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Speed Up Python Projects With This Research Trick

 Real Python

From our podcast, episode 236 with Simon Willison. coding programming python LearnPython pythonprogramming softwareengineer softwaredeveloper software softwaredevelopment PythonPodcast gpt ai

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5 Best Udemy Courses for Azure Developer Associate Exam in 2025 (with Practice Tests)

 Javarevisited

My favorite Udemy courses to prepare for Azure Developer Associate Exam in 2025 Hello guys, in this AI age of Software Development, Cloud computing has become an essential skill for developers, and M...

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Kubernetes Basics: Understanding DaemonSets — Part 9

 Javarevisited

In Kubernetes, some workloads must run on every cluster node. This is where DaemonSets come into play. A DaemonSet ensures that a specific Pod runs on all (or some) nodes, making it useful for system ...

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Learn Python

▶️ Basic Functions
Syntax | Variables | Conditions | Data Types | Numbers | Strings | Formatting | Operators | Generators | Decorators | Functions | Lists | Tuples | Sets | Dictionaries | Parameters | Arguments | Arrays | Linked Lists | Hash Tables | Binary Search Trees | Recursion | Sorting Algorithms | Exception Handling | Serialization 

🚀 Advanced Functions
RegEx | Decorators | Lambdas | Iterators | Classes | Inheritance | Methods | List Comprehensions | Generator Expressions | PyPi | PIP | Conda

💠 Frameworks
Django | Flask | CherryPy | Bottle | Dash | | PyTest | Scrapy | PyScript

🗂 Libraries
TensorFlow | Scikit-Learn | Numpy | Keras | PyTorch | SciPy | Pandas | Theano | Seaborn | OpenCV | Bokeh | Matplotlib | Plotly | BeautifulSoup | SymPy | Pillow

🧰 Other Tools
Selenium | PyCharm | PyTest | Jupyter Notebook | FakerPyGame | Tkinter 

 

Learn Data Science

▶️ Basics
Linear Algebra | Databases | Tabular Data | Time Series | Extract, Transform, Load | Data Formats | Regular Expressions | Important libraries |

💻 Programming languages for Data Science
SQL | R | Python

🐍 Python for Data Science
Syntax | Variables | Data Types | Functions | Numbers | Operators | Important libraries

🔁 Data Sources
Data Mining | Web scraping | Public Data Sets

📊 Exploratory Data Analysis
Principal Component Analysis | Dimensionality Reduction | Normalization | Data Cleaning | Estimators | Feature Extraction | Sampling

🔢 Statistics
Probability Theory | Continuous Distribution | Summary Statistics | Estimation | Hypothesis Testing | Confidence Interval | Monte Carlo Methods

📈 Data Visualization + tools
Storytelling | Charts | Dashboards | Power BI | Tableau | R | Dash | Seaborn | Matplotlib | Bokeh | Plotly

 

Learn Machine Learning

Learn Deep Learning