Python-Libraries,Numpy,Pandas,Matplotlib.pptx

Python-Libraries,Numpy,Pandas,Matplotlib.pptx

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  Python Libraries Presented By NellaiammalS Junior Engineer
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  Agenda 1. Python 2. Introductionto Python Libraries 3. Features of Python Libraries 4. Popular Python Libraries 5. Matplotlib 6. Numpy 7. How to install and import Python Libraries? 8. Conclusion and Resources
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  Python Python is ahigh-level programming language known for its simplicity and readability. Features of python: 1. Easy to learn syntax 2. Interpreted language 3. High level language 4. Dynamic typing 5. Large standard library 6. Versatility
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  Introduction to Python libraries Pythonlibraries are collections of pre-written code that provide a wide range of functionality, from data analysis to web development and machine learning.
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  Features of Pythonlibraries 1 Extensive Functionality Python libraries offer extensive functionality to perform various tasks, making it a versatile programming language. 2 Reusability They allow for code reuse, enabling developers to save time and effort in writing programs by using existing modules and libraries. 3 Community Contributions Contributions from a supportive community ensure a broad array of high-quality libraries available for various purposes.
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  Popular Python librariesfor Data Analysis Pandas A powerful data manipulation and analysis library, widely used for handling structured data. NumPy An essential library for scientific computing and numerical operations, including support for large, multi-dimensional arrays.
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  Popular Python librariesfor Web Development Django A high-level web framework known for its clean design and efficient handling of web development tasks. Matplotlib A comprehensive library for creating static, animated, and interactive visualizations in Python.
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  Popular Python librariesfor Machine Learning TensorFlow An open-source software library for dataflow and differentiable programming across a range of tasks. Scikit-learn It provides tools for machine learning, including algorithms, models, and preprocessing techniques.
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  Matplotlib Matplotlib is apopular Python library used for creating static, interactive, and animated visualizations in Python. It provides a wide variety of plotting functions and customization options, making it suitable for a broad range of data visualization tasks. Features: • Plotting • Customization • Multiple plotting styles • Animation • Wide adoption and community support
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  Example: import matplotlib.pyplot asplt x = [1, 2, 3, 4, 5] y = [2, 3, 5, 7, 11] fig, ax = plt.subplots() ax.plot(x, y) ax.set_title('Simple Line Plot') ax.set_xlabel('X-axis') ax.set_ylabel('Y- axis') plt.show()
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  Output: The plt.subplots() functionis used to create a new figure (fig) and axis (ax). A figure represents the entire window or page where the plot is drawn, while an axis represents an individual plot within the figure. The ax.plot() method is called to plot the data x against y. The ax.set_title(), ax.set_xlabel(), and ax.set_ylabel() methods are used to customize the plot by setting a title, x-axis label, and y-axis label, respectively. Finally, the plt.show() function is called to display the plot on the screen.
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  Numpy NumPy is apowerful library for numerical computing in Python, providing essential data structures and functions for performing a wide range of numerical computations efficiently. It is widely used in various fields such as scientific computing, engineering, machine learning, data analysis, and more. Features: • Multi dimensional arrays • Efficient numerical operations • Indexing and slicing • Random number generation • Memory efficiency and performance
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  Example: import numpy asnp arr1 = np.array( [1, 2, 3, 4, 5] ) result_addition = arr1 + 10 result_subtraction = arr1 - 3 result_multiplication = arr1 * 2 result_division = arr1 / 2 print(arr1) print(result_addition) print(result_subtraction) print(result_multiplication) print(result_division)
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  Output: • We firstimport NumPy as np. • We create a NumPy array, arr1 , using the np.array() function. • We perform basic arithmetic operations (addition, subtraction, multiplication, and division) on arr1.
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  How to installand import Python libraries Install Using pip Python libraries can be installed using the pip package manager, with simple commands like pip install library-name. Import in Python Code After installation, libraries can be imported into Python code using the import statement, such as import library-name.
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  Conclusion Python libraries playa crucial role in enabling developers to efficiently tackle a wide range of tasks across different domains. Throughout this presentation, we've explored several essential Python libraries and their applications. Whether you're analyzing data, building machine learning models, creating visualizations, or developing web applications, Python libraries provide the tools you need to succeed. Python continues to empower developers worldwide to innovate and solve real-world problems. Embrace Python libraries, and unlock the full potential of your projects.