Reasons to Learn Python for Beginners
The Python programming language is popular for a number of reasons.
We summarize some of the reasons why learning Python is profitable for those of you who want to start a career in the programming world.
- Python programming language has a simple syntax that almost resembles everyday human language so that it is easier to read and understand. With Python, programmers can make programs faster and easier.
- Multipurpose. Python can be used for many different tasks, from web development to machine learning (CMS).
- Python language is beginner friendly which makes it popular among beginner level programmers.
- The programming language is open source, meaning you can use its various resources for free, even for commercial purposes.
- The archive of Python modules and libraries, which are collections of code created by third-party users to extend Python's capabilities, is extensive and evolving.
- Python has a large and active community that contributes to providing a collection of Python modules and libraries and acts as a useful resource for other programmers.
Beginner's Python Learning Stages and Tips
- Determine the Final Goal
Before you start 'diving into' this programming language, you should have a clear goal in mind why you want to learn Python?
What exactly do you want to do with the Python programming language?
Do you want to automate some tedious tasks, or do you want to create some web applications?
Most beginners make the common mistake that they start learning Python beginners without thinking about the ultimate goal after successfully learning it.
Keep in mind that learning a programming language is different from studying any other subject.
In addition, the use of each programming language to build multiple real-world applications will have different implementations.
Therefore, as a programmer (although still at the beginner stage), you must have a goal to be able to build something (eg mobile/desktop applications or websites) and not just to learn programming languages in theory.
So, first of all you explore every python course london field of programmer career and find out where your interest in programming is.
Then you want to create a system or application like what and proceed to the next step, which is finding out programming support resources.
- Many Looking for Learning Resources
There is so much documentation and learning videos available online that it can be very confusing for beginners to start learning Python from, especially when Python can be used in so many different fields.
Understand that one instructional book or video is not enough to teach you everything about the Python programming language.
Especially if you are still at the beginner stage, you will most likely be overwhelmed with so many concepts.
But try to be patient, then explore and stay committed to learning Python beginners from the ground up.
Whatever learning resources you use, set a time limit for completing the study.
If you are a beginner, you can complete the study in 10 – 11 weeks by dedicating 2-3 hours of study time every day.
- Important Topics to Know While Learning Python
Now let's move on to the next step which is an important topic in learning Python beginners.
Keep in mind that there's a lot to learn, so once you've finished a topic, start exploring the Python language on your own.
- Learn Syntax and Basics
First of all, start by installing Python on your computer or laptop.
You can directly visit the official Python website, then download the latest version, and you are ready to start learning Python beginners.
Once the installation is complete, you can use IDLE to write and run Python code.
Well, now we are going to list some of the topics that you need to know during the process of learning Python beginners.
According to some experience, a beginner will take almost 1 – 1.5 weeks to learn all the basics, depending on the learning process of each individual.
- Basic overview of Python and basic arithmetic. It means variables and data types
- Control structure (objects and classes).
- Input-output, String and Typecasting functions.
- Looping in Python: For and While.
- Exception Handling.
- Functions, modules and Imports.
- OOP Concepts, Built-in Data Structures, and More
This part can be a little tricky, especially if you don't know about object-oriented programming (OOP) concepts.
We recommend seeking help from some online sources such as the official Python site, then you will be able to understand the concept.
These concepts will be used a lot in creating complex applications so understand this topic as best you can.
Maybe you will need 1 – 1.5 weeks to learn it.
- Object-oriented programming or object-oriented programming in Python.
- List and List function.
- Regular expression (RE).
- List comprehension.
- List slicing.
- String formatting.
- Lambdas.
- List, Dictionaries, dan Tuples.
Once you've mastered the topics above and practiced enough on each topic, it's time to build your first program.
Python has a good collection of modules, packages, libraries, and frameworks that you can use for various applications.
So instead of building everything from scratch, use the available frameworks and libraries.
We think it will be easier for you to build something using these frameworks and libraries.
Take the framework or libraries according to the ultimate goal of your program development, whether web development, desktop-based applications, and so on.
- Framework for Web Development
There are many frameworks for web applications in Python.
Some of them are Django, Flask, Bottle, Tornado, and Pyramid.
The average time it takes to learn the framework for a beginner Python is around 1 – 2.5 weeks.
- Libraries For Desktop Application Development
As well as libraries, Python has a good list of libraries to use in developing desktop applications easily.
The Python libraries are Tkinter, PyQT, and Kivy.
- Libraries for Data Analysis
Libraries Numpy, Pandas, Seaborn, Bokeh, SciPy, and Matplotlib are all great Python libraries to use for data analysis.
These libraries are very helpful for someone who wants to be a data analyst or data scientist.
You can learn these Python libraries in about 1 week.
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