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12. Where To Go From Here

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⌨️ Hide secret message in image using Python

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🔅 Django Essential Training

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Author: Leticia Portella

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Level: Intermediate

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Duration: 2h 6m

🌀 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.

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Topics: Django

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Django Essential Training.zip

313.2 MB

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📱Django Essential Training

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🔅 Python in Excel

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Author: Scott Simpson

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Level: Beginner

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Duration: 30m

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

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Topics: Microsoft Excel, Python

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Python in Excel.zip

66.7 MB

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📱Python in Excel

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Ex_Files_Python_in_Excel.zip

25 KB

📦 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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NLP - Natural Language Processing with Python

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

🔊 Taught By: Jose Portilla, Pierian Training

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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

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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.

📖 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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1. Course Overview.zip

2.7 MB

2. Utilizing Built-in Containers.zip

140.8 MB

3. Improving Efficiency with Advanced Dictionaries.zip

49.3 MB

4. Using Specialized Collection Classes.zip