Python is a programming language which is an ocean of basics to advanced libraries useful to perform machine learning algorithms using artificial intelligence techniques on different academia and industry models. To perform such an algorithm, one needs to have a sound knowledge of the programming language.
Python is a most powerful and an advanced programming language used in many different industry centric domains to perform high end technology oriented performances. It has replaced many other programming languages with its user-friendly interface.
With this, python has amazingly huge collection of libraries such as :-
- Numpy
- Pandas
- Matplotlib
- Seaborn
- PyTorch
- SciPy
- TensorFlow
- Scikit-Learn
- Keras
Python helps students, academicians and industry persons to perform different algorithms of artificial intelligence using “Kaggle” multiple datasets on healthcare, sports, manufacturing, retail etc. Python is considered to be an all time favorite and user friendly interactive development environment interface for students who are new to the programming field. The syntax is easy to understand and performs big data analytics using advanced libraries at a quick and fast pace. Python helps to extract live data from different social media platforms such as Twitter, Instagram, Facebook etc. using authenticated API keys and also helps in performing different machine learning models such as linear regression, logistic regression, clustering, neural networking, sentiment analysis, text mining etc.
To understand businesses, organizations nowadays are transforming towards business intelligence which is the foundation to technology centric workspaces and leading to become industry experts. Data visualization and data analysis with simple syntax and calculations working on missing data, creating different variable factors and filtering values to associate with building models using python has been highly influential in different workspaces. Being an open source and cross-platform language has become very popular among different industries.
For analytics, Jupyter is used which is an interactive human readable computing platform for developing different notebooks using syntax. Jupyter notebooks can be started by installing anaconda. Anaconda is the most widely and highly used distribution for working on python. Within Jupyter, Notebooks are used which contain analytical description and high end visualization using libraries such as plotly and cufflinks to perform notebook within notebooks for in depth visualizations of graphs. Notebook is a fast, incredible tool and easily accessible document on which many high end programmers, students, academicians, freelancers and industry people work on performing high end data science projects which can be worked on the local machines. Notebooks are a major part of data science workspaces for multiple organizations. It helps better to program many coding projects using multiple libraries with versatile data visualizations outlook. Within the notebook, there lies a kernel which helps in executing the codes contained in the notebook document. Therefore, when a notebook document is opened, the kernel is automatically executed.
Many organizations such as Netflix, Spotify, JP Morgan use Python for being high end technological workspace, easy accessibility and for its flexibility.
Following projects on Python can be worked on such as :-
· Prediction of cricket player scores as per his past performances
· Weather prediction using time series analysis techniques with different models such as autoregressive integrated moving average etc.
· Visualizing of election polling results and its trends throughout
· Analyzing twitter tweets using different hashtags with sentiment analysis techniques
· Automatically summarizing and visualizing news articles using text mining
Python is the language of everyone in today’s era. With the digital world optimizing resources to establish automation globally, a new wave towards user friendly, integrated, portable programming language has been the need of the hour today. Proficient in Python lands a wide variety of job holding a profile such as business analyst, data scientist, data engineers, big data analyst in best of the best organizations across globe.
So, let’s get started to build a community of python experts to help industry and academia in various domains as it’s free, open source, easy to learn (with no coding experience). The journey with us will let you explore your coding insights into understanding of multi-dimensional big data in billions emerging every day from various industries as well as social media platforms. We will help you to explore different libraries of python useful for multiple AI techniques and help you build projects for enhancing your technical and analytical skills. We conduct different workshops, guest lectures, seminars on analytics which eventually help our students to learn analytics using different tools. Be a part of this journey to learn and grow with us in the field of analytics.
For more information visit : https://www.jagannath.org/
