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TechieGen Career Guide
How To Become A Python Developer
TechieGen's python developer career guide is intended to help you take the first steps toward a lucrative career in Python. The guide provides an in-depth overview of the skills you should learn, career paths in digital marketing, how to become a Python developer, and more.
15 Minute Read
Table Of Contents
What Is Python Programming?
Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built-in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy-to-learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms and can be freely distributed.
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Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source-level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective.
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Python is commonly used for developing websites and software, task automation, data analysis, and data visualization. Since it’s relatively easy to learn, Python has been adopted by many non-programmers such as accountants and scientists, for a variety of everyday tasks, like organizing finances. Python has become a staple in data science, allowing data analysts and other professionals to use the language to conduct complex statistical calculations, create data visualizations, build machine learning algorithms, manipulate and analyze data, and complete other data-related tasks.
Python can build a wide range of different data visualizations, like line and bar graphs, pie charts, histograms, and 3D plots. Python also has a number of libraries that enable coders to write programs for data analysis and machine learning more quickly and efficiently, like TensorFlow and Keras.
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Learning the basics of Python can take anywhere from a few weeks to a few months, depending on what you want to learn and how frequently you learn. But since Python has so many uses—and tools to support those uses—you can spend years learning its different applications. Knowing what tasks you want to accomplish and whether you want to use Python in a professional capacity can determine how long your Python journey will be.
Blogs To Get Started With
Downloading Python
Before you start, you will need Python on your computer. Check whether you already have an up to date version of Python installed by entering python in a command line window. If you see a response from a Python interpreter it will include a version number in its initial display. Generally any Python 3.x version will do, as Python makes every attempt to maintain backwards compatibility within major Python versions. Python 2.x and Python 3.x are intentionally not fully compatible. If python starts a Python 2.x interpreter, try entering python3 and see if an up to date version is already installed.
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On Windows, try py first - this is the relatively recent Python Launcher, which has a better chance of avoiding some of the path problems that might occur because on Windows programs don't install into any of the small set of common locations that are searched by default. The Python launcher can also let you select any of the various versions you may have installed from a single command.
If you need to install Python, you may as well download the most recent stable version. This is the one with the highest number that isn't marked as an alpha or beta release. Please see the Python downloads page for the most up to date versions of Python. They are available via the yellow download buttons on that page.
Windows
The most stable Windows downloads are available from the Python for Windows page. On Windows you have a choice between 32-bit (labeled x86) and and 64-bit (labeled x86-64) versions, and several flavors of installer for each. The Python core team thinks there should be a default you don't have to stop and think about, so the yellow download button on the main download page gets you the "x86 executable installer" choice. This is actually a fine choice: you don't need the 64-bit version even if you have 64-bit Windows, the 32-bit Python will work just fine.
If you're running Windows XP: a complete guide to installing ActivePython is at Python on XP: 7 Minutes To "Hello World!". ShowMeDo has two videos for downloading, installing and getting started with Python on a Windows XP machine - this series talks you through the Python, ActivePython and SciPy distributions. Note that the python.org releases only support versions of Windows that are supported by Microsoft (at the time of the release), so no recent release from python.org can be used on WIndows XP.
Mac
See the Python for Mac OS X page. MacOS from 10.2 (Jaguar) to 10.15 (Catalina) includes a system version of Python 2, but it is best not to consider this the Python to use for your programming tasks - install a current Python 3.x version instead. MacOS after 10.15 (Catalina) will not include a default system Python.
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Download It Here
Python Developer Job Roles
As we can see in the table given below, Python has emerged to be one of the most widely used programming languages in 2020. With the rise in share and increase in popularity, the number of job roles and companies hiring for these roles increases as well. To enter the fiercely competitive world, you need to know the various job roles available. A short brief of each job has been provided below.
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Software Developer/Engineer
S/he must be well versed with core Python, the different web frameworks and ORM. A Software developer must also have an understanding of multi-process architecture to integrate applications with other components. Skills such as front-end development skills and database knowledge are an added advantage.
