Table of Contents
Even though it is 2021, we still can’t get enough of Python as a programming language. Python is the most common language that helps in web development, web scraping, data science, and much more. This Python developer roadmap is a guide to developers to kick-start their Python careers. This guide is a well-defined roadmap for Python developers at the beginning and intermediate levels.
Do you want to learn Python programming but aren’t sure where to begin? You’ve come to the right place. This blog shows you everything you need to know about becoming a python developer. Let’s get this game started.
Python Foundation
If you have no prior knowledge of Python Programming, you should start with the basic foundation course. Certainly, the course should include fundamental programming in Python, writing and calling functions, exception handling, and sequences like List, Tuple, and Set. In addition to that, you can also learn iterating through sequences, working with dictionaries, conditional statements, and loops.
Terminal/Command Prompt + Git/GitHub
A Python workflow template is available on GitHub that should fit with most Python projects. Moreover, you can see the Python workflow prototype for more details. Connect the template to your repository’s .github/workflows directory to get started quickly.
Topics To Learn In GitHub
- Basic Bash Commands
- Git Basics
- GitHub Basics
- Source Control
Advanced Python
Becoming an expert in any field takes time, hands-on experience, and effort. Likewise, you will need a lot of practice to get expertise in any programming language’s advanced features.
Advanced Python Topics To Learn
- Methods
- Inheritance
- Decorators
- Functional Programming
- Lambda Functions
Popular Libraries
A Python library is a reusable code snippet that you can use in your programs and projects. In contrast to C++ or C, Python libraries are not tied to any particular context. Indeed, a ‘library’ is a loose term that refers to a set of core modules.
There are over 137,000 Python libraries. In addition to it, several Python libraries help you build machine learning, data science, data visualization, image and data manipulation, and other applications.
Python Libraries To Try
- Tkinter
- Requests
- Pillow
- PyQT
- Pygame
Web Scrapping
Web scraping is a concept that refers to the process of collecting and processing massive data from the internet using software or algorithm. Certainly, scraping data from the web is a valuable skill to have if you’re a data scientist, programmer, or someone who analyses huge quantities of data.
Python is an effective web scraping programming language. Similarly, you don’t need to learn complicated codes if you’re a Python expert who can do multiple data crawling or web scraping tasks. However, the three most well-known and commonly used Python frameworks are Requests, Scrappy, and BeautifulSoup.
Web Development
Python is the most well-known software development language in the tech industry due to its efficiency and performance. Using Python for web development has several benefits that are useful to both developers and entrepreneurs. It embraces the latest web application trends, including Progressive Web Apps (PWAs), integrated animations, and other impressive features. When it comes to Python web development, its remarkable web frameworks take credits such as Django, Flask, and others.
Python Web Frameworks To Learn
- Django
- Flask
- Zappa
- Dash
Scripting
Python is a scripting language because it uses an interpreter to translate and run its code. Moreover, a Python script can be a command that runs in Rhino, or it can be a collection of functions that you can import as a library of functions in other scripts.
In web applications, experts use Python as a “scripting language.” Because it can automate a specific set of tasks and improve performance. As a result, developers prefer Python for building software applications, web browser sites, operating system shells, and some games.
Python Scripting Tools To Try
- DevOps: Docker, Kubernetes, Gradle, etc
- System Admin
Ethical Hacking
Ethical hacking is the process of using sophisticated tools and techniques to detect possible threats and vulnerabilities on a computer network. Python, one of the most common programming languages due to its large number of tools and libraries, is also used for ethical hacking.
It is so commonly used by hackers that there are a plethora of different attack vectors to consider. Also, it only takes little coding knowledge, making it simple to write a script.
Python Hacking Tools To Try
- SQL injection
- Session hijacking
- Man in the Middle
- Networking
- IP Adress
- Exploitation
Machine Learning/Data Science
Smart developers always prefer Python for machine learning due to its innumerable benefits. Python’s resourceful libraries are one of the main reasons to choose Python for ML or deep learning. Also, Python’s data handling capacity is great despite its speed.
Being very supportive of ML and AI, Python is now getting more traction from other industries such as travel, Fintech, transportation, and healthcare.
Python Machine Learning Tools To Practice
- Tensorflow
- PyTorch
- Keras
- Scikit-learn
- Numpy
- Pandas
Python is a programming language that has gained popularity and is in high demand. Moreover, Python developers’ demand has skyrocketed today, necessitating data science with Python training. So, if you have the opportunity to engage in entity-related charts and enjoy adventure thoroughly, this work makes you lucky in this field of programming.
To conclude, this Python developer roadmap enables a developer to succeed in Python programming if you attain the knowledge and a basic understanding of the field.
