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@@ -485,7 +485,7 @@ <h3 class="anchored" data-anchor-id="numerical-libraries-data-structures-1">Nume
 <ul>
 <li><a href="https://github.com/joshuaulrich/xts">xts</a> - eXtensible Time Series: Provide for uniform handling of R’s different time-based data classes by extending zoo, maximizing native format information preservation and allowing for user level customization and extension, while simplifying cross-class interoperability.</li>
 <li><a href="https://github.com/Rdatatable/data.table">data.table</a> - Extension of data.frame: Fast aggregation of large data (e.g.&nbsp;100GB in RAM), fast ordered joins, fast add/modify/delete of columns by group using no copies at all, list columns and a fast file reader (fread). Offers a natural and flexible syntax, for faster development.</li>
-<li><a href="https://github.com/dppalomar/sparseEigen">sparseEigen</a> - Sparse pricipal component analysis.</li>
+<li><a href="https://github.com/dppalomar/sparseEigen">sparseEigen</a> - Sparse principal component analysis.</li>
 <li><a href="http://tsdbi.r-forge.r-project.org/">TSdbi</a> - Provides a common interface to time series databases.</li>
 <li><a href="https://cran.r-project.org/web/packages/tseries/index.html">tseries</a> - Time Series Analysis and Computational Finance.</li>
 <li><a href="https://cran.r-project.org/web/packages/zoo/index.html">zoo</a> - S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations).</li>
@@ -758,7 +758,7 @@ <h2 class="anchored" data-anchor-id="reproducing-works-training-books">Reproduci
 <li><a href="https://github.com/LongOnly/Quantitative-Notebooks">Quantitative-Notebooks</a> - Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy</li>
 <li><a href="https://quantecon.org/">QuantEcon</a> - Lecture series on economics, finance, econometrics and data science; QuantEcon.py, QuantEcon.jl, notebooks</li>
 <li><a href="https://github.com/Finance-Hub/FinanceHub">FinanceHub</a> - Resources for Quantitative Finance</li>
-<li><a href="https://github.com/dedwards25/Python_Option_Pricing">Python_Option_Pricing</a> - An libary to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options.</li>
+<li><a href="https://github.com/dedwards25/Python_Option_Pricing">Python_Option_Pricing</a> - An library to price financial options written in Python. Includes: Black Scholes, Black 76, Implied Volatility, American, European, Asian, Spread Options.</li>
 <li><a href="https://github.com/jpmorganchase/python-training">python-training</a> - J.P. Morgan’s Python training for business analysts and traders.</li>
 <li><a href="https://github.com/LastAncientOne/Stock_Analysis_For_Quant">Stock_Analysis_For_Quant</a> - Different Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau.</li>
 <li><a href="https://github.com/chrisconlan/algorithmic-trading-with-python">algorithmic-trading-with-python</a> - Source code for Algorithmic Trading with Python (2020) by Chris Conlan.</li>
@@ -795,7 +795,7 @@ <h2 class="anchored" data-anchor-id="reproducing-works-training-books">Reproduci
 <li><a href="https://github.com/attack68/book_irds3">book_irds3</a> - Code repository for Pricing and Trading Interest Rate Derivatives.</li>
 <li><a href="https://github.com/RichardS0268/Autoencoder-Asset-Pricing-Models">Autoencoder-Asset-Pricing-Models</a> - Reimplementation of Autoencoder Asset Pricing Models (<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3335536">GKX, 2019</a>).</li>
 <li><a href="https://github.com/shashankvemuri/Finance">Finance</a> - 150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data.</li>
-<li><a href="https://github.com/ram-ki/101_formulaic_alphas">101_formulaic_alphas</a> - Implemention of <a href="https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf">101 formulaic alphas</a> using qstrader.</li>
+<li><a href="https://github.com/ram-ki/101_formulaic_alphas">101_formulaic_alphas</a> - Implementation of <a href="https://arxiv.org/ftp/arxiv/papers/1601/1601.00991.pdf">101 formulaic alphas</a> using qstrader.</li>
 </ul>