Python, a programming language that is extremely versatile, is coveted by software engineers and data scientists alike. Python can be used for general purpose and interpreted programming. Python can be used in many areas, including web development, software scraping, data science and machine learning.
This versatility is why Python has become the most popular language in 2021.. We will be discussing the structured roadmap that is required to make a Python developer a success. In this blogpost, we will discuss the following:
Why become a Python programmer?
What is the best way to get started as a Python developer. Liste of Python projects Why should you become a Python programmer? Learning Python is a great way to start your programming career. Python’s simple syntax and easy readability make it very accessible. Both beginners and intermediate programmers can easily learn the language. Python has a broad range of libraries and analytical abilities. Programmers can spend more time developing different applications because Python is a general-purpose programming language.
Python makes it possible for developers to create fewer lines in code when programming requires more code in other languages. Python code is three to five times faster than Java programs, and takes much longer to create. Other factors include: Python is open source and free for all platforms. It’s the most productive language. It also has many built-in frameworks and libraries.
Many organizations, such as Google, Facebook and IBM use Python to perform a variety of tasks, including software development, Machine Learning and Web Development.
You can see how valuable Python is by looking at its increasing popularity. What is the best way to learn Python? We will begin with the essential skills and computer basics you need to be a Python programmer
Git Git is the most widely used version control system. Git, an open-source and free program, is used to track changes, develop, manage, and report on the source code.
You can find more information about Git at the following links: Version Control With Git (Coursera), Version Control With Git(Udacity), Learn Git [Codecademy] Git Documentation 2. Linux Command Line Basics The Linux command line is an important thing for every programmer to know. It is worth spending some time to learn the basics of these commands. If you want to be a Python programmer, these commands will come in handy.
You can find these resources to help you learn Linux Commands free of charge — Linux Command Line Basics (Udacity), Linux Command Line Basics for Beginners (Ubuntu), Linux Command Line Basics Basics (Udacity). GitHub Did you know almost all recruiters today require a GitHub account?
This is a great place to showcase your talents and build an online portfolio. Having a GitHub account will help you stand out among the rest.
When you submit your application for certain roles, such as web developer, data scientist or ML engineer, your GitHub profile will be the first to be reviewed by recruiters. This profile gives recruiters a glimpse into your problem solving skills and coding ability. A well-maintained and up-to date GitHub profile will help you stand out. GitHub skills are a great asset and will allow you to succeed professionally.
Millions use GitHub for sharing code and building an online portfolio. This blog, along with the following courses will help you learn about GitHub. These topics are essential to understand Python programming basics. Hello World! With Python 3 Basic Syntax code Editors such as Vim, Jupyter Notebooks, Google Colab and Atom.
How to Learn: Indentation loops, logical operators Data types and variables operators Strings and numbers Conditional statements and type transformation Functions and Built in Functions Learning Python is easy with the many resources available. There are millions of resources available online that can help you learn Python.
You can find many free resources online to learn Python. These are essential blocks for any programming language. DSA is essential for software development as well as coding interviews. You should know these topics to master DSA: Arrays, Linked Lists Binary search Trees, Recursion Python Listings Tuples. Mastering Python Data Structures And Algorithms (Jovian.ai). Intro to Python Data Structures (Udacity).
Data Structures with Python (Geeks for Geeks.
After completing the Python DSA we will be moving on to more advanced concepts. These topics are: Object-Oriented programming methods Functional Programming Inheritance, Decorators Lambda Functions Decorators Regular expressions.
You can learn advanced Python from the Complete Python 3 Course: Beginning to Advanced by downloading these resources. (Udemy).
Modules and Packages. I/O operators and File Handling. After we have completed advanced concepts, it will be time to move on to modules, packages and file handling.
These topics include — Numerical Modules (Random Modules), Counter, Sys Modules defaultdict and OrderedDict Modules Pip, PyPI packages and DateTime, Calendar Modules Read/Write Files In Python Rename/Copy/manage files in Python OS Modules Zpping Files And Directories.
Python is versatile. Here are just a few of the many areas that Python and its frameworks can be used for. Once you have mastered the concepts above, it is possible to pick a career that suits your interests. Path 1 — Towards Data Science
