Why to Transit: MS Excel to Python
Microsoft Excel is easy to go for any data-driven solution. The user almost no need to have programming skills to develop the data solution. MS Excel is deeply rooted across the globe. All the statistical, financial, mathematical, customize formulae options are available in Excel. Even some times people use Excel as a database to store the records. Excel's accessibility played a vital role in its success.
Today around 50 billion devices are connected globally so obviously the data size is growing exponentially like never before. We need such technology platforms that will support a large amount of data processing. Here Excel lags, Excel workbook limit is 1,048,576 rows. Excel gets slow down for size 70 – 100 MB data file.
Multiple Platforms: Today the solution accessibility is crucial. Cell Phones, Tab, laptops/Desktop are some platforms. The Excel solution faces challenges with these multiple platforms. For Excel, the user experience is not consistent across the platforms. To overcome these challenges, we need to look for something else.
Python is the optimal choice for these challenges. The python has the largest packages ecosystem of 120K +. It has a rich IDE ecosystem such as Anaconda, Atom, Visual Studio (VS), and many more. With the advent of cloud services such as AWS, GCP, Azure we can easily leverage them to build the solution. Pandas, numpy, matplotlib, scipy, seaborn are powerful packages to build robust solutions.
The choice of python brings plethora of career opportunities in data science, software application, game, language, operating development developments. Especially in artificial intelligence, you can easily proceed with any area specialization such as machine learning, deep learning & reinforcement learning. You only need to learn that specific framework/package (s). For example, nowadays the web scrapping is making a buzz, if you are aware of the basics of python you can easily join the profile by learning packages such as beautiful soup, scrapy, etc.
Stack of advantages for choosing Python over other programming languages such as user-friendly data structures, availability of third-party modules, open-source, secure, platform-independent, interactive, modular, high productivity, extendable to C, C++, JAVA, etc. A recent report shows that python is the 2nd largest used programming language all over the globe. Top tech companies are actively investing in python research & development. For Example, Facebook has developed the PyTorch package for their internal AI solution development and later on made it open source.
Conclusion: It's worth investing time, energy & money to learn python to make a future-proof career.