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Python Web Developer
A Python Web Developer should be familiar with web frameworks, HTML and CSS. These are the foundation requirements for web development. S/he is required to write server-side web logic. Good database knowledge is an added advantage. For GUI based web applications, knowing libraries such as Tkinter is a plus.
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Data Analyst
Data Analysts are required to carry out data interpretation and data analysis regularly. Being well versed in Mathematics and Statistics is a crucial part of becoming a Data Analyst. NumPy, Pandas, Matpotlib, etc., are Python libraries used for Data Visualisation and manipulation, knowing this can be extremely beneficial to a Data Analyst.
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Data Scientist
Knowledge about Data Analysis, Data interpretation, Data manipulation, mathematics, and statistics are very beneficial to make the correct decisions. S/he must have adequate knowledge about libraries like Tensorflow, Scikit learn, as the role revolves around the development. Machine Learning algorithms such as Naive Bayes, regression analysis, etc. are essential as well.
Machine Learning Engineer Overview
A Machine Learning Engineer must understand deep learning concepts, neural network architecture and machine learning algorithms, along with mathematics and statistics. A Machine Learning Engineer should also be proficient in gradient descent, regression analysis, and prediction models. S/he works beyond just programming by channelling creativity and implementing it in applications.
Artificial Intelligence Engineer Programming skills, knowledge of Data Science concepts and Data modelling concepts are requirements of an AI Engineer. S/he is expected to program computers in a manner that a human mind would perform through cognitive simulation. Common tasks include reasoning, knowledge representation, and NLP.
Is Python developer a good career?
There are several reasons and based on those reasons it can be said that python developers are a good career to choose from, in the below section I have discussed all the reasons in detail. So, read the points here-
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Jobs:
The first benefit of becoming a python developer is that you will get the job very easily because over some time python has developed as a programming language and it is almost used in every IT sector or every company. And according to some statistics python and java are the two best programming language which provides maximum numbers of jobs. So, as a Python programmer, you will get lots of opportunities for jobs.
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Frameworks:
If you ask any developer or any programmer which is the easiest programming language to learn then everyone should say that it is Python because its syntax is really easy. Besides the easy syntax, there were lots of frameworks are there which makes the tasks easier for the developers. For every works some types of frameworks is present in this language such as for developing app Kivy framework is used, for web development, Django and Flasks are mostly used, for machine learning Tensorflow are considered as a very good framework, and for data science, web2py, cherryPy, Bottle are considered as a very good framework. So, as a python developer you can use these frameworks and these frameworks Will reduce work when you will performing these tasks.
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Salary Package:
The Salary package is a really major and crucial factor before choosing a perfect career. Because your career is all about passion and money. Well, if your passion is computer programming and if you learn python then you can earn lots of money from this field. This language is totally in demand and on average, a python developer almost earns 5,00,000 rupees per annum in India. While, in developing countries, python developers earn much more money as in the united states python developer’s salary is $75,000 per autumn, while in the UK these developers earn almost 72,000$ per autumn which is fairly considered as a very good amount.
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Freelancing:
Freelancing is another very good option for the python developer to earn money. If you have some expertise in this python programming field then you can earn a huge amount, because lots of freelancing works are available on the freelancing platforms and there were not many python developers who can do these works. There were several freelancing platforms are available such as Upwork, Fiverr, freelancer, you just have to visit these platforms and create an account and bid for work.
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Future Demand:
When you are choosing any programming language you have to choose it perfectly because according to Wikipedia there were almost 700+ programming languages are available and if any programming language is unable to update its features then the other languages can take its place.
Suppose if you have selects the c programming language and in recent times no works can be done with c programming and therefore it is not good for the future. But, that is not the case with Python, because it is a very good programming language and the future demand for this programming language is high, so python developer is also a good career to choose for the future.
