Important Topics in Python
1. Learn Syntax and Basics First start with the installation of Python in your system. Just visit Python’s official site, download the latest version and you are good to go. Once the installation has been completed, you may use IDLE to write and run Python code. Now we are going to list out some topics to start with learning Python. It will take almost 1 – 1.5 weeks to cover all the basic stuff still it depends on your learning process.
- The Python shell, basic arithmetic.
- Control structures.
- Accepting user input, Strings & Typecasting.
- Looping in Python: For & While loops.
- Exception handling.
- Functions, modules & Imports.
2. OOPs Concepts, Built-in Data Structures, and Other Stuff This section will be a bit tough especially if you don’t know about object-oriented programming concepts. Take the help of some resources which we have mentioned and with some practice, you will be able to understand the concepts. These concepts will be widely used in making complex applications so understand these topics very well. It may take 1 – 1.5 weeks to learn.
Once you mastered the above topics and practiced enough every topic it’s time to build something out of it. Python has a good collection of modules, packages, libraries, and frameworks that you may use for various applications. So instead of building everything from scratch use frameworks & libraries available in this language. It will be easier for you to build something using these frameworks and libraries. Pick up the framework or libraries as per your end goal (Web development, desktop-based applications, etc.)
3. Frameworks for Web Development There are so many frameworks for web applications in Python some of them are Django, Flask, Bottle, Tornado, and Pyramid.
- Django: A high-level web framework mostly used in startups and enterprises for web development. It follows the MVC pattern and you can use multiple databases such as PostgreSQL, MySQL, SQLite, and Oracle. If you are a complete beginner and not aware of the terminology authentication, URL routing, API and models then you will feel a lot of pain while learning Django but take your time, have patience, go through some more resources and understand each line of code. Slowly and gradually you will understand everything. Learning Django may take 2 – 2.5 weeks.
To learn Django you can visit : Django GFG
- Flask: Flask is one of the easiest microframeworks to learn in Python. If you wish to develop a simple and lightweight web application then Flask is suitable for that. It is not as powerful and extensive as Django but still provides features such as support for unit testing and building REST APIs. Learning Flask will take 1 – 1.5 weeks.
4. For Building Desktop Applications Tkinter, PyQT, Kivy, WxPython, or PyGUI libraries are very good for building desktop-based applications.
- Tkinter: Tkinter is an open-source library and it allows you to build desktop GUI applications using Python. Learning Tkinter is simple and provides a graphical interface. It will take around 1 week to learn Tkinter.
- PyQT: PyQt is one of the most powerful cross-platform GUI libraries owned by Nokia. It combines Python programming and the Qt library. It can be used to design graphical user interfaces for a desktop application.
- Kivy: It can be used to create desktop applications also it supports platforms like Android, iOS, Linux & Raspberry Pi.
5. For Data Analysis Numpy, Pandas, Seaborn, Bokeh, SciPy, and Matplotlib these libraries are good for data analysis. These libraries are helpful for those who want to become data analysts/ data scientists. Learning Numpy or Pandas will take around 1 week.
- Numpy: It is an array-processing package and provides a high-performance array object. It is widely used for scientific computing with Python and provides essential features.
- Pandas: Pandas is also a very good open-source library that is used for data analysis. It provides high-level data structures (such as DataFrame) and a vast variety of tools for analysis. It also can translate complex operations into a few commands. Using this library, data manipulation becomes a much easier task.
6. For Machine Learning:
- TensorFlow: Most popular deep learning library developed by Google. It is a computational framework used to express algorithms that involve numerous Tensor operations.
- Scikit-Learn: A machine learning library for Python, designed to work with numerical libraries such as SciPy & NumPy.
- PyTorch: It can handle dynamic computation graphs on the go. It also provides easy to use API.
Best Way To Start Learning Python – A Complete Roadmap
Python…The world’s fastest-growing and most popular programming language not just amongst software engineers but also among mathematicians, data analysts, scientists, accountants, network engineers, and even kids! because it’s a very beginner-friendly programming language. People from different disciplines use Python for a variety of different tasks, such as data analysis and visualization, artificial intelligence and Machine Learning, automation, etc. You can write Python scripts to automate a lot of boring tasks such as copying files and folders, renaming them, and uploading them to a server. Python is not just used by software developers but also it is used by other professionals to automate their tasks and make their life easier. Python is a multi-purpose language, you can use Python to build web apps, mobile apps, and desktop applications as well as software testing and even hacking.
All the above reasons are enough to tell you why Python is the most popular language among programmers and why you should learn it. Now the question is how to learn Python? where to start Python? how to become a Python developer? How much time it will take to learn Python? what topics you should cover while studying Python? what are the Python libraries or frameworks? As a beginner, you will be confused about what should I choose first. Should I learn all the concepts from a book or should I go for an online tutorial? Let’s discuss the entire roadmap to becoming a Python developer.