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Data Analysis with Python - Full Course for Beginners (Numpy, Pandas, Matplotlib, Seaborn)
Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.
Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.
In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.
https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s
#علم_داده #پایتون #Python #DataScience
🆔 @Python4all_pro
Learn Data Analysis with Python in this comprehensive tutorial for beginners, with exercises included!
NOTE: Check description for updated Notebook links.
Data Analysis has been around for a long time, but up until a few years ago, it was practiced using closed, expensive and limited tools like Excel or Tableau. Python, SQL and other open libraries have changed Data Analysis forever.
In this tutorial you'll learn the whole process of Data Analysis: reading data from multiple sources (CSVs, SQL, Excel, etc), processing them using NumPy and Pandas, visualize them using Matplotlib and Seaborn and clean and process it to create reports.
Additionally, we've included a thorough Jupyter Notebook tutorial, and a quick Python reference to refresh your programming skills.
https://www.youtube.com/watch?v=r-uOLxNrNk8&t=683s
#علم_داده #پایتون #Python #DataScience
🆔 @Python4all_pro
آشنایی با ابزارها و کتابخانه های پایتون برای machine learning
👇👇
https://github.com/ml-tooling/best-of-ml-python
#پایتون #Python #یادگیری_ماشین
🆔 @Python4all_pro
👇👇
https://github.com/ml-tooling/best-of-ml-python
#پایتون #Python #یادگیری_ماشین
🆔 @Python4all_pro
GitHub
GitHub - ml-tooling/best-of-ml-python: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly. - ml-tooling/best-of-ml-python
در ابن ریپو به بهترین منابع یادگیری علم داده ( دوره ها ، کتاب ها و ابزارهای مورد نیاز ) یکجا دسترسی دارید
👇👇👇
https://github.com/academic/awesome-datascience
#پایتون #Python #علم_داده
🆔 @Python4all_pro
👇👇👇
https://github.com/academic/awesome-datascience
#پایتون #Python #علم_داده
🆔 @Python4all_pro
GitHub
GitHub - academic/awesome-datascience: :memo: An awesome Data Science repository to learn and apply for real world problems.
:memo: An awesome Data Science repository to learn and apply for real world problems. - academic/awesome-datascience
⬅️ کدنویسی تمیز در پایتون
https://levelup.gitconnected.com/learn-how-to-write-python-clean-code-using-these-3-principles-ed046978e39a
⬅️ بهینه‌سازی کدهای پایتون
https://levelup.gitconnected.com/write-efficient-python-code-for-data-scientists-optimizing-your-code-2dbb717f610e
⬅️ پاک‌سازی داده ها
https://kaggle.com/learn/data-cleaning
#پایتون #Python #Data_Cleaning
🆔 @Python4all_pro
https://levelup.gitconnected.com/learn-how-to-write-python-clean-code-using-these-3-principles-ed046978e39a
⬅️ بهینه‌سازی کدهای پایتون
https://levelup.gitconnected.com/write-efficient-python-code-for-data-scientists-optimizing-your-code-2dbb717f610e
⬅️ پاک‌سازی داده ها
https://kaggle.com/learn/data-cleaning
#پایتون #Python #Data_Cleaning
🆔 @Python4all_pro
Medium
Write Python Clean Code Using These 3 Principles
A Brief Guide To Write Python Clean Code
🖥 کتابخانه های پایتون برای کار با PDF
در این پست مجموعه ای از بهترین کتابخانه ها که به استخراج متن ، ویرایش ، تجزیه و تحلیل اسناد PDF کمک می کنند ، ارائه شده است. هر یک از آنها نقاط قوت خاص خود را دارند
📌 pypdf2 - for reading, separation, association, turning and modification PDF
🔗 https://github.com/py-pdf/pypdf
📌 pdfminer - extracts text, structure and meta -information from PDF (including fonts and coordinates)
🔗 https://github.com/pdfminer/pdfminer.six
📌 Reportlab-Creation of PDF files with graphs, tables, styles and a mile
🔗 https://www.reportlab.com/opensource/
📌 pypdfium2 - quick rendering and extraction of images using the PDFIUM engine
🔗 https://pypi.org/project/pypdfium2/
📌 pdfplumber - convenient extraction of text, tables and coordinates of objects
🔗 https://github.com/jsvine/pdfplumber
📌 pymupdf (fitz) - fast and powerful library for analysis, rendering and annotation PDF
🔗 https://github.com/pymupdf/pymupdf
#پایتون #Python #کتابخانه
🆔 @Python4all_pro
در این پست مجموعه ای از بهترین کتابخانه ها که به استخراج متن ، ویرایش ، تجزیه و تحلیل اسناد PDF کمک می کنند ، ارائه شده است. هر یک از آنها نقاط قوت خاص خود را دارند
📌 pypdf2 - for reading, separation, association, turning and modification PDF
🔗 https://github.com/py-pdf/pypdf
📌 pdfminer - extracts text, structure and meta -information from PDF (including fonts and coordinates)
🔗 https://github.com/pdfminer/pdfminer.six
📌 Reportlab-Creation of PDF files with graphs, tables, styles and a mile
🔗 https://www.reportlab.com/opensource/
📌 pypdfium2 - quick rendering and extraction of images using the PDFIUM engine
🔗 https://pypi.org/project/pypdfium2/
📌 pdfplumber - convenient extraction of text, tables and coordinates of objects
🔗 https://github.com/jsvine/pdfplumber
📌 pymupdf (fitz) - fast and powerful library for analysis, rendering and annotation PDF
🔗 https://github.com/pymupdf/pymupdf
#پایتون #Python #کتابخانه
🆔 @Python4all_pro