Python Resources for Programmers

Nowadays, just about everyone wants to be a programmer. In today’s technology-driven world, programming is an in-demand skill that can lead to not only lucrative, but also innovative and exciting career opportunities. However, there are now numerous different languages one can study to get into the field. Both aspiring and seasoned programmers gravitate to Python because it’s readable, requires little setup, and is easy to understand and write. Knowing exactly where and how to start learning it, however, can be challenging.

In this guide, beginner Python developers can get an introduction to the basics, find out where to learn the language, and also get access to several different resources that have been handpicked by a Python developer or are highly recommended in the developer community. By the end of the guide, you should have a solid foundation to further your knowledge and get closer to your goal of becoming a Python programmer.

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Programming in Python

Python is an extremely versatile language used in a wide variety of applications today. Whether you want to build a video game using the PyGame library, write a quick script to automate a task, or build a web application, Python is a terrific fit to get the job done. This is because the language is highly extensible — it has libraries and other extensions that allow it to fit in most applications. This is a terrific asset when trying to find a balance with productivity, speed, and readability. The language is also easy to pick up and learn. But just like every other coding language, there are pros and cons to using Python. Before you ever write your first line of code, ask yourself “What am I trying to build here?” and “Do I value how fast I develop the code over how fast I would like the code to run?” Asking yourself these questions prepares you as the developer to pick the most suitable language for the job.

While the speed of development is a huge plus for Python, it does not run as fast as other languages such as C, C++, and Java. It could take a Python developer one month to write code that would normally take a C programmer six or more months to develop, but at the end of the day, code written in C will run much faster than code written in Python. One’s end goals will likely be a significant factor when determining which type of language to use. For example, it may be imperative that the code run quickly. In that case C might be the better option. However, if the goal were to get the code running and in the market as quickly as possible, then Python would be the better choice.

Code Style & Noticeable Features

There is no single aspect or feature of Python that makes it unique from other coding languages; rather, it is a combination of its features that makes it stand out. Python does not incorporate anything overly innovative in its features. Instead, it takes existing coding language concepts and improves upon them.

Simplicity & Productivity

Style is what makes Python so popular. Python can be summed up in two words — simplicity and productivity. Start typing just a few words of Python code and you already have working code. The amount of time and energy one saves in writing less code is just the beginning with Python’s productivity. The language has a number of other benefits. For instance, Python comes with an extensive and easy to use standard library that makes coding much quicker. Say you want to read an input text file. In Java, it would take several lines of code to make this happen; however, in Python, all it would take is “”. This gives the programmer quick prototyping and easy to understand code in a matter of seconds. Additionally, Python does not need any real initial setup — you do not need to write classes and then methods inside those classes in order to start executing code.

Another equally important key aspect of Python is its simplicity. Your code should be written in such a way that almost anyone could pick it up and easily understand what it is doing. Below is an example of both productivity and simplicity. The strong of code illustrates that it takes very few lines to accomplish a task in Python, and the code is also easy to understand when compared to the same task written in Java.



Here is another code comparison to illustrate Python’s simplicity. This code is meant to print to the console “Hello, World”. Not only is there far less code used in Python, you can clearly see that the actual words in the python statement would make sense to anyone.

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While there are still best practices one should adhere to in Python, the language itself enforces a few rules that will ensure the programmer is writing clean code. In the example code above, you can see where the Java code is using braces in order to structure its code. Here, it is basically saying, “Everything within these braces is working together to accomplish something”. The braces determine the block of code. For Java, where you put those braces is purely style choice — it doesn’t really matter as long as the braces surround the code you care about.

In Python, code blocks are structured using indentation instead of braces and the indentation is actually a programming requirement as opposed to a choice in styling. This is a requirement in the sense that if you do not indent correctly, your code will not run. The following code example illustrates the idea of indentation. The indented pieces of code are a part of the “if “ statements that they are contained in, which gives your code actual structure and readability.

How to Learn Python

The Internet is a treasure trove of knowledge, a place where one can search for anything and find a billion different answers. As a result, searching for things like “Python for beginners” and “Python made easy” can be overwhelming, and often times websites do not cover the very basics for those new to the language. That is one of the hardest parts about starting out on the Internet – most sites assume readers already have programming experience and are simply looking to learn a new language.

