Best Way to Learn Python ( Your Step-by-Step Guide )
As a software engineer, I am going to talk about how I started learning Python and what processes I went through and what I did to specialize in the field of Python, and what you need to do to become a professional in this field and get a job.
First of all, everyone else has a lot of advice regarding learning Python programming. They talk about how you can learn Python in a short time and what you can do, get a job in this field, and change your life.
Then you listen to what they say and take a few courses. Then you realize that this is really not as easy as they say.
Even the syntax structures that are tried to be taught in the course you attended are not understood and are difficult to learn. Even if you finish the entire course, you realize that you are still not at the level to produce projects on real-life problems and you need to learn more.
However, they said that everything would be very easy before you take the course. Let me tell you this. They don’t lie to you, but they don’t tell you the truth.
- Data Science (Machine Learning): You can make applications such as voice and face recognition using machine learning libraries and frameworks.
- Automation: You can automate your work with a short script.
- Websites : You can make a website with web frameworks like Django and Flask.
- Desktop and Mobile Apps : You can make desktop or mobile applications.
What you can do with Python is not limited to these. Python has a wide range of uses. (Software Testing, Data analysis, Hacking, etc.)
What I want to explain here is that you can learn Python at a basic level with Python courses. From here, what you need to do is to take another training in the field you want to specialize in and continue learning.
If you want to achieve all these goals, all you have to do is apply what you have learned.
According to the studies of scientists, the best way to learn is to learn by doing.
It is a mistake to take all the courses and then assume that you know without doing anything. My advice to you as a software engineer is this :
First, Set Your Goal: Determine why you want to learn Python. When you start learning something new, it will be difficult for you at first. Even if it is difficult for you when you start to learn a new programming language, that reason will cause you to continue learning.
So know why you want to learn, and that reason should keep you enthusiastic and motivated.
Learn by doing it: You will not learn the whole courses by just watching and then doing nothing. Try to do a project after you completed all the courses. For example, you want to automate some of the tasks in your life with an automation project. You can immediately make a project and put what you have learned into practice. By practicing this way, you will learn in real terms.
We said that the best way to learn is to learn by doing. By developing real-life applications, you are going to learn what you have learned during the course.
In addition, as we said at the beginning if you want to have a job in this field, you are going to have a project in your portfolio as someone who has done something in this field, so your chances of finding a job will increase.
You may be asking this. Is it possible to find a job without a degree in this field? My answer is definitely yes. There are a lot of self-taught people who do not have a degree in the software industry. Companies are more interested in what you can do for the company than your degree. To be honest, many companies don’t even ask your degree.
So now that you know how to learn Python and how you can make a career in this field, let’s talk about where to start and how you should learn. I want to tell you this. If you want to be a real expert in a field, you should choose your teachers well.
There are many e-learning platforms where you can study Python online. Udemy, Coursera, Codeacademy, Udacity etc.
Like any professional person, I still continue to learn as a software engineer and learning is a process that will continue throughout our lives. During this period, I took many courses and I didn’t find good enough some of them and some of them were quite good. Now I will give you my advice on where to start if you want to learn Python programming, and which courses to take.
Codeacademy is a very high-quality online education platform that is one of the first visited places by those who want to learn programming.
The course I recommend to you here is the Codeacademy Learn Python 3 course. Approximately 45 million people attended this course and the course has approximately 25 hours of content.
In this course, you are going to learn :
- Syntax
- Functions
- Control Flow
- Lists
- Loops
- Strings
- Modules
- Dictionaries
- Files
- Classes
- Function Arguments
- Python Basics : An Introduction to the basic concepts of Python.
- Python Lists : You are going to learn storing, accessing and manipulating data in lists.
- Python Functions and Packages : You’ll learn how to use functions, methods, and packages to efficiently leverage the code that brilliant Python developers have written. The goal is to reduce the amount of code you need to solve challenging problems!
- Numpy : NumPy is a fundamental Python package to efficiently practice data science. Learn to work with powerful tools in the NumPy array, and get started with data exploration.
