MUGOYA DIHFAHSIH

A realistic roadmap to becoming a Python developer This is a highly opinionated, pseudo-motivational, unconventional and almost rant-like developer roadmap article. This article is more than a compilation of best books/videos/courses to learn Python and covers the bigger issues that a beginner/early-intermediate faces on their journey. These are the undocumented problems Stack Overflow does not solve. Why Python ? Why should you learn Python anyway? Why not one of the 20 other languages trending right now? As you’re beginning your journey, this questions crops up multiple times (a day). Picking your first programming language is a lot like picking a starter pokemon. The inherent capabilities of a language are less significant than the skill of the programmer in using said language and their grit to make it into the big league. If you want to start with a different language, do yourself a favor and stop reading this article. You’ll hav

Learn Python for Data Science – 9 Essential Steps to become a Python developer How to Learn Python for Data Science If you’re reading this, you’re probably aware of the fact that Python is a general-purpose and very powerful programming language. It is used everywhere from scripting and web development to data science and machine learning. But what makes it a good choice for the same, and how can we  master Python programming  to get started with data science? Let’s find out. Why learn Python for Data Science? Python has a great set of libraries geared towards Data Science, like Pandas, NumPy, SciPy, Matplotlib, scikit-learn, TensorFlow, and Seaborn. These make work easy and let you focus on more important things. It is also very readable and has a simple syntax. Python is also open-source and has a very large community constantly involved in improving it. If you want to make a career in Data Science, Python is a good start; many data scientists begin with Python.

In contemporary times,  126,424 websites  are made using the python programming language. Many top-notch companies have developed successful apps by using it. This is why it is considered  the language of today and the future . Python might not had bright years in the past since its launch in 1991 but it has seen a constant and remarkable trend of growth in the 21st century. This stack overflow graph of  major programming languages'  growth clearly depicts the steady upliftment of the PYTHON! The growth rate of python was not something easy to achieve. There are various attributes of this programming tool which has provided it with an amazing successful journey. Python has a major role in the latest technologies of current and future times like ML and AI.  Looking at the bright scope of these technologies which are heavily supported by python codes, many people wonder,  “Is python the future of programming?” Before giving a shot to answer this question, I would like to