Another thing to consider is the way you learn best. Some people are visual learners and need to actually see examples of code and how they work in order to absorb and fully understand the information. Others may not need many visuals and may be able to learn from reading a textbook. Still others might need one-on-one instruction in a classroom. Below is an overview of the most common learning options for aspiring Python developers to help you find the best fit.

Colleges and Universities

Pursuing a computer science degree at a college or university can be a great way to get hands on experience and to have a professor guide you through some of the tougher aspects of programming, as well as computer science in general. There are many different focuses one could pursue with the pairing of programming.

Applied Computer Science

  • Artificial Intelligence
  • Computer Architecture and Engineering
  • Computer Graphics and Visualization
  • Computer Security and Cryptography
  • Computational Science
  • Computer Networks
  • Databases and Information Retrieval
  • Health Informatics
  • Information Science
  • Software Engineering
  • Concurrent, Parallel and Distributed Systems

Theoretical Computer Science

  • Theory of Computation
  • Information and Coding Theory
  • Algorithms and Data Structures
  • Programming Language Theory
  • Formal Methods

Given the versatility of the Python language, a computer scientist can apply Python to any of these fields. All these fields will have similar core classes that form the foundation of the student’s education. The fields of computer science, software engineering, and information science are all examples of degrees that will give students a broad perspective of applied programming in the real world.

However, getting a CS degree is not always essential to landing a job in computer programming. Some of the best Python developers have never taken a formal coding class through a college or university. Of course there are always exceptions to the rule, and holding a computer science degree – particularly from a prestigious institution – can open the doors to more career opportunities and higher salary potential.

Online Tutorials

Online tutorials are one of the most effective – and affordable – resources one can use when first learning Python. Perhaps two of the best sites among the development community is, a hands-on, self-paced online tutorial and YouTube, which offers tons of videos of other programmers walking through code. Online tutorials can benefit both novice and senior Python programmers. These options can be ideal for those on a limited budget, those who want to learn quickly, and those looking for a refresher or solution to a specific issue. Below is a breakdown of some online tutorial options for Python students and developers.

  • Codecademy

    Codecademy has a window to write Python code in as well as information on the side discussing the lesson in progress. It also has a help forum where other students can post get help when stuck on an exercise. Each lesson builds on the next to build a solid foundation for anyone looking to become a Python programmer. This site offers a series of courses that focus on the following Python topics:

    Python Syntax
    This chapter introduces the language and covers the very basics of working with Python. Basic data types and variable assignment begins to open the doors of possibilities to the developer.
    Strings and Console Output
    The creation, manipulation, and output of strings are looked at in depth in this chapter. The developer will become comfortable with outputting data to the console, work that a developer will execute every day.
    Conditionals and Control Flow; Functions; Lists & Dictionaries; Lists & Functions; Loops
    The above chapters get into the real meat of Python. Using conditions to get a result based on certain criteria. Utilizing functions to organize ones code into manageable, callable chunks. Lists and dictionaries allow the developer to group common data together that can be easily managed, and loops allow one to iterate that data to perform the task you desire.
    File Input and Output, Advanced Python Topics
    These chapters introduce critical, advanced topics in Python. Writing data to a file from your Python program opens the doors to many different coding challenges. In Advanced Python Topics, how code is organized and structured into Classes is a critical advanced concept that a developer must know before continuing in their learning.

  • is another good option for those who enjoy interactive learning. This online tutorial site has the option of both beginner chapters and advanced chapters, offering Python developers of all skill levels something to learn. The bottom of the window has an interactive coding window that allows one to code, run the program, reset the program, and find the solution.

  • Udemy

    Udemy offers online video training tutorials that are led by an instructor. The videos take you step by step through Python, many of which provide downloadable files and exercises that ease the process for the developer. Although most videos cost about $100 on average, some tutorials come with certifications or bootcamps that can give the user a special bonus. Udemy is a terrific resource for those who enjoy well-structured, professional videos and a classroom-like setting for a small fee.

  • YouTube

    YouTube is the perfect balance to Codecademy. It offers a different, but equally important method where a fellow programmer walks you through code via an instructional video. Every video differs and some may be of higher quality than others, but if you get stuck, this is a great place to go for solutions. The downside to this method is that topics are limited to those that have been posted and students may spend a lot of time trying to find the right video. However, if you are not keen on reading through documents and books, and prefer a more visual – and free – approach, this is a great choice.