Here is what I will suggest to you.
If you are not satisfied with Python and build a career in data science, I can say that this course is the first step for you.
As I said earlier, I mentioned that you first need to know why you need to learn Python, and then learn by practicing.
The course I recommend here is one of udacity’s nanodegree courses.
Udacity nanodegree courses are a program that lasts for several months and teaches you by implementing continuous projects and then offers you a certificate.
There are a lot of people who started to work in very good places after getting Udacity nanodegree programs. If you want to pursue a career in data science, I recommend you to join this course.
Coursera is one of the e-learning platforms that has very good courses in programming.
The course I recommend here is the programming for everybody (Getting Started with Python) course.
With the training you will take here, you can learn Python to a certain level.
Then, if you want to specialize in the field of data analysis with Python and make a career, you can take this course as a continuation of the same instructor.
The second course is Python for Everybody ( Specialization)
The last course I recommend to you is udemy’s 2020 Complete Python Bootcamp course.
In this course, you will be able to learn Python at the basic level and make applications with projects.
Along with all the above online training courses, I will list the best Python books I recommend you to read.
Best Python Books You Should Read
OFFICIAL DESCRIPTION
- Programming Basics and Python Syntax
- Games
- Numerical Programming and Data Mining
- Web Scraping
- Web Development
- pygame
- matplotlib
- pygal
- requests
- django
- plotly
OFFICIAL DESCRIPTION
- Programming Basics and Python Syntax
- Web Scraping
- GUI Development
- Graphics and Computer Vision
- Automating Common Computer Tasks
- requests
- beautifulsoup4
- pillow
- pyautogui
- openpyxl
- ezsheets
- ezgmail
OFFICIAL DESCRIPTION
- Explore Python’s major built-in object types such as numbers, lists, and dictionaries
- Create and process objects with Python statements, and learn Python’s general syntax model
- Use functions to avoid code redundancy and package code for reuse
- Organize statements, functions, and other tools into larger components with modules
- Dive into classes: Python’s object-oriented programming tool for structuring code
- Write large programs with Python’s exception-handling model and development tools
- Learn advanced Python tools, including decorators, descriptors, metaclasses, and Unicode processing
- Programming Basics and Python Syntax
OFFICIAL DESCRIPTION
- Install a complete Python environment
- Organize and write code
- Fix and break code
- Basic mathematics
- Variables
- Strings and text
- Interact with users
- Work with files
- Looping and logic
- Data structures using lists and dictionaries
- Program design
- Object-oriented programming
- Inheritance and composition
- Modules, classes, and objects
- Python packaging
- Automated testing
- Basic game development
- Basic web development
- Total beginners with zero programming experience
- Junior developers who know one or two languages
- Returning professionals who haven’t written code in years
- Seasoned professionals looking for a fast, simple, crash course in Python 3
- Programming Basics and Python Syntax
- Games
- Web Development
- flask
OFFICIAL DESCRIPTION
- Programming Basics and Python Syntax
- Web Scraping
- Database
- Numerical Programming and Data Mining
- beautifulsoup4
Frequently Asked Questions
Future Of Python
Python is one of the fastest-growing languages in the world. Artificial intelligence (machine learning, deep learning), automation and data science have already caused many developments in our lives.
Artificial intelligence has made our lives easier and more prosperous.
Artificial intelligence is the future itself. The reason I say this is because the programming language mostly used in the fields of artificial intelligence and data science is Python.
And Python has long been one of the most popular languages.
For this reason, if you ask if Python is worth learning, we can say that learning Python is definitely worth it and a career in this field is an investment in the future.
Is It Hard to Learn Python ?
class HelloWorldApp {
public static void main(String[] args) {
System.out.println("Hello World!");
}}
“Hello World” Program in C#
using System;
class Program{
static void Main(string[] args)
{
Console.WriteLine("Hello, world!");
}}
And Here is “Hello World” Program in Python
print("Hello World") As you can see, unlike other programming languages, with Python, we can easily write code with a single line.
In short, we can say that learning Python is quite easy.
