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Roadmap to learn Python for Beginners

TABLE OF CONTENTS

 

 

I. WHAT IS PYTHON AND WHY IS IT IMPORTANT TO LEARN PYTHON?

Python is a high-level object-oriented programming language that is widely used in the current time for every type of programming and it is comparatively easier than the other languages (Java, C++, etc.) in terms of coding.

  • One of the most popular languages in today's technology.
  • Easy and simple to start with programming.
  • Super-versatile.
  • Has a straightforward programming logic.
  • Lots of third party libraries support.
  • Will provide high-paying jobs in the field of Backend support, ML, Data Science, Web Development.

 

II. ROADMAP FOR LEARNING PYTHON

  • Know the Basic Concepts of Python and Syntax- The different topics that you need to learn under this are:
  1. Python Shell
  2. Control structures, Conditional Operations
  3. Input, Typecasting
  4. Looping in Python
  5. File Handling
  6. Modules, Functions and Imports

 

  • OOPs Concepts and Built-in Data StructuresThe different topics that you need to learn under this are:
  1. Understanding Object-Oriented Programming (OOP) in Python
  2. Know different Python’s Classes and methods
  3. Regular Expressions
  4. List Comprehension, Slicing, Functions
  5. Lambdas

 

  • Advanced Python Learning: Once you have learned the above topics, it is time to build something of it. For instance- Web Development, Desktop Based Applications, etc. The components you can try your hands on are:
  1. Designing APIs using Flask/ Django/ Bottle/ Tornado/ Pyramid etc.
  • Flask: One of the simplest micro frameworks to learn in Python is Flask.
  •  It is apt for developing an easy and lightweight web application.
  • Flask provides you with libraries, tools, and technologies necessary to build a web application.
  • It also provides components such as support for unit testing and building REST APIs.
  • Django: Django is a high-level Python web framework that facilitates web development.
  • This web framework is used for web development in startups and enterprises.
  •  Before learning Django, make sure that you know terminology authentication, URL routing, API, and models. 
  • Django lets you use multiple databases such as PostgreSQL, MySQL, SQLite, and Oracle. 
     
  1. Building desktop-based applications with the help of Tkinter, PyQT, Kivy, WxPython or PyGUI libraries
  • Tkinter: Tkinter is the standard open-source GUI library for Python that provides a powerful object-oriented interface to the Tk GUI toolkit. It lets you build desktop GUI applications using Python. 
  • PyQT: PyQt is one of the most effective and famous cross-platform GUI libraries. It is a combination of the Python programming language and the Qt library. PyQT helps you to design graphical user interfaces for a desktop application.

 

  1. Data analysis with Python
    Several libraries in Python like Numpy, Pandas, Seaborn, Bokeh, SciPy, Matplotlib, etc are helpful for data analysis. After learning the basics of Python, you can use the language for data analysis.
  • Numpy
    It is a Python library used for working with arrays and contains functions for solving linear algebra, Fourier transform, and matrices. Scientific computing with Python is possible with Numpy. It is also be used in machine learning.
  • Pandas
    Pandas is an open-source library in Python that makes data manipulation easy. It is used primarily for data analysis and provides high-level data structures (such as DataFrame). It also can summarize complex operations into a few commands. 

 

  1. Machine Learning
    Machine Learning is the science of programming a computer that enables it to automatically learn and improve without being explicitly programmed.
  • Today, Python is one of the most popular programming languages for machine learning because it provides a vast collection of libraries for this task.
  • Some of these libraries are Numpy, Scipy, Scikit-learn, Theano, TensorFlow, Keras, etc.

 

III. WHERE CAN YOU LEARN PYTHON?

There are numerous sources available on the Internet to learn Python. Some of the free sources which you can refer are listed below:

Free Sources:

While the free courses are helpful in developing the required skills and knowledge of Python’s component, the paid courses will help you in building a good resume. These paid courses will halp you to showcase your skills and knowledge. Some of the certificate courses you can apply for are given herein.

Paid Sources:

 

IV. BENEFITS OF LEARNING PYTHON

  • In today’s world, Python is the preferred language for Data Science and Machine Learning. Majority of programmers are switching to Python because of the simple fact that Python is emerging as the most preferred language for Data Science.
  • There is little doubt in the fact that Python is the most suited language for Web Development. The simple reason being, Python is easy to learn, has a rich ecosystem, libraries, has widespread popularity and fast prototyping.
  • Python is used widely in scientific and numeric computing.
  • Python is very commonly used as a support language for software developers, testing, etc.
  • Python is popularly used to build business applications like ERP and e-commerce systems.
  • One of the benefits that Python has is, it enables you to automate the boring stuff. There are various scripts in Python that make it possible.

 

V. PROJECT IDEAS FOR BEGINNERS FOR PYTHON LANGUAGE

  • QR Code Generation with the help of Python
    The QR codes can be used to encode variety of data. For instance, they can be used to encode:
  1. Contact details
  2. Facebook ids, Instagram ids, Twitter ids, WhatsApp ids, and more.
  3. Link directly to download an app on the Apple App Store/Google Play.
  4. YouTube links
  5. Access Wi-Fi by storing encryption details such as password, SSID and encryption type.
  6. QR codes are used in doing digital transactions.

Check here for the source code of the project

  • Project on Reconnaissance Scanner

In this project, you will make a Reconnaissance Scanner that will scan any website available on the internet and will furnish the results in a file.                                                                                                               

Check here for the source code of the project

  • A Cryptocurrency Portfolio App

In this project, you will be required to build a project to keep a track on all of your crypto assets. The app will show the total value of all your crypto assets along with complete information about each one.

Check here for the source code of the project

  • Build a Rock Paper Scissors Game Clone
    One of the best ways to polish your coding skills is by developing skills. In this project you will be required to create a Rock Paper Scissor program in Python.
    Check here for the source code of the project

Here are some projects for learning machine learning skills with Python, that you may consider doing.

 

VI. TIPS FOR LEARNING PYTHON

Lastly, let me tell you some basic tips for learning Python. Read these tips to enhance your learning of the Python language.

  • Understand the basics first: Understanding the basics is of utmost importance. To have a proper understanding of the complex topics, it is necessary to have a sound knowledge of the fundamental concepts.
  • Learn the codes by writing them on paper: This is the most effective way to learn codes. Taking notes will help you to remember the concepts for a longer time.
  • Practice as many times as needed: It is very important to practice the codes daily. Infact, consistency is the key to learning any programming language.
  • Refer to genuine and authentic sources: There are plenty of sources available online for learning Python. However, you must try refering to only genuine sources that provide complete learning on Pthon.
  • Take online course: The benefit of online coures is that it not only helps you develop the required skills but also provides you with a course that you can mention in your resume.
  • Do not forget to take breaks.

    ALL THE BEST!!!