: https://news.1rj.ru/str/sqlspecialist/546
Part-17: https://news.1rj.ru/str/sqlspecialist/549
Part-18: https://news.1rj.ru/str/sqlspecialist/552
Part-19: https://news.1rj.ru/str/sqlspecialist/555
Part-20: https://news.1rj.ru/str/sqlspecialist/556
I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content.
But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand.
Complete Python Topics for Data Analysts: https://news.1rj.ru/str/sqlspecialist/548
Complete Excel Topics for Data Analysts: https://news.1rj.ru/str/sqlspecialist/547
I'll continue with learning series on Python, Power BI, Excel & Tableau.
Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.
Hope it helps :)
Here are the links to the SQL series
Complete SQL Topics for Data Analyst: https://news.1rj.ru/str/sqlspecialist/523
Part-1: https://news.1rj.ru/str/sqlspecialist/524
Part-2: https://news.1rj.ru/str/sqlspecialist/525
Part-3: https://news.1rj.ru/str/sqlspecialist/526
Part-4: https://news.1rj.ru/str/sqlspecialist/527
Part-5: https://news.1rj.ru/str/sqlspecialist/529
Part-6: https://news.1rj.ru/str/sqlspecialist/534
Part-7: https://news.1rj.ru/str/sqlspecialist/534
Part-8: https://news.1rj.ru/str/sqlspecialist/536
Part-9: https://news.1rj.ru/str/sqlspecialist/537
Part-10: https://news.1rj.ru/str/sqlspecialist/539
Part-11: https://news.1rj.ru/str/sqlspecialist/540
Part-12:
https://news.1rj.ru/str/sqlspecialist/541
Part-13: https://news.1rj.ru/str/sqlspecialist/542
Part-14: https://news.1rj.ru/str/sqlspecialist/544
Part-15: https://news.1rj.ru/str/sqlspecialist/545
Part-16: https://news.1rj.ru/str/sqlspecialist/546
Part-17: https://news.1rj.ru/str/sqlspecialist/549
Part-18: https://news.1rj.ru/str/sqlspecialist/552
Part-19: https://news.1rj.ru/str/sqlspecialist/555
Part-20: https://news.1rj.ru/str/sqlspecialist/556
I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content.
But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand.
Complete Python Topics for Data Analysts: https://news.1rj.ru/str/sqlspecialist/548
Complete Excel Topics for Data Analysts: https://news.1rj.ru/str/sqlspecialist/547
I'll continue with learning series on Python, Power BI, Excel & Tableau.
Thanks to all who support our channel and share the content with proper credits. You guys are really amazing.
Hope it helps :)
❤6👍1
Python Handwritten Notes PDF Guide.pdf
32.3 MB
The Ultimate Python Handwritten Notes 📝 🚀
React ❤️ for more
React ❤️ for more
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Best python github Repositories very helpful for beginners -
1. scikit-learn : https://github.com/scikit-learn
2. Flask : https://github.com/pallets/flask
3. Keras : https://github.com/keras-team/keras
4. Sentry : https://github.com/getsentry/sentry
5. Django : https://github.com/django/django
6. Ansible : https://github.com/ansible/ansible
7. Tornado : https://github.com/tornadoweb/tornado
1. scikit-learn : https://github.com/scikit-learn
2. Flask : https://github.com/pallets/flask
3. Keras : https://github.com/keras-team/keras
4. Sentry : https://github.com/getsentry/sentry
5. Django : https://github.com/django/django
6. Ansible : https://github.com/ansible/ansible
7. Tornado : https://github.com/tornadoweb/tornado
GitHub
scikit-learn
Repositories related to the scikit-learn Python machine learning library. - scikit-learn
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