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Diverse Fields:
As a python developer, you can utilize your skills in diverse fields, here I want to say that if you have learned python programming then you can go for machine learning, artificial intelligence, data science, web development, and other areas.
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These are some of the major reasons why python developer is a good career.
Skills Required to Become a Python Developer?
Although, there are numerous languages are available in the market but python has become one of the most emerging programming languages in recent time. It can be used in several places and if you want to become a developer then you have to choose the better language which suitable for your work. As python becomes a very popular and demandable language, therefore most programmers want to build their career and learn Python Programming but they don’t actualize how to start and learn Python so in this article I am going to discuss how to become a Python developer.
So, how to become a Python developer? it completely depends on you about how you want to learn this language. This language is a very easy programming language for beginners and the syntax of this language is easier than the other languages. All you can do, you can make or create any roadmap to learn python, otherwise, you can also take some courses about Python programming.
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As a Python Programmer, the first thing you have to do is to learn the Python basics concepts very well. So there are three stages of learning python- beginner stage, intermediate stage, advanced stage. Always starts from the beginning, and at first learn the concepts of variables, numbers, strings, primitive data types, etc.
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After that, you can learn a little bit about advanced data types such as dictionaries and tuples, functions, modules, etc.
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Once you have clear the concepts of basics then go for intermediate skills. As an intermediate Python Programmer, you have to learn the concepts of exception handling, classes, object inheritance, iterators, generators, lists, sets, command lines, etc.
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Once you have learned the intermediate skills then you have to learn about the advanced Python skills and you have to use the multiprocessing and multithreading, decorators concepts, multiprocessing lock, and pool, and context manager skills.
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This is the first step to become an expert python developer, now you can move to the next topic which is data structures and algorithms.
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Data Structures and Algorithms:
If you want to learn any programming language then the data structures and algorithms concepts are a must for you. If you know good data structure concepts then it allows you to write the code more efficiently. Without these concepts, you can write programs but these programs do not work efficiently. And later it will become much more difficult for you to maintain that code.
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Debugging Skills:
Being a web developer I have worked with many Python developers and one common thing I have found in them is their debugging skills. If you have good debugger skills and your codes are not behaving properly then you can easily resolve this problem.
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Using Libraries properly:
One of the major things of Python becoming the most popular language, because of its libraries. Python consists of several programming languages which will make easy your work as a Python programmer. For example NumPy, it is a numeric computing library which allows you to do multidimensional arrays, type of manipulations, and if you don’t know about this NumPy library then can not do these things efficiently. You can use pandas for data cleaning and data analysis. For scientific computing, you can use SymPy and other libraries. You just have to search about python libraries and you have to use these libraries wisely.
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PEP8 & Coding Best Practice:
As a good python programmer, you have to write readable python code and for this purpose, you can use the PEP8.
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Open Souce contribution and Code Reviews:
Many types of people argue that we do not know Python and how we will contribute to open-source python code. But you can contribute to open source even by modifying the documentation.
When you will open source you have the chance to interact with the experts and during the code review process, they will give you lots of useful commands, which will make your coding much better.
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Projects:
This is the last point and according to me the most essential point, as a Python programmer you have to practice lots of projects. You just have to visit Google or GitHub or stack overflow and you have to search for the projects. And from here you have to resolve the projects and once you will be able to handle those projects or solve those projects then your Python skills become much better. This is the whole roadmap to become a good Python or an expert Python developer. If you learn all the skills that I have mention in a step-by-step process then you can achieve expertise in python programming.
Which Python Framework Should I Learn in 2021?
We know that frameworks make the tasks easy for the developers. And therefore it has become mandatory to learn frameworks. A similar case is with Python, if you want to become a good Python developer then you have to learn some of the frameworks.
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In the Python programming language with the help of frameworks, you can efficiently implement the codes. The readability of the codes becomes very good. And you can reuse the code several times. Besides that, the maintenance of the code is also a good factor in the Python programming language.
