Learn Python
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12. Where To Go From Here.zip
20.9 MB
12. Where To Go From Here
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⌨️ Hide secret message in image using Python
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πŸ”… Django Essential Training

🌐 Author: Leticia Portella
πŸ”° Level: Intermediate

⏰ Duration: 2h 6m

πŸŒ€ Learn Django essentials hands-on, as this course walks you through building a working system that can create, edit, and list notes per user with an authentication system.


πŸ“— Topics: Django

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Django Essential Training.zip
313.2 MB
πŸ“±Learn Python
πŸ“±Django Essential Training
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πŸ”… Python in Excel

🌐 Author: Scott Simpson
πŸ”° Level: Beginner

⏰ Duration: 30m

πŸŒ€ Get a high-level overview of the Python in Excel features launched in the public beta preview.


πŸ“— Topics: Microsoft Excel, Python

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Python in Excel.zip
66.7 MB
πŸ“±Learn Python
πŸ“±Python in Excel
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Ex_Files_Python_in_Excel.zip
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πŸ“¦ Exercise Files
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Python's rich ecosystem of libraries empowers data scientists to tackle complex challenges efficiently. This infographic highlights essential libraries for data manipulation, analysis, visualization, and machine learning.
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⌨️ Python List Slicing
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πŸ”° NLP - Natural Language Processing with Python

🌟 4.5 - 17656 votes πŸ’° Original Price: $74.99

πŸ“– Learn to use Machine Learning, Spacy, NLTK, SciKit-Learn, Deep Learning, and more to conduct Natural Language Processing


πŸ”Š Taught By: Jose Portilla, Pierian Training

πŸ“€ Download Full Course πŸ“€ Download All Courses
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⌨️ Python for Everybody Specialization (University of Michigan)

Learn to Program and Analyze Data with Python. Develop programs to gather, clean, analyze, and visualize data.
Charles Russell Severance


πŸŽ™ Instructor: Charles Russell Severance
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@LearnPython3 Python for Everybody Specialization.zip
1.6 GB
@LearnPython3 Python for Everybody Specialization
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⌨️ Python Collections (PluralSight 2024)

🎀 By: Mateo Prigl

Mastering Python’s containers is key to tackling complex data structures efficiently. This course will teach you how to utilize Python's built-in and specialized container types for optimal data management and manipulation.


πŸ“– Table of contents:
- Course Overview (1min)
- Utilizing Built-in Containers (55mins)
- Improving Efficiency with Advanced Dictionaries (20mins)
- Using Specialized Collection Classes (30mins)
- Customizing Built-in Data Types (8mins)
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⌨️ Python Interview QuestionsπŸ’‘
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