"The design philosophy emphasizes code readability with the use of significant indentation."
Basics of programming with Python, including data types, loops, functions, and control flow.
Python Basics: Learning the basics of python includes understanding the syntax and semantics of python programming language. It includes basic data types, loops, control statements, functions, and basic I/O operations in python.
Object-Oriented Programming: OOP is a programming paradigm which uses objects and its interactions for computation. Understanding OOP concepts like encapsulation, inheritance, and polymorphism is crucial to write efficient and reusable code.
Algorithms and Data Structures: Algorithms and data structures are fundamental concepts in computer science that are essential for efficient and optimized coding. Topics like sorting algorithms, linked lists, trees, and graphs are some of the essential topics that one must learn.
Numpy: Numpy is a python library for scientific computing which provides various tools for matrix manipulation, numerical operations, and Data Analysis.
Pandas: Pandas is a python library for data manipulation, specifically for working with structured and tabular data.
Matplotlib: Matplotlib is a python library used for data visualization purposes. It provides a variety of visualizations such as bar charts, pie charts, and histograms.
Scikit-learn: Scikit-learn is a python library used for machine learning tasks like regression, classification, and clustering.
Deep Learning: Deep Learning is a subset of machine learning in which artificial neural networks, algorithms designed to simulate the human brain are used to provide insights and solve complex tasks. Learning the essential deep learning concepts is essential when working on AI-based projects.
Natural Language Processing: Natural Language Processing is a field of study that focuses on making machines/computers understand human language. It is used for tasks such as Language translation, Sentiment Analysis, and text classification.
Image Processing: Image Processing is a processing technique that converts an image into a digital form and performs operations on it, to enhance its quality, extract information, and detect features. It is the basis for computer vision and is essential for AI-based image recognition and analysis.
Supervised Learning: It is a type of machine learning in which an algorithm learns from labeled data.
Unsupervised Learning: In this type of machine learning, algorithms learn from unlabeled data.
Reinforcement Learning: The algorithm learns through rewards and punishments based on its actions.
Deep Learning: This type of machine learning uses artificial neural networks to obtain better accuracy in machine learning models.
Natural Language Processing: It is a subfield of AI that focuses on processing and understanding natural language data.
Computer Vision: This is a subfield of AI that deals with developing algorithms for visual data processing and understanding.
Robotics: It is an interdisciplinary field that involves programming and controlling robotic devices to complete tasks autonomously.
Neural Networks: It is a type of machine learning that uses a neural network model to learn from data.
Genetic Algorithms: This is a type of optimization algorithm based on the principles of natural selection and genetics.
Fuzzy Logic: Fuzzy logic is a type of mathematical logic that deals with uncertainty and incomplete information.
"Python is dynamically typed and garbage-collected."
"It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming."
"It is often described as a 'batteries included' language due to its comprehensive standard library."
"Guido van Rossum began working on Python in the late 1980s."
"Its design philosophy emphasizes code readability with the use of significant indentation."
"Guido van Rossum first released it in 1991 as Python 0.9.0."
"Python 2.0 was released in 2000."
"Python 3.0, released in 2008, was a major revision not completely backward-compatible with earlier versions."
"Python 2.7.18, released in 2020, was the last release of Python 2."
"Python consistently ranks as one of the most popular programming languages." For the remaining questions, the provided paragraph does not specifically mention them.