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. Y...

I know I am not the only person out there whose journey into software engineering was delayed because I just didn’t know where to start. The plethora of resources provides an incredible opportunity but also can make embarking on the first steps intimidating. For those of you thinking of taking those first steps, or who are in those first steps, here are 10 things that I wish I had known before I began. 1. Choosing a Language is Important There are a multitude of programming languages out there. Each language has its strengths, its weaknesses, and situations in which it is best suited. While your first language will almost certainly be the hardest to learn and many of the most basic fundamentals will be similar across languages (variables, iteration, etc), it is worth the time and effort to do some research and decide which language you want to start with. Ease of programming is something that should certainly be considered. Be honest with yourself about how confiden...

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 Pytho...

No. Just Python will not be enough to land a job.  You need 5 more things. . 1. Companies don’t hire a Python dev. They hire a problem-solver. If you have learned X and can’t do Y with the concepts you learned from X, you will not get hired. It’s impossible to know what problems you have to solve when you get hired or what problem you will be solving 2/3 years from now. That’s why companies look for people who can take any problem and solve it by using coding techniques. For example, you have learned the dictionary data structure. Now, if I give you a new situation (car dealership, book club, grocery store, or bank software, etc.) and you don’t know how to use the dictionary data structure in that situation, you will not get hired. So, Don’t just learn coding. Pay attention to why you are doing certain things. What else you could do to solve the problem. Solve as many problems as possible. If you are beginners, check out  Programming Hero  to learn and mas...