  • Coding Bootcamps

    Python coding bootcamps are intensive, accelerated courses that teach aspiring coders essential Python skills, typically over the course of a few months. Bootcamps are great in that they bring students together with experienced programmers and only last a few months, which can be ideal for those who do not have the time to commit to a CS degree program. These bootcamps, however, are not free and students have to be willing to sacrifice many back-to-back hours to complete the course since it is so fast-paced.

    In addition to being demanding, bootcamps are virtually impossible to attend for most full time workers due to the long hours each day requires. Coding bootcamps are also limited in location – most are offered in big tech hubs such as Silicon Valley and New York. The ideal candidate for this route would be someone who has no job commitments at the moment such as a recent college graduate, someone in between jobs, or someone able to take a sabbatical from work.

    Despite the drawbacks, many bootcamps come with a serious perk – at the end of the course, many introduce graduates to partner companies or have well-connected and dedicated teams to help grads find a programming job so they can put their new skills to use quickly.

Best Python Bootcamps

Jobs for Python Programmers

With more and more companies implementing Python to develop their applications, students can rest assured there is no shortage of jobs for this language. Many websites and applications run using Python. Google, the most powerful and widely used search engine in the world, uses Python for its mainframe foundation. The ease in which Google provides users information wouldn’t be possible without it. YouTube also uses Python to integrate streaming videos into its webpages, and Instagram runs on Python.

Below is a look at the three most common Python computer programmer roles. The following salaries are based on data from

  • Junior Python Developer

    Expected to learn quickly how to code and contribute to projects. Tend to work under the guidance and tutelage of a mid to senior-level developer. Given smaller, less complex coding tasks to begin and then are expected to work autonomously within a month or two.

    Salary: $62,000

    Required education and experience: A bachelor degree in computer science or hands on experience, such as an internship, or related, to demonstrate Python knowledge.

  • Python Developer

    Expected to understand and deliver business requirements from the senior developers related to Python programming. Should be able to work autonomously and in a team setting with fellow programmers. Python skill-set should be strong. Should be familiar with many Python frameworks and libraries based on their line of work in Python.

    Salary: $95,000

    Required education and experience:

    • 3+ years experience working in a professional setting as a developer
    • A bachelor or masters degree is often preferred, but is not required

  • Senior Python Developer

    Expected to lead conversations with the clients to ensure the architecture/design of the Python project is maximized. Will be expected to lead team(s) of Python developers to accomplish coding goals for a project. Should be able to take on the most challenging of Python tasks related to a give project. The developer should know many different python libraries and frameworks depending on their line of work in Python.

    Salary $104,000

    Required education and experience:

    • 5+ years experience working in a professional setting as a developer
    • Demonstrated experience in leading projects and teams
    • A bachelor or masters degree is often preferred, but is not required

The Origin and History of Python

In the 1980s, a man named Guido van Rossum was a key developer in the creation of a programming language knows as “ABC”. While he liked many things about the language, there were still numerous issues he had with the way it worked. He decided to create a simple scripting language that took the best parts of ABC, but left out all the areas he identified as drawbacks. He also wanted the language to appeal to Unix/C hackers. Guido van Rossum named his language “Python”.

The language Guido van Rossum envisioned was simple for anyone to pick up and understand. His focus was readability and development speed, both of which are key features of Python. Many programming languages, such as Java, are known for being very verbose compared to Python. This means that it takes a lot of Java code to accomplish a basic task compared to Python.

Applications for Python

Python is a general use, interpretive programming language, meaning it can be used for just about everything. However, the areas where Python is used most frequently are:

  • Web development
  • Video game development
  • As an integration component in larger applications

Python contains libraries that extend its capabilities and allow it to work with other languages, such as C/C++, to make more efficient applications. For example, scientific computation code developed in C can be connected to Python testing code, allowing two developers to work simultaneously.

Python has also made a name for itself in the gaming world. Video games are extremely taxing to run on a system and programs that run the fastest are the ones that excel. That is why most video games are coded in C++. The language is fast and can handle the game’s need for power. For example, every time you move a character in a game you are doing a ton of work in the program – the location of the character is updated and the frame is completely regenerated. If the code runs slowly you are going to see the character stutter when it moves. This is a good example of where Python’s ability to integrate with other languages is valuable. One could implement the Cython library, which essentially translates the Python code to C in order to gain speed for the application. This allows the programmer to utilize the productivity of Python development with the running speed of the C language.

Traditionally, Python was not really used at all in mobile applications, but with a new library called Kivy that has begun to change. Kivy takes your Python code and creates mobile applications from it.

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