Introduction

To start,Python is one of the popular,widely used programming languages among various industries. The popularity of Python is increasing exponentially in recent years. Python libraries are essential and increase the success of Python programming.It covers a wide range of areas to address specific tasks or problems.In this article, Let’s explore the top 10 Python Libraries you must learn in 2024.

Python

In 2024,the Python ranking is expected to rise by 50 percent.Python is the most popular and preferred programming language due to the availability of many industries. If you are interested in learning programming languages, Python is the best career option. To learn more about Python, join our Python training course today.

Python libraries

Python library is a collection of pre-written Python code that can be used in the Python programs. It provides a set of pre-built functions, modules, and classes to perform common tasks.Python libraries are developed and maintained by a community of developers and are available for free. They are easy to use, with well-documented APIs that are easy to understand and use the library.

Advantages of Python libraries

• Increased productivity
• Reusability
• Improved performance
• Access to advanced functionality
• Community support

Top 10 Python libraries to learn are:

• Pandas
• NumPy
• TensorFlow
• Keras
• Scikit Learn
• PyTorch
• SciPy
• Eli5
• Theano
• LightGBM

Pandas

Pandas is a popular open-source python library for managing datasets. It provides data structures for storing and manipulating large datasets. Pandas is the best tool for data cleaning, aggregation, and analysis.This popular library is widely used in the field of data science,Machine learning.

Advantages of Pandas:

• Powerful data manipulation
• Efficient and fast
• High-level interface
• Data visualization
• Flexible Input/Output options

Pandas

NumPy is the widely used numerical computing library. It provides a wide range of mathematical,statistical functions and scientific computation. NumPy helps to achieve quick computation and supports multidimensional data.It is the best choice for performing data analysis.NumPy is used by full stack developers,data scientists to perform in AI and Machine learning field.

Advantages of NumPy:

• Fast numerical computations
• Multi-dimensional arrays
• Broadcasting mechanism
• Mathematical and statistical functions
• Integrate with other libraries

Pandas is a popular open-source python library for managing datasets. It provides data structures for storing and manipulating large datasets. Pandas is the best tool for data cleaning, aggregation, and analysis.This popular library is widely used in the field of data science,Machine learning.

Advantages of Pandas:

• Powerful data manipulation
• Efficient and fast
• High-level interface
• Data visualization
• Flexible Input/Output options

NumPy(Numerical Python)

NumPy is the widely used numerical computing library. It provides a wide range of mathematical,statistical functions and scientific computation. NumPy helps to achieve quick computation and supports multidimensional data.It is the best choice for performing data analysis.NumPy is used by full stack developers,data scientists to perform in AI and Machine learning field.

Advantages of Pandas:

• Fast numerical computations
• Multi-dimensional arrays
• Broadcasting mechanism
• Mathematical and statistical functions
• Integrate with other libraries

TensorFlow

TensorFlow is an open-source software library for numerical calculations.It is used to perform dataflow and differentiable programming.TensorFlow can perform linear algebra computations. It is suitable for building and training deep learning models.TensorFlow is frequently updated and backed by Google.

Keras

Keras is a high-level neural networks API, written in Python and capable of running on top of several lower-level deep learning frameworks such as TensorFlow, Theano, and Microsoft Cognitive Toolkit. Keras is designed to make it easy to build and train deep neural networks, and it is widely used in industry and academia for a wide range of applications, including computer vision, natural language processing, and more.

Advantages of Keras:

• Simple and intuitive API
• Modular and flexible
• Portable
• Easy to preprocess analyze and visualize outputs
• Pre-trained models with minimal effort

Scikit Learn

Scikit-learn is a popular open-source machine learning library. It provides tools for data preprocessing, feature selection, model selection, and model evaluation. Scikit-learn supports a wide range of machine learning algorithms. It is used for predictive modeling, data mining, and pattern recognition.

Advantages of scikit-learn:

• To build and evaluate machine learning models
• Wide range of machine learning algorithms
• Integrates with other scientific computing libraries
• Robustness
• Extensive documentation

PyTorch

PyTorch is an open-source machine learning library.It is primarily used for developing deep learning models. PyTorch is built on top of the Torch library. It provides a dynamic computational graph.PyTorch allows flexible and efficient deep learning model.It provides easy-to-use interface for debugging deep learning models.

Advantages of PyTorch:

• Dynamic computational graph
• Easy debugging
• Flexible API
• GPU acceleration
• Actively developed library

SciPy

SciPy is an open-source scientific computing library.It provides tools for scientific and technical computing.SciPy also supports numerical integration, optimization, linear algebra, and more. It builds on the NumPy library and ensures additional functionality for scientific computing.

• Comprehensive set of tools
• High performance
• Efficient algorithms
• Built-in support for parallel computing
• Fast computation

Eli5(Explain Like I’m 5)

ELI5 is a Python library that helps to interpret the predictions by machine learning models. It provides interfaces for interpreting the machine learning model decisions.ELI5 allowing users to understand how the model works and why it makes certain predictions.

Advantages of ELI5:

ELI5 is a Python library that helps to interpret the predictions by machine learning models. It provides interfaces for interpreting the machine learning model decisions.ELI5 allowing users to understand how the model works and why it makes certain predictions.

• Model interpretation
• Easy-to-use interface
• Integration with other Python libraries for machine learning
• Visualization

Theano

Theano is an open-source numerical computation library.It is used for developing deep learning models. Theano provides an efficient and flexible way to define and optimize mathematical expressions.It involves multi-dimensional arrays, efficient computation on both CPUs and GPUs.

Advantages of Theano

• High performance
• Flexible and expressive
• Easy debugging
• Seamless data preprocessing and analysis
• Active development

LightGBM

LightGBM is an open-source gradient boosting framework. It uses tree-based learning algorithms for efficient large-scale machine learning. LightGBM is written in C++ and provides Python APIs for easy integration.It is well-suited for large-scale machine learning tasks.

• High-speed
• Scalable machine learning
• Handle large datasets
• Accuracy
• Flexibility

Python training

To master Python programming, Credo Systemz is the best platform.Python training courses are exclusive professional training programs using industrial trainers.The course focuses on developing industrial programming skills with Real time practical approach.Credo Systemz offers the Python Training with 15+ live Projects and Free Placement Support.Learn Python along with your preferred python libraries and start your career path.

Conclusion

Overall, Python is one of the best programming languages with a wide range of python libraries.It is most preferred in trending technologies using library support.Select the appropriate python libraries based on your career choice, area of interest,market demands and growth.Access support from our career counselors to join the course which is suitable for you.Python is the worthy career choice to learn along with the libraries in 2024.