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Top 7 Best Python Frameworks to Learn
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Flask
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Web2py
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CherryPy
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TurboGears
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Bottles
These are some of the most prevalent Python Frameworks that you can learn. Now I will discuss these Frameworks and their features in detail.
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Django:
Although its spelling is Django, it is still pronounced as Jango. It is one of the most popular frameworks of python.
It was first released in the year 2005 and it is mainly written in the Python programming language.
It is a kind of open-source framework and it is mainly used for the architectural structure.
It was developed by the Django Software Foundation.
Many websites are built with the help of this Framework such as Instagram, Mozilla, Pinterest, etc.
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Features :
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Django is a web framework that is used for the full-stack development framework.
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It is a kind of open-source software for everyone to use this web Framework easily.
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Some of the essential features of Django are authentication URL routing template engine database migrations etc.
Web2Py :
It is also a kind of open-source framework built with the help of the Python programming language.
It was initially released in the year 2007 and its updated version was released in the year 2020.
The main advantage of using this web2py is that it is a cross-platform software and you can use it anywhere.
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Features :
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It is a very good full-stack framework.
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It has its waste web-based IDE.
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It is a very good debugger.
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Wonderful Framework for data security.
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And it has backward compatibility.
Flask:
It is a microframework for Python language and written with the help of the Python programming language.
It is a very familiar Framework amongst the developers.
It was developed by Armin Ronacher in the year of 2010 and its updated version was released in the year 2020.
Features:
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It is a micro framework.
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Flask is a kind of first debugger framework.
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It is a unique code-based framework.
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It can plug any ORM.
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It can handle HTTP requests.
Bottle:
The bottle is a kind of micro-based web framework. It is also developed by the Python programming language. It is a very lightweight framework and it has no dependency like other python frameworks.
It was initially released in the year of 2009 and its updated version was released in the year 2020.
It was developed by Marcel Hellkamp.
Features:
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It is also a microframework
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Mainly it was built for APIs.
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It implements everything on a single source file
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It has no dependency like other python frameworks.
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Some of its main functions are routing, templating, utilities, etc.
CherryPy :
It is an open-source and object-oriented framework.
It was used for the Python programming language.
It was a very old framework and its initial version was released in the year of 2002.
And later it was upgraded several times and in the year 2020, its latest version was released.
Features:
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It is an open-source web framework.
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It is an object-oriented Framework with a minimalist approach.
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This Framework has a powerful configuration.
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It is flexible with the plugin system.
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It has some existing tools for catching, encoding, authentication, and static content.
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This Framework is also supports profiling coverage and testing.
TurboGears:
Turbogears is a kind of framework and it is used for Python Programming.
It was initially released in the year 2005 and its upgraded version was released in the year 2020.
It was developed by Kevin Dangoor, Mark Ramm.
Features :
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Used for Schema migration
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Used for identification and authentication
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Database queries master
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Used for caching
Pylons Project :
It is also a kind of Opensource Frameworks used with the Python Programming language.
It was initially released in the year of 2006. It was developed into several programming languages such as – Html, CSS, Python, JavaScript, etc.
Features :
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Used for Templating
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Object relational mapping
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Used for URL dispatch.
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These are some of the essential python frameworks and their features.
Although there are several frameworks are available but it is not mandatory to learn all these Frameworks. If you want to learn some of the Frameworks then find the actual reason behind it.
And based on the features two frameworks are popular amongst the developers, one is Django and another Flask. If you already learn Python then I recommend you to learn Django because it is one of the best Frameworks and it is a Full-stack development framework. And if you are an absolute beginner in this programming field then I recommend you to learn Flask because it is designed for beginners and is a micro framework.
Learn With Our Meme Based Learning Path
TechieGen's Meme-based learning path is intended to help you take the first steps in starting your career in python. This guide provides an in-depth overview of the skills you should learn, the best data training options, career paths in python, how to become a web developer, and more.